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
Automatic Attribute Profiles
TL;DR: A framework for the automatic selection of filter thresholds based on Granulometric Characteristic Functions (GCFs) is presented, and it is shown that the redundant information is reduced within the resulting profiles (a problem of high occurrence, as regards manual selection).
Book ChapterDOI
Image Segmentation Techniques in Nuclear Medicine Imaging
Abdel-Ouahab Boudraa,Habib Zaidi +1 more
TL;DR: It is gratifying to see in overview the progress that image segmentation has made in the last ten years, from operator-dependent manual delineation of structures, through simple thresholding, the use of classifiers and fuzzy clustering, and more recently atlas-guided approaches incorporating prior information.
Journal ArticleDOI
Rapid method for correction of CSF partial volume in quantitative proton MR spectroscopic imaging.
TL;DR: SS‐IR‐FSE is a simple and rapid method for applying partial volume corrections in quantitative proton MRSI, which may be of particular value in the clinical environment when time constraints do not allow longer, perhaps more accurate segmentation methods to be used.
Journal ArticleDOI
Automatic cropping of MRI rat brain volumes using pulse coupled neural networks.
TL;DR: The use of the PCNN as an image segmentation strategy to crop MR images of rat brain volumes is shown and the associated PCNN image 'signature' is used to automate the brain cropping process with a trained artificial neural network.
Journal ArticleDOI
Global and local fuzzy energy-based active contours for image segmentation
TL;DR: An energy functional including a local fuzzy energy and a global fuzzy energy to attract the active contour and stop it on the object boundaries and the paper directly calculates the alterations of the fuzzy energy.
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.