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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.

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Journal ArticleDOI

MRI Segmentation of the Human Brain: Challenges, Methods, and Applications

TL;DR: This paper first introduces the basic concepts of image segmentation, then explains different MRI preprocessing steps including image registration, bias field correction, and removal of nonbrain tissue.
Journal ArticleDOI

Segmentation of X‐ray computed tomography images of porous materials: A crucial step for characterization and quantitative analysis of pore structures

TL;DR: In this paper, the applicability of various thresholding and locally adaptive segmentation techniques for industrial and synchrotron X-ray CT images of natural and artificial porous media was investigated.
Journal ArticleDOI

On the Metrics and Euler-Lagrange Equations of Computational Anatomy

TL;DR: Current experimental results from the Toga & Thompson group in growth, the Van Essen group in macaque and human cortex mapping, and the Csernansky group in hippocampus mapping for neuropsychiatric studies in aging and schizophrenia are shown.
Journal ArticleDOI

High-throughput, subpixel precision analysis of bacterial morphogenesis and intracellular spatio-temporal dynamics.

TL;DR: Using MicrobeTracker, a versatile and high‐throughput image analysis program that outlines and segments cells with subpixel precision, even in crowded images and mini‐colonies, enabling cell lineage tracking, it is discovered that the dynamics of the extensively studied Escherichia coli Min oscillator depends on Min protein concentration.
Journal ArticleDOI

An Open Source Multivariate Framework for n-Tissue Segmentation with Evaluation on Public Data

TL;DR: This work describes the technical and implementation aspects of Atropos, an ITK-based multivariate n-class open source segmentation algorithm distributed with ANTs and evaluates its performance on two different ground-truth datasets.
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

Simon Haykin
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

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.
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