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
Correlation of pain with objective quantification of magnetic resonance images in older adults with chronic low back pain.
Bernard P. Bechara,Vikas Agarwal,John F. Boardman,Subashan Perera,Debra K. Weiner,Nam Vo,James D. Kang,Gwendolyn Sowa +7 more
TL;DR: Although limited by small sample size, the objective parameter, MRI index, can be a potential imaging biomarker used to identify possible pain generators of patients with chronic low back pain.
Proceedings ArticleDOI
A multiple geometric deformable model framework for homeomorphic 3D medical image segmentation
TL;DR: This paper presents a 3D segmentation framework for multiple objects or compartments embedded as level sets that guarantees no overlap and vacuum, and leads to a computationally efficient evolution scheme largely independent of the number of objects.
Journal ArticleDOI
Evaluation of contrasting techniques for X-ray imaging of velvet worms (Onychophora)
Henry Jahn,Ivo de Sena Oliveira,Ivo de Sena Oliveira,Vladimir Gross,Christine Martin,Alexander Hipp,Georg Mayer,Jörg U. Hammel,Jörg U. Hammel +8 more
TL;DR: X‐ray micro‐computed tomography is a promising technique for studying onychophorans and, despite the benefits and disadvantages of different staining agents for specific tissues/structures, this method retrieves informative data that may eventually help address evolutionary questions long associated with OnyChophora.
Journal ArticleDOI
Statistical shape models of cuboid, navicular and talus bones.
Aleksandra Melińska,Patryk Romaszkiewicz,Justyna Wagel,Bartlomiej Antosik,Marek Sasiadek,D. Robert Iskander +5 more
TL;DR: The study indicates high clinical potential of statistical shape modelling in the characterisation of tarsal bones and can be applied in medical image analysis, orthopaedics and biomechanics in order to provide support for preoperative planning, better diagnosis or implant design.
Proceedings ArticleDOI
An automatic brain tumor segmentation tool
TL;DR: This paper introduces an automatic brain tumor segmentation method (ABTS) for segmenting multiple components of brain tumor using four magnetic resonance image modalities and its four stages involve automatic histogram multi-thresholding and morphological operations including geodesic dilation.
References
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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.
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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.
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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.