Journal ArticleDOI
Current methods in medical image segmentation.
TLDR
A critical appraisal of the current status of semi-automated and automated methods for the segmentation of anatomical medical images is presented, with an emphasis on the advantages and disadvantages of these methods for medical imaging applications.Abstract:
▪ Abstract Image segmentation plays a crucial role in many medical-imaging applications, by automating or facilitating the delineation of anatomical structures and other regions of interest. We present a critical appraisal of the current status of semiautomated and automated methods for the segmentation of anatomical medical images. Terminology and important issues in image segmentation are first presented. Current segmentation approaches are then reviewed with an emphasis on the advantages and disadvantages of these methods for medical imaging applications. We conclude with a discussion on the future of image segmentation methods in biomedical research.read more
Citations
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Journal ArticleDOI
Überatlas: Fast and robust registration for multi-atlas segmentation☆
TL;DR: A novel feature-based registration method is presented which uses the uberatlas to simultaneously and robustly find correspondences and affine transformations to all atlas images.
Dissertation
Registration and Lesion Classification of Contrast-Enhanced Magnetic Resonance Breast Images
TL;DR: This thesis showed for the first time that including volume-preserving non-rigid registration into a CAD system for DCE MR mammography improves classification; that volume preservation increases the accuracy of flexible DCEMR mammography registrations; and that elastic properties were less important than boundary conditions and Poisson’s ratios.
Journal ArticleDOI
Commonly Used Porous Building Materials: Geomorphic Pore Structure and Fluid Transport
Liang Bo Hu,Cabot Savidge,Donna M. Rizzo,Nancy J. Hayden,James W. Hagadorn,Mandar M. Dewoolkar +5 more
TL;DR: In this article, X-ray scans were obtained of a variety of commonly used porous building materials to both qualitatively and quantitatively evaluate their pore structures and the effective porosity and permeability of these materials were also experimentally determined and compared to computed values.
Patent
Computationally efficient method for image segmentation with intensity and texture discrimination
TL;DR: In this article, the intensity matrix is converted to an intensity matrix based on the brightness of the pixels in the image, where each matrix element represents a pixel in the digital image and has a value corresponding to the intensity, i.e., the brightness, of that pixel.
Journal ArticleDOI
An Advanced Technique for Volumetric Analysis
TL;DR: A new approach to segmentation is proposed that removes the adverse effect on the boundary, which is unwanted especially from the point of view of volume rendering, and gives more accurate boundary detection and holes filling after segmentation.
References
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Book
Fuzzy sets
TL;DR: A separation theorem for convex fuzzy sets is proved without requiring that the fuzzy sets be disjoint.
Book
Neural Networks: A Comprehensive Foundation
TL;DR: Thorough, well-organized, and completely up to date, this book examines all the important aspects of this emerging technology, including the learning process, back-propagation learning, radial-basis function networks, self-organizing systems, modular networks, temporal processing and neurodynamics, and VLSI implementation of neural networks.
Journal ArticleDOI
Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
Stuart Geman,Donald Geman +1 more
TL;DR: The analogy between images and statistical mechanics systems is made and the analogous operation under the posterior distribution yields the maximum a posteriori (MAP) estimate of the image given the degraded observations, creating a highly parallel ``relaxation'' algorithm for MAP estimation.
Book
Co-planar stereotaxic atlas of the human brain : 3-dimensional proportional system : an approach to cerebral imaging
TL;DR: Direct and Indirect Radiologic Localization Reference System: Basal Brain Line CA-CP Cerebral Structures in Three-Dimensional Space Practical Examples for the Use of the Atlas in Neuroradiologic Examinations Three- Dimensional Atlas of a Human Brain Nomenclature-Abbreviations Anatomic Index Conclusions.