Improved partial volume correction for single inversion time arterial spin labeling data

Journal article


Liang, Xiaoyun, Connelly, Alan and Calamante, Fernando. (2013). Improved partial volume correction for single inversion time arterial spin labeling data. Magnetic Resonance in Medicine. 69(2), pp. 531-537. https://doi.org/10.1002/mrm.24279
AuthorsLiang, Xiaoyun, Connelly, Alan and Calamante, Fernando
Abstract

Arterial spin labeling has relatively low spatial resolution, which affects cerebral blood flow measurements by partial volume effect occurring at tissue interfaces, e.g., between gray matter, white matter, and cerebrospinal fluid. This can be an important source of cerebral blood flow quantification error. To correct for partial volume effect in arterial spin labeling, a linear regression method was recently proposed. Because this method assumes that tissue magnetization and cerebral blood flow are constant over an n2 × 1 regression kernel, an inherent spatial blurring is introduced. In this study, a modified least trimmed squares algorithm is proposed for partial volume effect correction. It is demonstrated using simulations that the modified least trimmed square method can correct for partial volume effect and produce less blurring than the linear regression method. This is achieved without either acquiring additional datasets or increasing the computation burden. These capabilities were further demonstrated in vivo. The modified least trimmed square method should, therefore, play an important role in arterial spin labeling studies. Magn Reson Med, 2013. © 2012 Wiley Periodicals, Inc.

Keywordsarterial spin labeling; perfusion MRI; partial volume correction; linear trimmed squares
Year2013
JournalMagnetic Resonance in Medicine
Journal citation69 (2), pp. 531-537
PublisherJohn Wiley & Sons
ISSN0740-3194
Digital Object Identifier (DOI)https://doi.org/10.1002/mrm.24279
Scopus EID2-s2.0-84872938475
Research or scholarlyResearch
Page range531-537
Publisher's version
License
All rights reserved
File Access Level
Controlled
Output statusPublished
Publication dates
Online23 Apr 2012
Publication process dates
Accepted09 Mar 2012
Deposited27 Apr 2021
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