Literature DB >> 11896231

Computer-assisted analysis of three-dimensional MR angiograms.

Marcela Hernández-Hoyos1, Maciej Orkisz, Philippe Puech, Catherine Mansard-Desbleds, Philippe Douek, Isabelle E Magnin.   

Abstract

The software tools required for postprocessing of magnetic resonance (MR) angiograms include the following functions: data handling, image visualization, and vascular analysis. A custom postprocessing software called Magnetic Resonance Angiography Computer Assisted Analysis (MARACAS) has been developed. This software combines the most commonly used three-dimensional visualization techniques with image processing methods for analysis of vascular morphology on MR angiograms. The main contributions of MARACAS are (a) implementation of a fast method for stenosis quantification on three-dimensional MR angiograms, which is clinically applicable in a personal computer-based system; and (b) portability to the most widespread platforms. The quantification is performed in three steps: extraction of the vessel centerline, detection of vessel boundaries in planes locally orthogonal to the centerline, and calculation of stenosis parameters on the basis of the resulting contours. Qualitative results from application of the method to data from patients showed that the vessel centerline correctly tracked the vessel path and that contours were correctly estimated. Quantitative results obtained from images of phantoms showed that the computation of stenosis severity was accurate. Copyright RSNA, 2002

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Year:  2002        PMID: 11896231     DOI: 10.1148/radiographics.22.2.g02mr03421

Source DB:  PubMed          Journal:  Radiographics        ISSN: 0271-5333            Impact factor:   5.333


  6 in total

1.  Creation of individual ideally shaped stents using multi-slice CT: in vitro results from the semi-automatic virtual stent (SAVS) designer.

Authors:  Hideki Hyodoh; Yoshimi Katagiri; Toyohiko Sakai; Kazusa Hyodoh; Hidenari Akiba; Masato Hareyama
Journal:  Eur Radiol       Date:  2005-03-11       Impact factor: 5.315

2.  Coronary artery segmentation using geometric moments based tracking and snake-driven refinement.

Authors:  Kun Chen; Yong Zhang; Kilian Pohl; Tanveer Syeda-Mahmood; Zhihuan Song; Stephen T C Wong
Journal:  Annu Int Conf IEEE Eng Med Biol Soc       Date:  2010

3.  A monocentric centerline extraction method for ring-like blood vessels.

Authors:  Fengjun Zhao; Feifei Sun; Yuqing Hou; Yanrong Chen; Dongmei Chen; Xin Cao; Huangjian Yi; Bin Wang; Xiaowei He; Jimin Liang
Journal:  Med Biol Eng Comput       Date:  2017-09-02       Impact factor: 2.602

4.  Computer-assisted extraction of intracranial aneurysms on 3D rotational angiograms for computational fluid dynamics modeling.

Authors:  Herng-Hua Chang; Gary R Duckwiler; Daniel J Valentine; Woei Chyn Chu
Journal:  Med Phys       Date:  2009-12       Impact factor: 4.071

5.  Fully automatic algorithm for the analysis of vessels in the angiographic image of the eye fundus.

Authors:  Robert Koprowski; Sławomir Jan Teper; Beata Węglarz; Edward Wylęgała; Michał Krejca; Zygmunt Wróbel
Journal:  Biomed Eng Online       Date:  2012-06-22       Impact factor: 2.819

6.  Interactive 3D Analysis of Blood Vessel Trees and Collateral Vessel Volumes in Magnetic Resonance Angiograms in the Mouse Ischemic Hindlimb Model.

Authors:  Peter C Marks; Marilena Preda; Terry Henderson; Lucy Liaw; Volkhard Lindner; Robert E Friesel; Ilka M Pinz
Journal:  Open Med Imaging J       Date:  2013-10-31
  6 in total

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