Literature DB >> 12704777

PUBS: pulsatility-based segmentation of lumens conducting non-steady flow.

Noam Alperin1, Sang Hoon Lee.   

Abstract

Dynamic velocity-encoded phase-contrast MRI (PC-MRI) techniques are being used increasingly to quantify pulsatile flows for a variety of clinical applications. Studies suggest that the reliability of flow quantitation with PC-MRI appears to be dominated by the consistency in the delineation of the lumen boundary. An automated method that utilizes both spatial and temporal information has been developed for improved accuracy and reproducibility. The method's accuracy was evaluated using a flow phantom with 8- and 5-mm-diameter lumens at two different flow rates. The reproducibility of the method was further evaluated with arterial, venous, and cerebrospinal fluid flow data from human subjects. The results were compared with measurements obtained manually by observers of different skill levels. Measurement values obtained manually were consistently smaller than those obtained with the pulsatility-based segmentation (PUBS) method. For the 8-mm lumen, significant improvements in measurement accuracy were obtained. Average lumen area measurement errors of about 18% for the high and low flows, obtained manually by a skilled observer, were reduced to 2.9% and 4.8%, respectively. For the 5-mm lumen, the skilled observer underestimated the lumen area by 13%, while the PUBS method overestimated the lumen area by 28%. Overestimated lumen area measurements for the smaller lumen are attributed to the partial-volume effect. There was significantly less measurement variability with the PUBS method. An average fourfold reduction in interobserver measurement variability was obtained with the new method. Copyright 2003 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2003        PMID: 12704777     DOI: 10.1002/mrm.10455

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


  24 in total

1.  MRI evidence of impaired CSF homeostasis in obesity-associated idiopathic intracranial hypertension.

Authors:  N Alperin; S Ranganathan; A M Bagci; D J Adams; B Ertl-Wagner; E Saraf-Lavi; E M Sklar; B L Lam
Journal:  AJNR Am J Neuroradiol       Date:  2012-07-05       Impact factor: 3.825

2.  Relationship between variations in the circle of Willis and flow rates in internal carotid and basilar arteries determined by means of magnetic resonance imaging with semiautomated lumen segmentation: reference data from 125 healthy volunteers.

Authors:  H Tanaka; N Fujita; T Enoki; K Matsumoto; Y Watanabe; K Murase; H Nakamura
Journal:  AJNR Am J Neuroradiol       Date:  2006-09       Impact factor: 3.825

3.  Semiautomatic analysis of phase contrast magnetic resonance imaging of cerebrospinal fluid flow through the aqueduct of Sylvius.

Authors:  Yudy Natalia Flórez; David Moratal; Juana Forner; Luis Martí-Bonmatí; Estanislao Arana; Ulises Guajardo-Hernández; José Millet-Roig
Journal:  MAGMA       Date:  2006-05-09       Impact factor: 2.310

4.  Flow-gated radial phase-contrast imaging in the presence of weak flow.

Authors:  Hsu-Hsia Peng; Teng-Yi Huang; Fu-Nien Wang; Hsiao-Wen Chung
Journal:  Int J Cardiovasc Imaging       Date:  2012-05-03       Impact factor: 2.357

5.  Flow-area relationship in internal carotid and vertebral arteries.

Authors:  J R Cebral; M A Castro; C M Putman; N Alperin
Journal:  Physiol Meas       Date:  2008-05-07       Impact factor: 2.833

6.  Imaging-Based Features of Headaches in Chiari Malformation Type I.

Authors:  Noam Alperin; James R Loftus; Carlos J Oliu; Ahmet M Bagci; Sang H Lee; Birgit Ertl-Wagner; Raymond Sekula; Terry Lichtor; Barth A Green
Journal:  Neurosurgery       Date:  2015-07       Impact factor: 4.654

7.  [Non-invasive estimation of intracranial pressure : MR-based evaluation in children with hydrocephalus].

Authors:  M Muehlmann; D Steffinger; A Peraud; M Lehner; F Heinen; N Alperin; B Ertl-Wagner; I K Koerte
Journal:  Radiologe       Date:  2012-09       Impact factor: 0.635

8.  Influence of the compliance of the neck arteries and veins on the measurement of intracranial volume change by phase-contrast MRI.

Authors:  Rong-Wen Tain; Birgit Ertl-Wagner; Noam Alperin
Journal:  J Magn Reson Imaging       Date:  2009-10       Impact factor: 4.813

9.  Inter- and intra-rater reliability of blood and cerebrospinal fluid flow quantification by phase-contrast MRI.

Authors:  Inga Koerte; Caroline Haberl; Michael Schmidt; Andreas Pomschar; Sang Lee; Petra Rapp; Denise Steffinger; Rong-Wen Tain; Noam Alperin; Birgit Ertl-Wagner
Journal:  J Magn Reson Imaging       Date:  2013-01-31       Impact factor: 4.813

10.  Optimum fuzzy filters for phase-contrast magnetic resonance imaging segmentation.

Authors:  Kartik S Sundareswaran; David H Frakes; Mark A Fogel; Dennis D Soerensen; John N Oshinski; Ajit P Yoganathan
Journal:  J Magn Reson Imaging       Date:  2009-01       Impact factor: 4.813

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