Literature DB >> 11811840

Vessel surface reconstruction with a tubular deformable model.

P J Yim1, J J Cebral, R Mullick, H B Marcos, P L Choyke.   

Abstract

Three-dimensional (3-D) angiographic methods are gaining acceptance for evaluation of atherosclerotic disease. However, measurement of vessel stenosis from 3-D angiographic methods can be problematic due to limited image resolution and contrast. We present a method for reconstructing vessel surfaces from 3-D angiographic methods that allows for objective measurement of vessel stenosis. The method is a deformable model that employs a tubular coordinate system. Vertex merging is incorporated into the coordinate system to maintain even vertex spacing and to avoid problems of self-intersection of the surface. The deformable model was evaluated on clinical magnetic resonance (MR) images of the carotid (n = 6) and renal (n = 2) arteries, on an MR image of a physical vascular phantom and on a digital vascular phantom. Only one gross error occurred for all clinical images. All reconstructed surfaces had a realistic, smooth appearance. For all segments of the physical vascular phantom, vessel radii from the surface reconstruction had an error of less than 0.2 of the average voxel dimension. Variability of manual initialization of the deformable model had negligible effect on the measurement of the degree of stenosis of the digital vascular phantom.

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Year:  2001        PMID: 11811840     DOI: 10.1109/42.974935

Source DB:  PubMed          Journal:  IEEE Trans Med Imaging        ISSN: 0278-0062            Impact factor:   10.048


  14 in total

1.  Coronary vessel trees from 3D imagery: a topological approach.

Authors:  Andrzej Szymczak; Arthur Stillman; Allen Tannenbaum; Konstantin Mischaikow
Journal:  Med Image Anal       Date:  2006-06-22       Impact factor: 8.545

2.  Automatic segmentation of the facial nerve and chorda tympani in CT images using spatially dependent feature values.

Authors:  Jack H Noble; Frank M Warren; Robert F Labadie; Benoit M Dawant
Journal:  Med Phys       Date:  2008-12       Impact factor: 4.071

3.  Comparison of manual and automatic segmentation methods for brain structures in the presence of space-occupying lesions: a multi-expert study.

Authors:  M A Deeley; A Chen; R Datteri; J H Noble; A J Cmelak; E F Donnelly; A W Malcolm; L Moretti; J Jaboin; K Niermann; Eddy S Yang; David S Yu; F Yei; T Koyama; G X Ding; B M Dawant
Journal:  Phys Med Biol       Date:  2011-07-01       Impact factor: 3.609

4.  Quantitative characterization of the hemodynamic environment in ruptured and unruptured brain aneurysms.

Authors:  J R Cebral; F Mut; J Weir; C Putman
Journal:  AJNR Am J Neuroradiol       Date:  2010-12-02       Impact factor: 3.825

5.  Correlation between lumenal geometry changes and hemodynamics in fusiform intracranial aneurysms.

Authors:  Liang-Der Jou; Gregory Wong; Brad Dispensa; Michael T Lawton; Randall T Higashida; William L Young; David Saloner
Journal:  AJNR Am J Neuroradiol       Date:  2005-10       Impact factor: 3.825

6.  Segmentation and tracking of cytoskeletal filaments using open active contours.

Authors:  Matthew B Smith; Hongsheng Li; Tian Shen; Xiaolei Huang; Eddy Yusuf; Dimitrios Vavylonis
Journal:  Cytoskeleton (Hoboken)       Date:  2010-11

7.  Simulation of blood flow in deformable vessels using subject-specific geometry and spatially varying wall properties.

Authors:  Guanglei Xiong; C Alberto Figueroa; Nan Xiao; Charles A Taylor
Journal:  Int J Numer Method Biomed Eng       Date:  2011-07       Impact factor: 2.747

8.  Virtual Interventions for Image-based Blood Flow Computation.

Authors:  Guanglei Xiong; Gilwoo Choi; Charles A Taylor
Journal:  Comput Aided Des       Date:  2012-01       Impact factor: 3.027

9.  An atlas-navigated optimal medial axis and deformable model algorithm (NOMAD) for the segmentation of the optic nerves and chiasm in MR and CT images.

Authors:  Jack H Noble; Benoit M Dawant
Journal:  Med Image Anal       Date:  2011-05-12       Impact factor: 8.545

10.  Hemodynamics in Normal Cerebral Arteries: Qualitative Comparison of 4D Phase-Contrast Magnetic Resonance and Image-Based Computational Fluid Dynamics.

Authors:  Juan R Cebral; Christopher M Putman; Marcus T Alley; Thomas Hope; Roland Bammer; Fernando Calamante
Journal:  J Eng Math       Date:  2009-08-01       Impact factor: 1.509

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