Improvements in the Quantitative Assessment of Cerebral Blood Volume and Flow with the Removal of Vessel Voxels from MR Perfusion Images

Objective. To improve the quantitative assessment of cerebral blood volume (CBV) and flow (CBF) in the brain voxels from MR perfusion images. Materials and Methods. Normal brain parenchyma was automatically segmented with the time-to-peak criteria after cerebrospinal fluid removal and preliminary ve...

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Main Authors: Michael Mu Huo Teng, I-Chieh Cho, Yi-Hsuan Kao, Chi-Shuo Chuang, Fang-Ying Chiu, Feng-Chi Chang
Format: Article
Language:English
Published: Hindawi Limited 2013-01-01
Series:BioMed Research International
Online Access:http://dx.doi.org/10.1155/2013/382027
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spelling doaj-36c1160bcd214af5a4b80056def34a1f2020-11-25T01:05:11ZengHindawi LimitedBioMed Research International2314-61332314-61412013-01-01201310.1155/2013/382027382027Improvements in the Quantitative Assessment of Cerebral Blood Volume and Flow with the Removal of Vessel Voxels from MR Perfusion ImagesMichael Mu Huo Teng0I-Chieh Cho1Yi-Hsuan Kao2Chi-Shuo Chuang3Fang-Ying Chiu4Feng-Chi Chang5School of Medicine, National Yang Ming University, Taipei 112, TaiwanDepartment of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, No. 155, Section 2, Li-Nong Street, Bei-Tou, Taipei 112, TaiwanDepartment of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, No. 155, Section 2, Li-Nong Street, Bei-Tou, Taipei 112, TaiwanDepartment of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, No. 155, Section 2, Li-Nong Street, Bei-Tou, Taipei 112, TaiwanDepartment of Biomedical Imaging and Radiological Sciences, National Yang-Ming University, No. 155, Section 2, Li-Nong Street, Bei-Tou, Taipei 112, TaiwanDepartment of Radiology, Taipei Veterans General Hospital, Taipei 112, TaiwanObjective. To improve the quantitative assessment of cerebral blood volume (CBV) and flow (CBF) in the brain voxels from MR perfusion images. Materials and Methods. Normal brain parenchyma was automatically segmented with the time-to-peak criteria after cerebrospinal fluid removal and preliminary vessel voxel removal. Two scaling factors were calculated by comparing the relative CBV and CBF of the segmented normal brain parenchyma with the absolute values in the literature. Using the scaling factors, the relative values were converted to the absolute CBV and CBF. Voxels with either CBV > 8 mL/100 g or CBF > 100 mL/100 g/min were characterized as vessel voxels and were excluded from the quantitative measurements. Results. The segmented brain parenchyma with normal perfusion was consistent with the angiographic findings for each patient. We confirmed the necessity of dual thresholds including CBF and CBV for proper removal of vessel voxels. The scaling factors were 0.208 ± 0.041 for CBV, and 0.168 ± 0.037, 0.172 ± 0.037 for CBF calculated using standard and circulant singular value decomposition techniques, respectively. Conclusion. The automatic scaling and vessel removal techniques provide an alternative method for obtaining improved quantitative assessment of CBV and CBF in patients with thromboembolic cerebral arterial disease.http://dx.doi.org/10.1155/2013/382027
collection DOAJ
language English
format Article
sources DOAJ
author Michael Mu Huo Teng
I-Chieh Cho
Yi-Hsuan Kao
Chi-Shuo Chuang
Fang-Ying Chiu
Feng-Chi Chang
spellingShingle Michael Mu Huo Teng
I-Chieh Cho
Yi-Hsuan Kao
Chi-Shuo Chuang
Fang-Ying Chiu
Feng-Chi Chang
Improvements in the Quantitative Assessment of Cerebral Blood Volume and Flow with the Removal of Vessel Voxels from MR Perfusion Images
BioMed Research International
author_facet Michael Mu Huo Teng
I-Chieh Cho
Yi-Hsuan Kao
Chi-Shuo Chuang
Fang-Ying Chiu
Feng-Chi Chang
author_sort Michael Mu Huo Teng
title Improvements in the Quantitative Assessment of Cerebral Blood Volume and Flow with the Removal of Vessel Voxels from MR Perfusion Images
title_short Improvements in the Quantitative Assessment of Cerebral Blood Volume and Flow with the Removal of Vessel Voxels from MR Perfusion Images
title_full Improvements in the Quantitative Assessment of Cerebral Blood Volume and Flow with the Removal of Vessel Voxels from MR Perfusion Images
title_fullStr Improvements in the Quantitative Assessment of Cerebral Blood Volume and Flow with the Removal of Vessel Voxels from MR Perfusion Images
title_full_unstemmed Improvements in the Quantitative Assessment of Cerebral Blood Volume and Flow with the Removal of Vessel Voxels from MR Perfusion Images
title_sort improvements in the quantitative assessment of cerebral blood volume and flow with the removal of vessel voxels from mr perfusion images
publisher Hindawi Limited
series BioMed Research International
issn 2314-6133
2314-6141
publishDate 2013-01-01
description Objective. To improve the quantitative assessment of cerebral blood volume (CBV) and flow (CBF) in the brain voxels from MR perfusion images. Materials and Methods. Normal brain parenchyma was automatically segmented with the time-to-peak criteria after cerebrospinal fluid removal and preliminary vessel voxel removal. Two scaling factors were calculated by comparing the relative CBV and CBF of the segmented normal brain parenchyma with the absolute values in the literature. Using the scaling factors, the relative values were converted to the absolute CBV and CBF. Voxels with either CBV > 8 mL/100 g or CBF > 100 mL/100 g/min were characterized as vessel voxels and were excluded from the quantitative measurements. Results. The segmented brain parenchyma with normal perfusion was consistent with the angiographic findings for each patient. We confirmed the necessity of dual thresholds including CBF and CBV for proper removal of vessel voxels. The scaling factors were 0.208 ± 0.041 for CBV, and 0.168 ± 0.037, 0.172 ± 0.037 for CBF calculated using standard and circulant singular value decomposition techniques, respectively. Conclusion. The automatic scaling and vessel removal techniques provide an alternative method for obtaining improved quantitative assessment of CBV and CBF in patients with thromboembolic cerebral arterial disease.
url http://dx.doi.org/10.1155/2013/382027
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