Time-related capture areas are usually delineated using the backward particle tracking method, releasing circles of equally spaced particles around each well. In this way, an accurate delineation often requires both a very high number of particles and a manual capture zone encirclement. The aim of this work was to propose an ...

PURPOSE: Delineation of tumour boundaries is important for quantification of [(18)F]fluoro-2-deoxy-D: -glucose (FDG) positron emission tomography (PET) studies and for definition of biological target volumes in radiotherapy. Several (semi-)automatic tumour delineation methods have been proposed, but these methods differ substantially ...

Accurate segmentation of magnetic resonance images of the brain is of increasing interest in the study of many brain disorders. This paper reports our approach to obtain the segmentation by warping our segmented template to a target and then automatically modifying the boundary of each structure. Test results show that our approach can increase the overlap ...

Automatic delineation of buildings is very attractive for both civilian and military applications. Such applications include general mapping, detection of unauthorized constructions, change detection, etc. For military applications, high demand exists for accurate building change updates, covering large areas, and over short time ...

-Means (with 2 or 3 clusters) clustering introduced by Dunn (28) and used to segment PET brain tumours in (13:2063-2067. 13. W. Zhu, T.Jiang, "Automation Segmentation of PET Image for Brain Tumours" IEEE NSS-MIC, 2003 the tumour itself may facilitate dose painting for dosimetry optimization. Material and methods: Current

Automated left-ventricle (LV) boundary delineation from contrast ventriculograms has been studied for decades. Unfortunately, no accurate methods have ever been reported. A new knowledge based multistage method to automatically delineate the LV boundary at end diastole (ED) and end systole (ES) is discussed in this ...

We present a methodology for the automatic identification and delineation of germ-layer components in H&E stained images of teratomas derived from human and nonhuman primate embryonic stem cells. A knowledge and understanding of the biology of these cells may lead to advances in tissue regeneration and repair, the treatment of genetic and developmental ...

Modified pressure-regulator valve developed for arc powered wind tunnels allows automatic, accurate,

... Title : Automatic Construction of ... Descriptors : *COMPUTERIZED SIMULATION, *ARTIFICIAL ... SOFTWARE ENGINEERING, COMPUTER LOGIC ...

... Title : Automatic Construction of ... ARTIFICIAL INTELLIGENCE, COMPUTER PROGRAMS, COMPUTERIZED SIMULATION, ADAPTIVE ...

Delineation of structures to irradiate (the tumors) as well as structures to be spared (e.g., optic nerve, brainstem, or eyes) is required for advanced radiotherapy techniques. Due to a lack of time and the number of patients to be treated these cannot always be segmented accurately which may lead to suboptimal plans. A possible solution is to develop ...

Sulcal and gyral landmarks on the human cerebral cortex are required for various studies of the human brain. Whether used directly to examine sulcal geometry, or indirectly to drive cortical surface registration methods, the accuracy of these landmarks is essential. While several methods have been developed to automatically identify sulci and gyri, their accuracy may be ...

The author has identified the following significant results. Accurate identification and delineation

This is a bibliography of work related to automatic differentiation. Automatic differentiation is a technique for the fast, accurate propagation of derivative values using the chain rule. It is neither symbolic nor numeric. Automatic differentiation is a ...

In this work, we describe and evaluate a semi-automatic method for liver segmentation in CT images using a 3D interface with haptic feedback and stereo graphics. Recently, we reported our fast semi-automatic method using fast marching segmentation. Four users performed initialization of the method for 52 datasets by manually drawing seed-regions directly ...

Extraction of the mid-sagittal plane (MSP) is a key step for brain image registration and asymmetry analysis. We present a fast MSP extraction method for 3D MR images, based on automatic segmentation of the brain and on heuristic maximization of the cerebro-spinal fluid within the MSP. The method is robust to severe anatomical asymmetries between the hemispheres, caused by ...

We present a new mobile service for the translation of text from images taken by consumer-grade cell-phone cameras. Such capability represents a new paradigm for users where a simple image provides the basis for a service. The ubiquity and ease of use of cell-phone cameras enables acquisition and transmission of images anywhere and at any time a user wishes, delivering rapid and ...

