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New criterion to aid manual and automatic selection of the arterial input function in dynamic susceptibility contrast MRI

Dynamic susceptibility contrast‐MRI requires an arterial input function (AIF) to obtain cerebral blood flow, cerebral blood volume, and mean transit time. The current AIF selection criteria discriminate venous, capillary, and arterial profiles based on shape and timing characteristics of the first p... Full description

Journal Title: Magnetic Resonance in Medicine February 2011, Vol.65(2), pp.448-456
Main Author: Bleeker, Egbert J. W.
Other Authors: Van Osch, Matthias J. P. , Connelly, Alan , Van Buchem, Mark A. , Webb, Andrew G. , Calamante, Fernando
Format: Electronic Article Electronic Article
Language: English
Subjects:
ID: ISSN: 0740-3194 ; E-ISSN: 1522-2594 ; DOI: 10.1002/mrm.22599
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recordid: wj10.1002/mrm.22599
title: New criterion to aid manual and automatic selection of the arterial input function in dynamic susceptibility contrast MRI
format: Article
creator:
  • Bleeker, Egbert J. W.
  • Van Osch, Matthias J. P.
  • Connelly, Alan
  • Van Buchem, Mark A.
  • Webb, Andrew G.
  • Calamante, Fernando
subjects:
  • Dynamic Susceptibility Contrast‐Mri
  • Arterial Input Function Aif
  • Aif Selection Criterion
  • Partial Volume Effects
  • Automatic Aif Selection
ispartof: Magnetic Resonance in Medicine, February 2011, Vol.65(2), pp.448-456
description: Dynamic susceptibility contrast‐MRI requires an arterial input function (AIF) to obtain cerebral blood flow, cerebral blood volume, and mean transit time. The current AIF selection criteria discriminate venous, capillary, and arterial profiles based on shape and timing characteristics of the first passage. Unfortunately, partial volume effects can lead to shape errors in the bolus passage, including a narrower and higher peak, which might be selected as a “correct” AIF. In this study, a new criterion is proposed that detects shape errors based on tracer kinetic principles for computing cerebral blood volume. This criterion uses the ratio of the steady‐state value to the area‐under‐the‐curve of the first passage, which should result in an equal value for tissue and arterial responses. By using a reference value from tissue, partial volume effects–induced shape errors of the AIF measurement can be detected. Different factors affecting the ratio were investigated using simulations. These showed that the new criterion should only be used in studies with ‐insensitive acquisition. In vivo data were used to evaluate the proposed approach. The data showed that the new criterion enables detection of shape errors, although false positives do occur, which could be easily avoided when combined with current AIF selection criteria. Magn Reson Med, 2011. © 2010 Wiley‐Liss, Inc.
language: eng
source:
identifier: ISSN: 0740-3194 ; E-ISSN: 1522-2594 ; DOI: 10.1002/mrm.22599
fulltext: fulltext
issn:
  • 0740-3194
  • 07403194
  • 1522-2594
  • 15222594
url: Link


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titleNew criterion to aid manual and automatic selection of the arterial input function in dynamic susceptibility contrast MRI
creatorBleeker, Egbert J. W. ; Van Osch, Matthias J. P. ; Connelly, Alan ; Van Buchem, Mark A. ; Webb, Andrew G. ; Calamante, Fernando
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subjectDynamic Susceptibility Contrast‐Mri ; Arterial Input Function Aif ; Aif Selection Criterion ; Partial Volume Effects ; Automatic Aif Selection
descriptionDynamic susceptibility contrast‐MRI requires an arterial input function (AIF) to obtain cerebral blood flow, cerebral blood volume, and mean transit time. The current AIF selection criteria discriminate venous, capillary, and arterial profiles based on shape and timing characteristics of the first passage. Unfortunately, partial volume effects can lead to shape errors in the bolus passage, including a narrower and higher peak, which might be selected as a “correct” AIF. In this study, a new criterion is proposed that detects shape errors based on tracer kinetic principles for computing cerebral blood volume. This criterion uses the ratio of the steady‐state value to the area‐under‐the‐curve of the first passage, which should result in an equal value for tissue and arterial responses. By using a reference value from tissue, partial volume effects–induced shape errors of the AIF measurement can be detected. Different factors affecting the ratio were investigated using simulations. These showed that the new criterion should only be used in studies with ‐insensitive acquisition. In vivo data were used to evaluate the proposed approach. The data showed that the new criterion enables detection of shape errors, although false positives do occur, which could be easily avoided when combined with current AIF selection criteria. Magn Reson Med, 2011. © 2010 Wiley‐Liss, Inc.
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abstractDynamic susceptibility contrast‐MRI requires an arterial input function (AIF) to obtain cerebral blood flow, cerebral blood volume, and mean transit time. The current AIF selection criteria discriminate venous, capillary, and arterial profiles based on shape and timing characteristics of the first passage. Unfortunately, partial volume effects can lead to shape errors in the bolus passage, including a narrower and higher peak, which might be selected as a “correct” AIF. In this study, a new criterion is proposed that detects shape errors based on tracer kinetic principles for computing cerebral blood volume. This criterion uses the ratio of the steady‐state value to the area‐under‐the‐curve of the first passage, which should result in an equal value for tissue and arterial responses. By using a reference value from tissue, partial volume effects–induced shape errors of the AIF measurement can be detected. Different factors affecting the ratio were investigated using simulations. These showed that the new criterion should only be used in studies with ‐insensitive acquisition. In vivo data were used to evaluate the proposed approach. The data showed that the new criterion enables detection of shape errors, although false positives do occur, which could be easily avoided when combined with current AIF selection criteria. Magn Reson Med, 2011. © 2010 Wiley‐Liss, Inc.
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pages448-456
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