Literature DB >> 17354637

Vessel axis tracking using topology constrained surface evolution.

Rashindra Manniesing1, Max A Viergever, Wiro J Niessen.   

Abstract

An approach to 3-D vessel axis tracking based on surface evolution is presented. The main idea is to guide the evolution of the surface by analyzing its skeleton topology during evolution, and imposing shape constraints on the topology. For example, the intermediate topology can be processed such that it represents a single vessel segment, a bifurcation, or a more complex vascular topology. The evolving surface is then reinitialized with the newly found topology. Reinitialization is a crucial step since it creates probing behavior of the evolving front, encourages the segmentation process to extract the vascular structure of interest and reduces the risk on leaking of the curve into the background. The method was evaluated in two computed tomography angiography applications: 1) extracting the internal carotid arteries including the region in which they traverse through the skull base, which is challenging due to the proximity of bone structures and overlap in intensity values; 2) extracting the carotid bifurcations including many cases in which they are severely stenosed and contain calcifications. The vessel axis was found in 90% (18/20 internal carotids in ten patients) and 70% (14/20 carotid bifurcations in a different set of ten patients) of the cases.

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Year:  2007        PMID: 17354637     DOI: 10.1109/TMI.2006.891503

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


  7 in total

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Authors:  M Freiman; L Joskowicz; N Broide; M Natanzon; E Nammer; O Shilon; L Weizman; J Sosna
Journal:  Int J Comput Assist Radiol Surg       Date:  2012-02-29       Impact factor: 2.924

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.  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

4.  Sequential vessel segmentation via deep channel attention network.

Authors:  Dongdong Hao; Song Ding; Linwei Qiu; Yisong Lv; Baowei Fei; Yueqi Zhu; Binjie Qin
Journal:  Neural Netw       Date:  2020-05-13

5.  Virtual-Reality Simulator System for Double Interventional Cardiac Catheterization Using Fractional-Order Vascular Access Tracker and Haptic Force Producer.

Authors:  Guan-Chun Chen; Chia-Hung Lin; Chien-Ming Li; Kai-Sheng Hsieh; Yi-Chun Du; Tainsong Chen
Journal:  ScientificWorldJournal       Date:  2015-06-14

6.  Robust vessel segmentation in fundus images.

Authors:  A Budai; R Bock; A Maier; J Hornegger; G Michelson
Journal:  Int J Biomed Imaging       Date:  2013-12-12

7.  Axis-Guided Vessel Segmentation Using a Self-Constructing Cascade-AdaBoost-SVM Classifier.

Authors:  Xin Hu; Yuanzhi Cheng; Deqiong Ding; Dianhui Chu
Journal:  Biomed Res Int       Date:  2018-03-18       Impact factor: 3.411

  7 in total

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