We propose an automatic four-chamber heart segmentation system for the quantitative functional analysis of the heart from cardiac computed tomography (CT) volumes. Two topics are discussed: heart modeling and automatic model fitting to an unseen volume. Heart modeling is a nontrivial task since the heart is a complex nonrigid organ. The model must be ...

We propose an automatic four-chamber heart segmentation system for the quantitative functional analysis of the heart from cardiac computed tomography (CT) volumes. Two topics are discussed: heart modeling and automatic model fitting to an unseen volume. Heart modeling is a non-trivial task since the heart is a complex nonrigid organ. The model must be ...

A large variety of image analysis tasks require the segmentation of various regions in an image. For example, segmentation is required to generate accurate models of brain pathology that are important components of modern diagnosis and therapy. While the manual delineation of such structures gives accurate information, the ...

... The designer's goal of routinely achieving accurate automatic land- ings was still hampered by an acute problem, that of znomalous behavior of the ...

There has been an influx of imaging and treatment technologies into cancer radiotherapy over the past fifteen years. The result is that radiation fields can now be accurately shaped to target disease delineated on pre-treatment planning scans whilst sparing critical healthy structures. Two well known problems remain causes for concern. The first is inter- ...

In image-guided adaptive radiotherapy, it is important to have the capability to automatically and accurately delineate the rectal wall, which is a major dose-limiting organ in prostate cancer radiotherapy. As image registration is a process to find the spatial correspondence between two images, a major challenge in intensity-based ...

BackgroundSince the first well-known electrocardiogram (ECG) delineator based on Wavelet Transform (WT) presented by Li et al. in 1995, a significant research effort has been devoted to the exploitation of this promising method. Its ability to reliably delineate the major waveform components (mono- or bi-phasic P wave, QRS, and mono- or bi-phasic T wave) ...

This paper presents a novel, open access interactive platform for 3D medical image analysis, simulation and visualization, focusing in oncology images. The platform was developed through constant interaction and feedback from expert clinicians integrating a thorough analysis of their requirements while having an ultimate goal of assisting in accurately ...

PURPOSE: To investigate the feasibility and accuracy of an automated method to validate gross tumor volume (GTV) delineations with pathology in laryngeal and hypopharyngeal cancer. METHODS AND MATERIALS: High-resolution computed tomography (CT(HR)), magnetic resonance imaging (MRI), and positron emission tomography (PET) scans were obtained from 10 patients before total ...

Image segmentation and delineation is at the heart of modern radiotherapy, where the aim is to deliver as high a radiation dose as possible to a cancerous target whilst sparing the surrounding healthy tissues. This, of course, requires that a radiation oncologist dictates both where the tumour and any nearby critical organs are located. As well as in treatment planning, ...

Tracer kinetic modeling with dynamic positron emission tomography (PET) requires a plasma time-activity curve (PTAC) as an input function. Several image-derived input function (IDIF) methods that rely on drawing the region of interest (ROI) in large vascular structures have been proposed to overcome the problems caused by the invasive approach for obtaining the PTAC, especially for small-animal ...

Tracer kinetic modeling with dynamic Positron Emission Tomography (PET) requires a plasma time-activity curve (PTAC) as an input function. Several image-derived input function (IDIF) methods that rely on drawing the region-of-interest (ROI) in large vascular structures have been proposed to overcome the problems caused by the invasive approach to obtaining the PTAC, especially for small animal ...

Cell boundary segmentation in live cell image sequences is the first step towards quantitative analysis of cell motion and behavior. The time lapse microscopy imaging produces large volumes of image sequence collections which requires fast and robust automatic segmentation of cell boundaries to utilize further automated tools such as cell tracking to quantify and classify cell ...

Cell boundary segmentation in live cell image sequences is the first step towards quantitative analysis of cell motion and behavior. The time lapse microscopy imaging produces large volumes of image sequence collections which requires fast and robust automatic segmentation of cell boundaries to utilize further automated tools such as cell tracking to quantify and classify cell ...

Segmentation of the left ventricle is important in the assessment of cardiac functional parameters. Manual segmentation of cardiac cine MR images for acquiring these parameters is time-consuming. Accuracy and automation are the two important criteria in improving cardiac image segmentation methods. In this paper, we present a comprehensive approach to segment the left ventricle from short axis ...

