Literature DB >> 11180439

Quantitative analysis of vascular morphology from 3D MR angiograms: In vitro and in vivo results.

A F Frangi1, W J Niessen, P J Nederkoorn, J Bakker, W P Mali, M A Viergever.   

Abstract

A 3D model-based approach for quantification of vascular morphology from several MRA acquisition protocols was evaluated. Accuracy, reproducibility, and influence of the image acquisition techniques were studied via in vitro experiments with ground truth diameters and the measurements of two expert readers as reference. The performance of the method was similar to or more accurate than the manual assessments and reproducibility was also improved. The methodology was applied to stenosis grading of carotid arteries from CE MRA data. In 11 patients, the approach was compared to manual scores (NASCET criterion) on CE MRA and DSA images, with the result that the model-based technique correlates better with DSA than the manual scores. Spearman's correlation coefficient was 0.91 (P < 0.001) for the model-based technique and DSA vs. 0.80 and 0.84 (P < 0.001) between the manual scores and DSA. From the results it can be concluded that the approach is a promising objective technique to assess geometrical vascular parameters, including degree of stenosis. Magn Reson Med 45:311-322, 2001. Copyright 2001 Wiley-Liss, Inc.

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Year:  2001        PMID: 11180439     DOI: 10.1002/1522-2594(200102)45:2<311::aid-mrm1040>3.0.co;2-7

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  8 in total

1.  Automated quantification of carotid artery stenosis on contrast-enhanced MRA data using a deformable vascular tube model.

Authors:  Avan Suinesiaputra; Patrick J H de Koning; Elena Zudilova-Seinstra; Johan H C Reiber; Rob J van der Geest
Journal:  Int J Cardiovasc Imaging       Date:  2011-12-09       Impact factor: 2.357

2.  Integrated head-thoracic vascular MRI at 3 T: assessment of cranial, cervical and thoracic involvement of giant cell arteritis.

Authors:  T A Bley; O Wieben; M Uhl; N Miehle; M Langer; J Hennig; M Markl
Journal:  MAGMA       Date:  2005-08-29       Impact factor: 2.310

3.  Rapid vessel prototyping: vascular modeling using 3t magnetic resonance angiography and rapid prototyping technology.

Authors:  Michael Markl; Ralf Schumacher; Jürg Küffer; Thorsten A Bley; Jürgen Hennig
Journal:  MAGMA       Date:  2005-12-21       Impact factor: 2.310

4.  A review of coronary vessel segmentation algorithms.

Authors:  Maryam Taghizadeh Dehkordi; Saeed Sadri; Alimohamad Doosthoseini
Journal:  J Med Signals Sens       Date:  2011-01

5.  An Image Enhancement Algorithm Based on Fractional-Order Phase Stretch Transform and Relative Total Variation.

Authors:  Wei Wang; Ying Jia; Qiming Wang; Pengfei Xu
Journal:  Comput Intell Neurosci       Date:  2021-01-13

6.  Vascular tree segmentation in medical images using Hessian-based multiscale filtering and level set method.

Authors:  Jiaoying Jin; Linjun Yang; Xuming Zhang; Mingyue Ding
Journal:  Comput Math Methods Med       Date:  2013-11-19       Impact factor: 2.238

7.  A nonparametric shape prior constrained active contour model for segmentation of coronaries in CTA images.

Authors:  Yin Wang; Han Jiang
Journal:  Comput Math Methods Med       Date:  2014-04-01       Impact factor: 2.238

8.  Deep-learned 3D black-blood imaging using automatic labelling technique and 3D convolutional neural networks for detecting metastatic brain tumors.

Authors:  Yohan Jun; Taejoon Eo; Taeseong Kim; Hyungseob Shin; Dosik Hwang; So Hi Bae; Yae Won Park; Ho-Joon Lee; Byoung Wook Choi; Sung Soo Ahn
Journal:  Sci Rep       Date:  2018-06-21       Impact factor: 4.379

  8 in total

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