Literature DB >> 10642098

Vessel diameter measurements in gadolinium contrast-enhanced three-dimensional MRA of peripheral arteries.

J J Westenberg1, R J van der Geest, M N Wasser, E L van der Linden, T van Walsum, H C van Assen, A de Roos, J Vanderschoot, J H Reiber.   

Abstract

In this study, the possibilities for quantification of vessel diameters of peripheral arteries in gadolinium contrast-enhanced magnetic resonance angiography (Gd CE MRA) were evaluated. Absolute vessel diameter measurements were assessed objectively and semi-automatically in maximum intensity projections (MIPs) of contrast-enhanced T1-weighted 3D spoiled gradient-echo datasets, studied with digital subtraction techniques. In vivo, the complete peripheral arterial bed of six patients was studied, from the aorto-iliac bifurcation down to the distal run-off. By measuring the signal intensity (SI) over the lumen of a vessel in the MIP, an SI-plot was obtained. Next, the vessel boundaries were determined using a threshold algorithm; from these boundary points individual diameter values could be obtained along the trajectory of the vessel. In an in vitro study, an optimal threshold value of 30% of the range of SI-values between the background and the maximal SI in the vessel was obtained for accurate diameter measurement in Gd CE MRA (i.e., full-width 30%-maximum). Furthermore, the relationship between the accuracy of these measurements and the scan resolution was investigated. Accuracy was found to be acceptable (i.e., less than 10% over/underestimation) for vessel sizes covering at least 3 pixels. In six patients, diameters were measured in MIPs of the total datasets (i.e., D(T)) as well as in selective MIPs of the clipped datasets (i.e., D(S)) (n = 209). D(T) and D(S) were statistically significantly correlated (p < 0.01) with a Pearson correlation coefficient rP = 0.98. Measurements in the total MIPs yielded statistically significant (p < 0.01) smaller diameter values compared with measurements in selective MIPs, with a mean difference of 0.15 mm. Diameter values from the selective MIPs of the aorto-iliac arteries were also compared with diameter values measured at corresponding anatomic positions in X-ray angiograms of these patients (i.e., D(x)) (n = 70). D(X) and D(S) were statistically significantly correlated (p < 0.01) with a Pearson correlation coefficient rP = 0.92. Diameters measured in the selective MIPs were smaller than those measured in the X-ray angiograms (mean difference 0.49 mm) and this difference was statistically significant (p < 0.01). In conclusion, diameter values can be evaluated accurately in MIPs of vessels with at least 3 pixels in diameter, using the full-width 30%-maximum criterion.

Entities:  

Mesh:

Substances:

Year:  2000        PMID: 10642098     DOI: 10.1016/s0730-725x(99)00099-5

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  10 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.  Effects of zero-filled interpolation on cervical magnetic resonance angiographic measurement.

Authors:  Kirsten P Forbes; James G Pipe; John P Karis; Joseph E Heiserman
Journal:  AJNR Am J Neuroradiol       Date:  2003-03       Impact factor: 3.825

Review 3.  MRA of abdominal vessels: technical advances.

Authors:  Henrik J Michaely; Olaf Dietrich; Kambiz Nael; Sabine Weckbach; Maximilian F Reiser; Stefan O Schoenberg
Journal:  Eur Radiol       Date:  2006-05-24       Impact factor: 5.315

4.  On the shape of the common carotid artery with implications for blood velocity profiles.

Authors:  Amir Manbachi; Yiemeng Hoi; Bruce A Wasserman; Edward G Lakatta; David A Steinman
Journal:  Physiol Meas       Date:  2011-10-27       Impact factor: 2.833

5.  [Evaluation of the lower leg vessels before microsurgical fibula transfer. Magnetic resonance angiography versus digital subtraction angiography].

Authors:  F Hölzle; E-P Franz; V H von Diepenbroick; K-D Wolff
Journal:  Mund Kiefer Gesichtschir       Date:  2003-07-03

6.  Magnetic resonance angiographic assessment of upper extremity vessels prior to vascular access surgery: feasibility and accuracy.

Authors:  Nils R Planken; Jan H Tordoir; Lucien E Duijm; Harrie C van den Bosch; Frank M van der Sande; Jeroen P Kooman; Michiel W de Haan; Tim Leiner
Journal:  Eur Radiol       Date:  2007-07-24       Impact factor: 5.315

Review 7.  Whole-body magnetic resonance angiography at 3.0 Tesla.

Authors:  Michael Fenchel; Kambiz Nael; Achim Seeger; Ulrich Kramer; Roya Saleh; Stephan Miller
Journal:  Eur Radiol       Date:  2008-02-15       Impact factor: 7.034

8.  Impact of source data on the interpretation of contrast-enhanced magnetic resonance angiography of the lower limbs.

Authors:  Mark Lewis; Madhavi Venumbaka; Kevin Gill; James Cannon; Allan Clark; Andoni P Toms; Paul N Malcolm
Journal:  BMC Res Notes       Date:  2014-04-23

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.  One-pot synthesis of carboxymethyl-dextran coated iron oxide nanoparticles (CION) for preclinical fMRI and MRA applications.

Authors:  Manasmita Das; Esteban A Oyarzabal; Lars Chen; Sung-Ho Lee; Neal Shah; Gabby Gerlach; Weiting Zhang; Tzu-Hao Harry Chao; Nathalie Van Den Berge; Carolyn Liu; Carrie Donley; Stephanie A Montgomery; Yen-Yu Ian Shih
Journal:  Neuroimage       Date:  2021-06-09       Impact factor: 6.556

  10 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.