Purpose: Organ delineation is one of the most tedious and time-consuming parts of radiotherapy planning. It is usually performed by manual contouring in two-dimensional slices using simple drawing tools, and it may take several hours to delineate all structures of interest in a three-dimensional (3D) data set used for planning. In this paper, a 3D ...

techniques. In particular, with IMRT (Intensity Modulated Radiation Therapy) radiotherapists need or not automatic methods can be used to generate contours to be used in radiation therapy plans, the index

Long-term electroencephalographic (EEG) recordings are important in the presurgical evaluation of refractory partial epilepsy for the delineation of the ictal onset zones. In this paper, we introduce a new concept for an automatic, fast, and objective localisation of the ictal onset zone in ictal EEG recordings. Canonical decomposition of ictal EEG ...

Accurate volumetry of brain tumors in magnetic resonance imaging (MRI) is important for evaluating the interval changes in tumor volumes during and after treatment, and also for planning of radiation therapy. In this study, an automated volumetry method for brain tumors in MRI was developed by use of a new three-dimensional (3-D) image segmentation technique. First, the ...

Multi-chamber heart segmentation is a prerequisite for quantification of the cardiac function. In this paper, we propose an automatic heart chamber segmentation system. There are two closely related tasks to develop such a system: heart modeling and automatic model fitting to an unseen volume. The heart is a complicated non-rigid organ with four chambers ...

Studies of the size and morphology of anatomical structures rely on accurate and reproducible delineation of the structures, obtained either by human raters or automatic segmentation algorithms. Measures of reproducibility and variability are vital aspects of such studies and are usually estimated using repeated scans or repeated ...

Studies of the size and morphology of anatomical structures rely on accurate and reproducible delineation of the structures, obtained either by human raters or automatic segmentation algorithms. Measures of reproducibility and variability are vital aspects of such studies and are usually acquired using repeated scans and repeated ...

BackgroundThe success of radiation therapy depends critically on accurately delineating the target volume, which is the region of known or suspected disease in a patient. Methods that can compute a contour set defining a target volume on a set of patient images will contribute greatly to the success of radiation therapy and dramatically reduce the workload ...

The Geoscience Laser Altimeter System (GLAS) has acquired over 250 million individual lidar observations over forest regions globally; an unprecedented dataset of vegetation heights. The vertical extent of waveforms collected by GLAS increases as a function of terrain slope and footprint size (the area on the ground that is illuminated by the laser), but we have demonstrated the ability to ...

Purpose: Accurate contouring of positron emission tomography (PET) functional volumes is now considered crucial in image-guided radiotherapy and other oncology applications because the use of functional imaging allows for biological target definition. In addition, the definition of variable uptake regions within the tumor itself may facilitate dose painting for dosimetry ...

The success of radiotherapy depends on the accurate delineation of the clinical target volume. The delineation of the lymph node regions has most impact, especially for tumors in the head and neck region. The purpose of this article was the development an atlas for the delineation of the clinical target volume for ...

Percutaneous radiofrequency ablation is one of the most promising alternatives to open surgery for the treatment of liver cancer. This operation is a minimally invasive procedure that consists in inserting a needle in targeted tissues that are destroyed by heat. The success of such an operation mainly depends on the accuracy of the needle insertion, making it possible to destroy the whole tumor, ...

Procedures for using SEM automatic image analysis (AIA) to obtain quantitative mineralogical descriptions of coals are updated from our earlier description (SEM/1978/I, pp. 561-568), as improvements have been made in many aspects of the method. Experiments designed to test the precision and accuracy of the method indicate that its precision is comparable to that of other ...

This paper presents a new method to determine the orientation or pose of the left ventricle (LV) of the heart from cardiac SPECT (Single Photon Emission Computed Tomography) data. This proposed approach offers an accurate, fast, and robust delineation of the LV long-axis. The location and shape of the generated long-axis can then be utilized to define ...

3D computed tomographic angiography (3D-CTA) has been described as an alternative to digital subtraction angiography (DSA) in the clinical evaluation of cerebrovascular diseases. A bone-free rendition of 3D-CTA facilitates a quick and accurate clinical evaluation of the disease. We propose a new bone removal process that is accomplished in three sequential steps - (1) primary ...

Autonomous geologic analysis of natural terrain is an important technique for science rovers exploring remote environments such as Mars. By automatically detecting and classifying rocks, rovers can efficiently survey an area, summarize results and concentrate on unusual discoveries, thus maximizing the scientific return. Similar techniques can be used in natural settings on ...

