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Improved partial volume correction for single inversion time arterial spin labeling data
Liang, Xiaoyun Connelly, Alan Calamante, Fernando
Liang, Xiaoyun
Connelly, Alan
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.
Keywords
arterial spin labeling, perfusion MRI, partial volume correction, linear trimmed squares
Date
2013
Type
Journal article
Journal
Magnetic Resonance in Medicine
Book
Volume
69
Issue
2
Page Range
531-537
Article Number
ACU Department
Mary MacKillop Institute for Health Research
Faculty of Health Sciences
Faculty of Health Sciences
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Relation URI
Source URL
Event URL
Open Access Status
License
All rights reserved
File Access
Controlled