Journal ArticleDOI
Knowledge-based 3D analysis from 2D medical images
Atam P. Dhawan,Louis K. Arata +1 more
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TLDR
An anatomical knowledge-based system for image analysis that interprets CT/MR (computed tomography/magnetic resonance) images of the human chest cavity is reported, using a priori knowledge in the form of masks to guide the segmentation process.Abstract:
An anatomical knowledge-based system for image analysis that interprets CT/MR (computed tomography/magnetic resonance) images of the human chest cavity is reported. The approach utilizes a low-level image analysis system with the ability to analyze the data in bottom-up (or data-driven) and top-down (or model-driven) modes to improve the high-level recognition process. Several image segmentation algorithms, including K-means clustering, pyramid-based region extraction, and rule-based merging, are used for obtaining the segmented regions. To obtain a reasonable number of well-segmented regions that have a good correlation with the anatomy, a priori knowledge in the form of masks is used to guide the segmentation process. Segmentation of the brain is also considered. >read more
Citations
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GPS-SNO: computational prediction of protein S-nitrosylation sites with a modified GPS algorithm.
TL;DR: This work developed a novel software of GPS-SNO 1.0 for the prediction of S-nitrosylation sites and greatly improved the previously developed algorithm and released the GPS 3.0 algorithm for GPS- SNO.
Journal ArticleDOI
Knowledge-based classification and tissue labeling of MR images of human brain
TL;DR: The presents a knowledge-based approach to automatic classification and tissue labeling of 2D magnetic resonance (MR) images of the human brain that provides an accurate complete labeling of all normal tissues in the absence of large amounts of data nonuniformity.
Journal ArticleDOI
A snake for CT image segmentation integrating region and edge information
TL;DR: This work presents a deformable contour method for the problem of automatically delineating the external bone contours from a set of CT scan images and introduces a new region potential term and an edge focusing strategy that diminish the problems that the classical snake method presents when it is applied to the segmentation of CT images.
Journal ArticleDOI
Three-dimensional anatomical model-based segmentation of MR brain images through principal axes registration
Louis K. Arata,Atam P. Dhawan,Joseph P. Broderick,M.F. Gaskil-Shipley,A.V. Levy,Nora D. Volkow +5 more
TL;DR: The authors present a method to develop three-dimensional computerized composite models of brain structures to build a computerized anatomical atlas and demonstrate the use of such a composite model of ventricular structure to help segmentation of the ventricles and cerebrospinal fluid of MR brain images.
Journal ArticleDOI
Relaxation methods for supervised image segmentation
M.W. Hansen,William E. Higgins +1 more
TL;DR: These methods are particularly well suited to problems in 3D medical image analysis, where the images are large, the regions are topologically complex, and the tolerance of errors is low.
References
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Journal ArticleDOI
Image Segmentation Techniques
TL;DR: There are several image segmentation techniques, some considered general purpose and some designed for specific classes of images as discussed by the authors, some of which can be classified as: measurement space guided spatial clustering, single linkage region growing schemes, hybrid link growing scheme, centroid region growing scheme and split-and-merge scheme.
Journal ArticleDOI
Digital Step Edges from Zero Crossing of Second Directional Derivatives
TL;DR: The facet model is used to accomplish step edge detection and the Marr-Hildreth zero crossing of the Laplacian operator is found that it is the best performer; next is the Prewitt gradient operator.
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Shape-based interpolation of multidimensional objects
S.P. Raya,Jayaram K. Udupa +1 more
TL;DR: A shape-based interpolation scheme for multidimensional images is presented that not only minimizes user involvement in interactive segmentation, but also leads to more accurate representation and depiction of dynamic as well as static objects.
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Interactive display and analysis of 3-D medical images
TL;DR: The ANALYZE software system, which permits detailed investigation and evaluation of 3-D biomedical images, is discussed, which is unique in its synergistic integration of fully interactive modules for direct display, manipulation, and measurement of multidimensional image data.
Journal ArticleDOI
ANGY: A Rule-Based Expert System for Automatic Segmentation of Coronary Vessels From Digital Subtracted Angiograms
TL;DR: This paper details the design and implementation of ANGY, a rule-based expert system in the domain of medical image processing that identifies and isolates the coronary vessels while ignoring any nonvessel structures which may have arisen from noise, variations in background contrast, imperfect subtraction, and irrelevent anatomical detail.