The availability of instruments for automatic petrography has enabled reproducible, accurate characterisation of coals to be obtained. A typical system is illustrated and examples of the information that it can provide are presented.

To more accurately and precisely delineate a tumor in a 3D PET image, we proposed a novel, semi-automatic, two-stage method by utilizing an adaptive region-growing algorithm and a dual-front active contour model. First, a rough region of interest (ROI) is manually drawn by a radiation oncologist that encloses a tumor. The voxel having ...

Accurate segmentation of tissue microarrays is a challenging topic because of some of the similarities exhibited by normal tissue and tumor regions. Processing speed is another consideration when dealing with imaged tissue microarrays as each microscopic slide may contain hundreds of digitized tissue discs. In this paper, a fast and accurate image ...

Sep 3, 2010 ... PROPOSAL TITLE: Security and Hyper-accurate Positioning Monitoring with ... The US Air Force is actively studying how to add security to ...

A measuring system is described for surveying and very accurately positioning objects with respect to a reference line. A principle use of this surveying system is for accurately aligning the electromagnets which direct a particle beam emitted from a part...

... parameters) to calculate accurate satellite positions at a ... THESES, HIGH RESOLUTION, METEOROLOGICAL SATELLITES, TIME, AUTOMATIC ...

... and experience, various levels of processing and various ... in developing the example solutions may be a ... of accurate problem solution specificaions. ...

It is believed that the robot vision system can be ... The main goal of a robot vision system is to provide an accurate interpretation of a ...

Treatment targets in functional neurosurgery usually consist of selected structures within the thalamus and basal ganglia, which can be stimulated in order to affect specific brain pathways. Chronic electrical stimulation of these structures is a widely used approach for selected patients with advanced movement disorders. An alternative therapeutic solution consists of producing a lesion in the ...

, G. J. & Marceau, D. J. (1998) Vorono�i diagrams, extended area stealing interpolation and tree crownTREE CROWN DELINEATION FROM DIGITAL ELEVATION MODELS AND HIGH RESOLUTION IMAGERY Christopher Meia. ABSTRACT : The aim of this study was to develop a methodology to delineate accurately tree crowns using

Purpose: A co-registered multimodality pattern analysis segmentation system (COMPASS) was developed to automatically delineate the radiation targets in head-and-neck cancer (HNC) using both {sup 18}F-fluoro-deoxy glucose-positron emission tomography (PET) and computed tomography (CT) images. The performance of the COMPASS was compared with the results of ...

Establishing the correspondences of brain anatomy with function is important for understanding neuroimaging data. Regional delineations on morphological surfaces define anatomical landmarks and help to visualize and interpret both functional data and morphological measures mapped onto the cortical surface. We present an efficient algorithm that accurately ...

During any image segmentation process, two distinct tasks are performed - recognition and delineation. Recognition consists of the searching phase which roughly identifies a particular object of interest among other neighboring structures present in the image. Delineation consists of precisely defining the spatial extent of the object region. Well designed ...

3D Magnetic Resonance (MR) and Diffusion Tensor Imaging (DTI) have become important noninvasive tools for the study of animal models of brain development and neuropathologies. Fully automated analysis methods adapted to rodent scale for these images will allow highthroughput studies. A fundamental first step for most quantitative analysis algorithms is skullstripping, which refers to the ...

A new method for elastic mono-modal image registration for adaptive fractionated radiotherapy is presented. Elastic registration is a prerequisite for many medical applications in diagnosis, therapy planning, and therapy. Especially for adaptive radiotherapy efficient and accurate registration is required. Therefore, we developed a fast block matching algorithm for robust ...

This is a bibliography of work related to automatic differentiation. Automatic differentiation is a technique for the fast, accurate propagation of derivative values using the chain rule. It is neither symbolic nor numeric. Automatic differentiation is a fundamental tool for scientific computation, with ...

Purpose: With higher radiation dose, higher cure rates have been reported in prostate cancer patients. The extra margin needed to account for prostate motion, however, limits the level of dose escalation, because of the presence of surrounding organs at risk. Knowledge of the precise position of the prostate would allow significant reduction of the treatment field. Better localization of the ...

