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Medical Image Segmentation

by Xiaolei Huang, Gavriil Tsechpenakis
"... formats are often stored in Picture Archiving and Communication Systems (PACS) and linked with other clinical information in EHR clinical management systems. Research efforts have been devoted to processing and analyzing medical images to extract meaningful information such as volume, shape, motion ..."
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detail on two of the most recent methods for medical image segmentation: (i) the Metamorphs, a semi-parametric deformable model that combines appearance and shape into a unified space, and (ii) the integration of geometric models with a collaborative formulation of CRFs in a probabilistic segmentation

Active Mask Framework for Segmentation of Fluorescence Microscope Images

by Gowri Srinivasa, Advisor Prof, Prof Matthew, C. Fickus, Prof Adam, D. Linstedt, Prof Robert, F. Murphy
"... m]]l]]s¶D]]¿÷mB]iv]b]oD]m¶¨]iv]§]iv]r]j]t¿rv]]irj]]t]]m] / | ap]]r¿]ÎNy]s¶D]]mb¶r]ix} Û]Ix]]rd]mb]} p—N]t]o%ism] in]ty]m] / || Û]Is]¡uÎc]rN]]riv]nd]p]*N]m]st¶ I always bow to Śri ̄ Śāradāmbā, the limitless ocean of the nectar of compassion, who bears a rosary, a vessel of nectar, the symbol of ..."
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of knowledge and a book in Her lotus hands. Dedicated to the Lotus Feet of the revered Sadguru. This thesis presents a new active mask (AM) framework and an algorithm for segmenta-tion of digital images, particularly those of punctate patterns from fluorescence microscopy. Fluorescence microscopy has greatly

Shape Priors in Medical Image Analysis: Extensions of the Level Set Method

by Author Albert Montillo, A. Montillo
"... The 3D medical image segmentation problem typically involves assigning labels to 3D pixels, called voxels, which comprise a given medical volume. In its simplest form the segmentation problem involves assigning the labels "part of the structure of interest" or "not part of the structu ..."
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unknown topology the level set framework was recently introduced to segment medical images. Unlike active contours, the level set method relies on an implicit shape representation rather than an explicit shape representation and hence new methods to impose prior knowledge about expected shape have

Materials for an exploratory theory of the network society.

by Manuel Castells , Anthony Giddens , Alain Touraine , Anthony Smith , Benjamin Barber , Peter Hall , Roger-Pol Droit , Sophie Watson , Frank Webster , Krishan Kumar , David Lyon , Craig Calhoun , Jeffrey Henderson , Ramon Ramos , Jose E Rodrigues-Ibanez , Jose F Tezanos , Mary Kaldor , Stephen Jones , Christopher Freeman - The British Journal of Sociology , 2000
"... ABSTRACT This article aims at proposing some elements for a grounded theor y of the network society. The network society is the social structure characteristic of the Information Age, as tentatively identi ed by empirical, cross-cultural investigation. It permeates most societies in the world, in v ..."
Abstract - Cited by 122 (0 self) - Add to MetaCart
together in the multimedia system, computer-operated by the digitalized set-top box that opens up hundreds of channels of interactive communication, reaching from the global from the local. While there is oligopolistic concentration of multimedia groups, there is, at the same time, market segmentation

Physics-based deformable organisms for medical image analysis

by Ghassan Hamarneh, Chris Mcintosh - In Proceedings of the SPIE conference on medical imaging: image processing
"... In medical image analysis strategies based on deformable models, controlling the de-formations of models is a desirable goal in order to produce proper segmentations. In teraction, global-to-local deformations, shape statistics, setting low-level parameters, and incorporating new forces or energy te ..."
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In medical image analysis strategies based on deformable models, controlling the de-formations of models is a desirable goal in order to produce proper segmentations. In teraction, global-to-local deformations, shape statistics, setting low-level parameters, and incorporating new forces or energy

Research Article A Framework of Vertebra Segmentation Using the Active Shape Model-Based Approach

by Mohammed Benjelloun, Saïd Mahmoudi, Fabian Lecron , 2011
"... Copyright © 2011 Mohammed Benjelloun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. We propose a medical image segmentation a ..."
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Copyright © 2011 Mohammed Benjelloun et al. This is an open access article distributed under the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. We propose a medical image segmentation

ADAPTIVE SHAPE PRIOR MODELING VIA ONLINE DICTIONARY LEARNING

by Shaoting Zhang, Yiqiang Zhan, Yan Zhou, Dimitris Metaxas
"... “Shape ” and “appearance”, the two pillars of a deformable model, complement each other in object segmentation. In many medical imaging applications, while the low-level appearance information is weak or mis-leading, shape priors play a more important role to guide a correct segmentation. The recent ..."
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“Shape ” and “appearance”, the two pillars of a deformable model, complement each other in object segmentation. In many medical imaging applications, while the low-level appearance information is weak or mis-leading, shape priors play a more important role to guide a correct segmentation

Segmentation and quantification of subcellular structures in fluorescence microscopy images using Squassh

by Aurélien Rizk , Grégory Paul , Pietro Incardona , Milica Bugarski , Maysam Mansouri , Axel Niemann , Urs Ziegler , Philipp Berger , Ivo F Sbalzarini - 2015 by the authors; licensee MDPI
"... IntroDuctIon An increasing amount of biological and medical research relies on single-cell imaging to obtain information about the phenotypic response of cells to a variety of chemical, mechanical and genetic perturbations. Although it is possible to distinguish obvious phenotypes by eye, computati ..."
Abstract - Cited by 2 (0 self) - Add to MetaCart
various conditions and over time opens doors for spatiotemporal modeling of biological processes 1 . Quantification of the shapes and spatial distributions of subcellular objects is an important task, as the fluorescent probes are usually related to cellular markers. Colocalization of objects between

Deformable Template and Distribution Mixture-Based Data Modeling for the Endocardial Contour Tracking in an Echographic Sequence

by Max Mignotte, Jean Meunier - In Proc. CVPR , 1999
"... We 1 present a new method to shape-based segmentation of deformable anatomical structures in medical images and validate this approach by detecting and tracking the endocardial border in an echographic image sequence. To this end, a global prior knowledge of the endocardial contour is captured by a ..."
Abstract - Cited by 15 (4 self) - Add to MetaCart
We 1 present a new method to shape-based segmentation of deformable anatomical structures in medical images and validate this approach by detecting and tracking the endocardial border in an echographic image sequence. To this end, a global prior knowledge of the endocardial contour is captured by a

Pattern Analysis & Applications (2001)4:256–271 © 2001 Springer-Verlag London Limited Endocardial Boundary Estimation and Tracking in Echocardiographic Images using Deformable Templates and Markov

by Random Fields, Max Mignotte, Jean Meunier, Jean-claude Tardif
"... Abstract: We present a new approach to shape-based segmentation and tracking of deformable anatomical structures in medical images, and validate this approach by detecting and tracking the endocardial contour in an echocardiographic image sequence. To this end, some global prior shape knowledge of t ..."
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Abstract: We present a new approach to shape-based segmentation and tracking of deformable anatomical structures in medical images, and validate this approach by detecting and tracking the endocardial contour in an echocardiographic image sequence. To this end, some global prior shape knowledge
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