Literature DB >> 15224848

A review on MR vascular image processing: skeleton versus nonskeleton approaches: part II.

Jasjit S Suri1, Kecheng Liu, Laura Reden, Swamy Laxminarayan.   

Abstract

Vascular segmentation has recently been given much attention. This review paper has two parts. Part I of this review focused on the physics of magnetic resonance angiography (MRA) and prefiltering techniques applied to MRA. Part II of this review presents the state-of-the-art overview, status, and new achievements in vessel segmentation algorithms from MRA. The first part of this review paper is focused on the nonskeleton or direct-based techniques. Here, we present eight different techniques along with their mathematical foundations, algorithms and their pros and cons. We will also focus on the skeleton or indirect-based techniques. We will discuss three different techniques along with their mathematical foundations, algorithms and their pros and cons. This paper also includes a clinical discussion on skeleton versus nonskeleton-based segmentation techniques. Finally, we shall conclude this paper with the possible challenges, the future, and a brief summary on vascular segmentation techniques.

Mesh:

Year:  2002        PMID: 15224848     DOI: 10.1109/titb.2002.804136

Source DB:  PubMed          Journal:  IEEE Trans Inf Technol Biomed        ISSN: 1089-7771


  10 in total

1.  A fast and fully automatic method for cerebrovascular segmentation on time-of-flight (TOF) MRA image.

Authors:  Xin Gao; Yoshikazu Uchiyama; Xiangrong Zhou; Takeshi Hara; Takahiko Asano; Hiroshi Fujita
Journal:  J Digit Imaging       Date:  2011-08       Impact factor: 4.056

2.  Segmentation of arteries in MPRAGE images of the ventral medial prefrontal cortex.

Authors:  N Penumetcha; B Jedynak; M Hosakere; E Ceyhan; K N Botteron; J T Ratnanather
Journal:  Comput Med Imaging Graph       Date:  2007-10-26       Impact factor: 4.790

3.  A non-parametric vessel detection method for complex vascular structures.

Authors:  Xiaoning Qian; Matthew P Brennan; Donald P Dione; Wawrzyniec L Dobrucki; Marcel P Jackowski; Christopher K Breuer; Albert J Sinusas; Xenophon Papademetris
Journal:  Med Image Anal       Date:  2008-06-14       Impact factor: 8.545

4.  Adaptive segmentation of cerebrovascular tree in time-of-flight magnetic resonance angiography.

Authors:  J T Hao; M L Li; F L Tang
Journal:  Med Biol Eng Comput       Date:  2007-09-06       Impact factor: 2.602

5.  Two Automated Techniques for Carotid Lumen Diameter Measurement: Regional versus Boundary Approaches.

Authors:  Tadashi Araki; P Krishna Kumar; Harman S Suri; Nobutaka Ikeda; Ajay Gupta; Luca Saba; Jeny Rajan; Francesco Lavra; Aditya M Sharma; Shoaib Shafique; Andrew Nicolaides; John R Laird; Jasjit S Suri
Journal:  J Med Syst       Date:  2016-06-14       Impact factor: 4.460

6.  A new human heart vessel identification, segmentation and 3D reconstruction mechanism.

Authors:  Aqeel Al-Surmi; Rahmita Wirza; Ramlan Mahmod; Fatimah Khalid; Mohd Zamrin Dimon
Journal:  J Cardiothorac Surg       Date:  2014-10-02       Impact factor: 1.637

7.  Automatic image processing pipeline for tracking longitudinal vessel changes in magnetic resonance angiography.

Authors:  Chih-Yang Hsu; Yimei Li; Yuanyuan Han; Lucas Elijovich; Noah D Sabin; Tarek Abuelem; Radmehr Torabi; Austin Faught; Chia-Ho Hua; Paul Klimo; Thomas E Merchant; John T Lucas
Journal:  J Magn Reson Imaging       Date:  2019-03-07       Impact factor: 4.813

8.  Atlas-based analysis of 4D flow CMR: automated vessel segmentation and flow quantification.

Authors:  Mariana Bustamante; Sven Petersson; Jonatan Eriksson; Urban Alehagen; Petter Dyverfeldt; Carl-Johan Carlhäll; Tino Ebbers
Journal:  J Cardiovasc Magn Reson       Date:  2015-10-05       Impact factor: 5.364

9.  A Fully Automated Method for Segmenting Arteries and Quantifying Vessel Radii on Magnetic Resonance Angiography Images of Varying Projection Thickness.

Authors:  Sivakami Avadiappan; Seyedmehdi Payabvash; Melanie A Morrison; Angela Jakary; Christopher P Hess; Janine M Lupo
Journal:  Front Neurosci       Date:  2020-06-16       Impact factor: 4.677

10.  Imaging of the pial arterial vasculature of the human brain in vivo using high-resolution 7T time-of-flight angiography.

Authors:  Saskia Bollmann; Hendrik Mattern; Michaël Bernier; Simon D Robinson; Daniel Park; Oliver Speck; Jonathan R Polimeni
Journal:  Elife       Date:  2022-04-29       Impact factor: 8.713

  10 in total

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