Image segmentation techniques using fuzzy connectedness principles have shown their effectiveness in segmenting a variety of objects in several large applications in recent years. However, one problem with these algorithms has been their excessive computational requirements. In an attempt to substantially speed them up, in the present paper, we study systematically a host of 18 algorithms under ...

PurposeTo demonstrate the usefulness of enhanced depth imaging optical coherence tomography (EDI-OCT) in investigating choroidal lesions inaccessible to ultrasound sonography.MethodsIn a 60-year-old woman with an asymptomatic choroidal nevus, normal OCT was used to observe the macula and EDI-OCT to image the choroidal nevus that was inaccessible to ultrasound. The exact location of the lesion in ...

BackgroundOur aim was to develop an objective computerised system for measuring different types of retinal haemorrhages in differing digital images, for use as a research tool. Despite developing various fully automated systems of retinal haemorrhage measurement we ultimately found user interaction to be necessary to achieve satisfactory validity of segmentation, and developed an interactive ...

In this paper, we present a weighted radial edge filtering algorithm with adaptive recovery of dropout regions for the semi-automatic delineation of endocardial contours in short-axis echocardiographic image sequences. The proposed algorithm requires minimal user intervention at the end diastolic frame of the image sequence for specifying the candidate ...

Delineation of objects within medical images is often difficult to perform reproducibly when one relies upon hand-segmentation. To avoid inter- and intra-user variability, a semi-automatic segmentation method can more accurately and consistently determine the object boundaries. This paper presents a semi-automatic ...

Diffusion weighted imaging (DWI) is the gold standard for imaging of acute stroke. Today, high-field systems operating at 3T become increasingly available in clinical settings. But, with b-value increasing, lesion SNR of DWI image descends, and anisotropy increases significantly. Aim of the study is to develop an automatic volumetric measure method of ischemic lesions on ...

PURPOSE: To propose an automatic atlas-based segmentation framework of the dental structures, called Dentalmaps, and to assess its accuracy and relevance to guide dental care in the context of intensity-modulated radiotherapy. METHODS AND MATERIALS: A multi-atlas-based segmentation, less sensitive to artifacts than previously published head-and-neck segmentation methods, was ...

TYPICAL is a package for describing and making automatic inferences about a broad class of SCHEME predicate functions. These functions, called 'types' following popular usage, delineate classes of primitive SCHEME objects, composite data structures and ab...

The delineation of the transient snow line on a glacier was studied for the melting period by comparing the data from an automatic camera, aerial photographs, and LANDSAT-TM images. The accuracy achieved from TM band 2 regarding the course of the snow lin...

A computer edge-detection algorithm is developed for automatic delineation of mesoscale structure in digital satellite IR images of the ocean. The popular derivative-based edge operators are shown to be too sensitive to edge fine-structure and to weak gra...

This study addresses a two-class problem in automatic terrain classification. ne basic-level terrain feature selected for initial delineation is a mount - an aggregation of elevated features including hills, mountains, and ranges. All remaining areas are ...

We call the computerized assistive process of recognizing, delineating, and quantifying organs and tissue regions in medical imaging, occurring automatically during clinical image interpretation, automatic anatomy recognition (AAR). The AAR system we are developing includes five main parts: model building, object recognition, object ...

, because when l is created, l 0 is live, and exs(l 0 ) already takes care of any excess. 4.3 AchievingAutomatic Accurate Live Memory Analysis for Garbage�Collected Languages Leena Unnikrishnan #3; Scott and accurate live heap space and live heap space-bound analy- ses for high-level languages. The approach

Accurate and timely information about streamflow is essential for the forecasting of floods and low flows, the design and operation of water infrastructure, the delineation of flood plains, and the allocation and management of water and environmental resources. Providing this information is no simple task. Streams are highly dynamic systems undergoing ...

Purpose: Target-volume and organ-at-risk delineation is a time-consuming task in radiotherapy planning. The development of automated segmentation tools remains problematic, because of pelvic organ shape variability. We evaluate a three-dimensional (3D), deformable-model approach and a seeded region-growing algorithm for automatic ...

Accurate planning target volume delineation is vital to the success of conformal radiation techniques such as standard three-dimensional conformal radiotherapy and intensity modulated radiation therapy. With the exception of breath-hold schemes, all current approaches acquire images while the tumor is nonstationary and, as such, are subject to the presence ...

