Literature DB >> 22826150

Accuracy and precision of vessel area assessment: manual versus automatic lumen delineation based on full-width at half-maximum.

Maarten A G Merkx1, Javier Oliván Bescós, Liesbeth Geerts, E Mariëlle H Bosboom, Frans N van de Vosse, Marcel Breeuwer.   

Abstract

PURPOSE: To evaluate the accuracy and precision of manual and automatic blood vessel diameter measurements, a quantitative comparison was conducted, using both phantom and clinical 3D magnetic resonance angiography (MRA) data. Since diameters are often manually measured, which likely is influenced by operator dependency, automatic lumen delineation, based on the full-width at half-maximum (FWHM), could improve these measurements.
MATERIALS AND METHODS: Manual and automatic diameter assessments were compared, using MRA data from a vascular phantom (geometry obtained with μCT) and clinical MRA data. The diameters were manually assessed by 15 MRA experts, using both caliper and contour tools. To translate the experimental results to clinical practice, the precision obtained using phantom data was compared to the precision obtained with clinical data.
RESULTS: A diameter error <10% was obtained with resolutions above 2, 3, and 5 pixels/diameter for the automatic FWHM, contour, and caliper methods, respectively. Using phantom data, precision of the manual methods was low (error >20%), even at high resolutions, while precision for the automatic method was high (error <3%) when using more than 2 pixels/diameter. A similar trend was found with clinical data.
CONCLUSION: The results obtained clearly demonstrate improvement in the accuracy and precision of vessel diameter measurements with use of the automatic FWHM-based method.
Copyright © 2012 Wiley Periodicals, Inc.

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Year:  2012        PMID: 22826150     DOI: 10.1002/jmri.23752

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  10 in total

1.  Assisting vascular access surgery planning for hemodialysis by using MR, image segmentation techniques, and computer simulations.

Authors:  M A G Merkx; A S Bode; W Huberts; J Oliván Bescós; J H M Tordoir; M Breeuwer; F N van de Vosse; E M H Bosboom
Journal:  Med Biol Eng Comput       Date:  2013-03-23       Impact factor: 2.602

2.  Quantifying errors in flow measurement using phase contrast magnetic resonance imaging: comparison of several boundary detection methods.

Authors:  Jing Jiang; Paul Kokeny; Wang Ying; Chris Magnano; Robert Zivadinov; E Mark Haacke
Journal:  Magn Reson Imaging       Date:  2014-11-12       Impact factor: 2.546

3.  Magnetic resonance imaging of the left atrial appendage post pulmonary vein isolation: Implications for percutaneous left atrial appendage occlusion.

Authors:  Sheldon M Singh; Laura Jimenez-Juan; Asaf Danon; Gorka Bastarrika; Andriy V Shmatukha; Graham A Wright; Eugene Crystal
Journal:  J Arrhythm       Date:  2014-09-23

4.  Aortic length measurements for pulse wave velocity calculation: manual 2D vs automated 3D centreline extraction.

Authors:  Arna van Engelen; Miguel Silva Vieira; Isma Rafiq; Marina Cecelja; Torben Schneider; Hubrecht de Bliek; C Alberto Figueroa; Tarique Hussain; Rene M Botnar; Jordi Alastruey
Journal:  J Cardiovasc Magn Reson       Date:  2017-03-08       Impact factor: 5.364

5.  The benefit of non contrast-enhanced magnetic resonance angiography for predicting vascular access surgery outcome: a computer model perspective.

Authors:  Maarten A G Merkx; Wouter Huberts; E Mariëlle H Bosboom; Aron S Bode; Javier Oliván Bescós; Jan H M Tordoir; Marcel Breeuwer; Frans N van de Vosse
Journal:  PLoS One       Date:  2013-02-04       Impact factor: 3.240

6.  Segmentation of hepatic vessels from MRI images for planning of electroporation-based treatments in the liver.

Authors:  Marija Marcan; Denis Pavliha; Maja Marolt Music; Igor Fuckan; Ratko Magjarevic; Damijan Miklavcic
Journal:  Radiol Oncol       Date:  2014-07-10       Impact factor: 2.991

7.  Nonenhanced hybridized arterial spin labeled magnetic resonance angiography of the extracranial carotid arteries using a fast low angle shot readout at 3 Tesla.

Authors:  Ioannis Koktzoglou; Matthew T Walker; Joel R Meyer; Ian G Murphy; Robert R Edelman
Journal:  J Cardiovasc Magn Reson       Date:  2016-04-12       Impact factor: 5.364

8.  Effects of the Ground Resolution and Thresholding on Crack Width Measurements.

Authors:  Hyunwoo Cho; Hyuk-Jin Yoon; Ju-Yeong Jung
Journal:  Sensors (Basel)       Date:  2018-08-12       Impact factor: 3.576

9.  Clinical Value of Machine Learning in the Automated Detection of Focal Cortical Dysplasia Using Quantitative Multimodal Surface-Based Features.

Authors:  Jia-Jie Mo; Jian-Guo Zhang; Wen-Ling Li; Chao Chen; Na-Jing Zhou; Wen-Han Hu; Chao Zhang; Yao Wang; Xiu Wang; Chang Liu; Bao-Tian Zhao; Jun-Jian Zhou; Kai Zhang
Journal:  Front Neurosci       Date:  2019-01-11       Impact factor: 4.677

10.  Feasibility and Robustness of 3T Magnetic Resonance Angiography Using Modified Dixon Fat Suppression in Patients With Known or Suspected Peripheral Artery Disease.

Authors:  Karl Jakob Weiss; Holger Eggers; Christian Stehning; Marc Kouwenhoven; Mithal Nassar; Burkert Pieske; Philipp Stawowy; Bernhard Schnackenburg; Sebastian Kelle
Journal:  Front Cardiovasc Med       Date:  2020-10-30
  10 in total

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