Radiotherapy planning requires accurate delineations of the critical structures. To avoid manual contouring, atlas-based segmentation can be used to get automatic delineations. However, the results strongly depend on the chosen atlas, especially for the head and neck region where the anatomical variability is high. ...

Reliable automated or semiautomated lung tumor delineation methods in positron emission tomography should provide accurate tumor boundary definition and separation of the lung tumor from surrounding tissue or "hot spots" that have similar intensities to the lung tumor. We propose a tumor-customized downhill (TCD) method to achieve these objectives. Our ...

SIREHNA has developed, for the French Ministry of Defence, a demonstrator of an automatic decking system for VTOL UAV on naval platform. This system allows to: (1) Accurately and continuously measure the position of the UAV with respect to the centre of t...

Boron in PWR primary coolant and related waters may be determined as boric acid by titration with sodium hydroxide, using a glass electrode as a pH indicator. With a modern automatic titrator, the analysis is quick, convenient, accurate and precise. In th...

The normalizing amplifier is entirely automatic in operation and is preferably composed of semiconductor circuitry. The amplifier has accurately stepped gain control for near precise data recording of sonar signals and the like. The actual gain per stage ...

When subjects receive extended practice searching for words from a consistently mapped (CM) category, search becomes substantially faster, more accurate, and less effortful. The present experiments examine the extent to which category search practice effe...

The automatic reentry flight dynamics simulator, a nonlinear, six-degree-of-freedom simulation, digital computer program, has been developed. The program includes a rotating, oblate earth model for accurate navigation calculations and contains adjustable ...

Comprehensive field tests were made by the Bureau of Mines at the Conda open pit mine near Soda Springs, Idaho, to determine whether surface geophysical techniques could be used to detect and delineate faults in phosphate deposits. The tests included seismic refraction, magnetometer, electrical resistivity, and airborne photography. Of the several geophysical techniques tested ...

Heart disease is one of the more life-threatening diseases. Accurate diagnosis and treatment are central to the survival of patients. Numerous diagnostic methods that can assess abnormalities of the heart have been developed. Among these methods, cardiac functional analysis has been widely used to derive cardiac functional parameters that describe the functionality of the ...

Management iv. Cityzoning standards Lincoln Municipal Code � 27.55 #12;10/15/2010 2 Typical flood plain scenario an engineering study to delineate the flood plain more accurately than FEMA has done. iii. Ask the Department of Natural Resources for assistancein delineating the flood plain. a. Dept. may say there is no greater data

Legislation mandating the protection of wetlands and current pressures to convert them to other uses emphasize the need to accurately determine a wetland-upland boundary. The authors investigated six methods designed to establish such a boundary based on ...

technologies were defined as any of the following that were directly incorporated into radiation therapy of these technologies in radiation therapy planning are needed. Key Words: Image-guided radiation therapy, IGRT, target of Radiology INTRODUCTION Accurate target definition is fundamental to radiation therapy (RT) planning

The author has identified the following significant results. Accurate identification and delineation of crested wheatgrass seedlings has enabled a broad inventory of this resource. The entire state of Nevada is being inventoried for crested wheatgrass see...

Genetic analysis of both native and introduced populations of invasive species can be used to examine population origins and spread. Accurate delineation of an invasive species¿ source populations can contribute to the search for specific and effective biological control agents. Medusahead, Taenia...

Accurate delineation of plume boundaries and vertical contaminant distribution are necessary in order to adequately characterize waste sites and determine remedial strategies to be employed. However, it is important to consider the sampling objectives, sampling methods, and sampl...

... and Method for Automatic, Rapid, Accurate and Sensitive Titration of ... of sample collection sites; Browse_Graphic_File_Type: JPEG. Back to Top ...

... and Method for Automatic, Rapid, Accurate and Sensitive Titration of .... Process_Description: Not Available; Process_Date: Unknown. Back to Top ...

... and Method for Automatic, Rapid, Accurate and Sensitive Titration of ... of sample collection sites; Browse_Graphic_File_Type: JPEG. Back to Top ...

The key problem in the automatic generation of digital terrain data is the matching of conjugate points on a stereo pair of aerial photographs in an accurate and timely manner. This report describes the development of suitable algorithms and systems proce...

Jul 28, 2006 ... NEWS MEDIA � MULTIMEDIA. Related Links ... Time and human memory are the biggest enemies of accurate turbulence reporting. ...

Gravel-bed rivers commonly display distinct sorting patterns on their beds. Visually, this heterogeneity often appears to form an organization of distinct textural patches or facies. The local bed surface grain size, and therefore bed surface patchiness, exerts considerable influence on local bed mobility, bedload transport rates, hydrodynamic roughness, and benthic microhabitats. Despite the ...

Research-grade airborne laser swath mapping (ALSM) data were acquired by the University of Florida's Geosensing and Engineering Mapping (GEM) Center along the St. Augustine Beach region of Florida six times between August 2003 and June 2006. ALSM, often referred to as Light Detection and Ranging (LiDAR), systems enable sub-meter sampling of the near-shore coastal topography. This high spatial ...

Collecting accurate behavioral events for extended periods can be time consuming. If a device could accurately record duration and frequency for a behavioral event, this would provide a useful research tool. The objectives of this study were to determine the accuracy of an automatic water meter comp...

A semi-automatic procedure for delineation of organs to be used as the basis of a whole body atlas database for radiation therapy planning was developed. The Visible Human Male Computed Tomography (CT)-data set was used as a ``standard man'' reference. The organ of interest was outlined manually and then transformed by a polynomial warping algorithm onto a ...

The efficacy of metal artefact reduction (MAR) software to suppress artefacts in reconstructed computed tomography (CT) images originating from small metal objects, like tumor markers and surgical clips, was evaluated. In addition, possible implications of using digital reconstructed radiographs (DRRs), based on the MAR CT images, for setup verification were analyzed. A phantom and 15 patients ...

Accurate volume of interest (VOI) estimation in PET is crucial in different oncology applications such as response to therapy evaluation and radiotherapy treatment planning. The objective of our study was to evaluate the performance of the proposed algorithm for automatic lesion volume delineation; namely the fuzzy hidden Markov chains ...

Image registration has many medical applications in diagnosis, therapy planning and therapy. Especially for time-adaptive radiotherapy, an efficient and accurate elastic registration of images acquired for treatment planning, and at the time of the actual treatment, is highly desirable. Therefore, we developed a fully automatic and fast block matching ...

Manual segmentation of pre-operative volumetric dataset is generally time consuming and results are subject to large inter-user variabilities. Level-set methods have been proposed to improve segmentation consistency by finding interactively the segmentation boundaries with respect to some priors. However, in thin and elongated structures, such as major aorto-pulmonary collateral arteries (MAPCAs), ...

Purpose: Three-dimensional rotational angiography (3DRA) is an evolving imaging procedure from traditional digital subtraction angiography and is gaining much interest for detecting intracranial aneurysms. Computational fluid dynamics (CFD) modeling plays an important role in understanding the biomechanical properties and in facilitating the prediction of aneurysm rupture. A successful ...

Airborne LiDAR surveys provide 3D high-resolution elevation information for area-wide applications. Due to the capability of LiDAR to penetrate vegetation cover highly accurate digital terrain models (DTMs) can be derived also for forested areas. Breaklines derived from LiDAR DTMs mark regions of slope discontinuities, describing the main characteristics of a terrain surface ...

Most of the algorithms for the common carotid artery (CCA) segmentation require human interaction. The aim of this study is to show a novel accurate algorithm for the computer-based automated tracing of CCA in longitudinal B-Mode ultrasound images. One hundred ultrasound B-Mode longitudinal images of the CCA were processed to delineate the region of ...

Image registration has many medical applications in diagnosis, therapy planning and therapy. Especially for time-adaptive radiotherapy, an efficient and accurate elastic registration of images acquired for treatment planning, and at the time of the actual treatment, is highly desirable. Therefore, we developed a fully automatic and fast block matching ...

To study dose-effect relations of prostate implants with I-125 seeds, accurate knowledge of the dose distribution in the prostate is essential. Commonly, a post-implant computed tomography (CT) scan is used to determine the geometry of the implant and to delineate the contours of the prostate. However, the delineation of the prostate ...

Purpose: Computer tomography-based (CT-based) tumor-volume definition is time consuming and is subject to clinical interpretation. CT is not accessible for standardized algorithms for the purpose of treatment-volume planning. We have evaluated the accuracy of target-volume definition based on the positron emission tomography (PET) data from an integrated PET/CT system with 2-[{sup ...

3-D conformal radiotherapy is based on accurate target volumes delineation. Radio-anatomy knowledge's are useful but sometimes difficult to obtain. Moreover, the sources of recommendations for volume definition are disparate. We thus developed a free radio-anatomy website dedicated to volumes delineation for radiation-oncologists ...

An approach for delineating high anomaly density areas within a mixture of two or more spatial Poisson fields based on limited sample data collected along strip transects was developed. All sampled anomalies were transformed to anomaly count data and indicator kriging was used to estimate the probability of exceeding a threshold value derived from the cdf of the background ...

Regions of visual texture can be automatically segregated from one another when they abut but also discriminated from one another if they are separated in space or time. A difference in mean orientation between two textures serves to facilitate their segmentation, whereas a difference in orientation variance does not. The present study further supports this notion, by ...

Accurately identifying the boundary of a watershed is one of the most fundamental and important steps in any hydrological assessment. Representative applications include defining a study area, predicting overland flow, estimating groundwater infiltration, modeling pollutant accumulation and wash-off rates, and evaluating effectiveness of pollutant mitigation measures. The ...

Assimilating accurate behavioral events over a long period can be labor intensive and relatively expensive. If an automatic device could accurately record the duration and frequency for a given behavioral event, it would be a valuable alternative to the traditional use of human observers for behavio...

Multibeam echosounders (MBES) are currently the best way to determine the bathymetry of large regions of the seabed with high accuracy. They are becoming the standard instrument for hydrographic surveying and are also used in geological studies, mineral exploration and scientific investigation of the earth's crustal deformations and life cycle. The significantly increased data density provided by ...

BackgroundFluorescent and bioluminescent time-lapse microscopy approaches have been successfully used to investigate molecular mechanisms underlying the mammalian circadian oscillator at the single cell level. However, most of the available software and common methods based on intensity-threshold segmentation and frame-to-frame tracking are not applicable in these experiments. This is due to cell ...

The proposed automatic section method achieves accurate automatic section on colon outer surface centerline and evert the colon, by calculating the centerline windowed average curvature. The method is validated on CT colon datasets, and experimental results show that the sectioned virtual eversion facilitates colon visualization and ...

To date, most accurate image retrieval techniques rely on textual descriptions of images. Our goal is to automatically generate indexing terms for an image extracted from a biomedical article by identifying Unified Medical Language System (UMLS) concepts in image caption and its discussion in the text. In a pilot evaluation of the suggested image indexing ...

Many applications require the derivatives of functions defined by computer programs. Automatic differentiation (AD) is a means of developing code to compute the derivatives of complicated functions accurately and efficiently, without the difficulties associated with developing correct code by hand. We discuss some of the issues involved in developing ...

Abstract. An algorithm for improved automatic segmentation of gross anatomical structures of the human brain is presented that merges the output of a tissue classification process with gross anatomical region masks, automatically defined by non-linear registration of a given data set with a probabilistic anatomical atlas. Experiments with 20 real MRI ...

Natural language processing (NLP)--the automatic analysis, understanding and generation of human language by computers--is vitally dependent on accurate knowledge about words. Because words change their behaviour between text types, domains and sub-languages, a fully accurate static lexical resource (e.g. a dictionary, word ...

Glaciers are widely recognized as sensitive indicators of climate change. In order to quantify this change accurately on a regional scale, a glacier inventory with vector outlines in a digital format is mandatory. Such inventories are presently compiled in all parts of the world using satellite data and later provided to the GLIMS glacier database. While automated glacier ...

Purpose: Accurate segmentation of lungs with severe interstitial lung disease (ILD) in thoracic computed tomography (CT) is an important and difficult task in the development of computer-aided diagnosis (CAD) systems. Therefore, we developed in this study a texture analysis-based method for accurate segmentation of lungs with severe ILD in multidetector CT ...

Highly conformal irradiation techniques are associated with steep gradient doses. Accuracy and reproducibility of delineation are required to avoid geometric misses and to properly report dose-volume effects on organs at risk. Guidelines of the International Commission on Radiation Units have largely contributed to high quality treatments. The ICRU endeavors to collect and ...