Determination of optimum combination of voxel size and b-value for brain diffusion tensor imaging

Optimum combination of voxel size resolution and b-value for whole brain imaging has been determined. Data images were acquired using a 1.5T magnetic resonance imaging (MRI) system (GE Signa HDxt). Diffusion tensor imaging (DTI) scan was performed on phantom and a human volunteer. Six protocols whic...

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Main Authors: Nur Hartini Mohd Taib, Wan Ahmad Kamil Wan Abdullah, Ibrahim Lutfi Shuaib, Enrico Magosso, Suzana Mat Isa
Format: Article
Language:English
Published: Penerbit Universiti Kebangsaan Malaysia 2017
Online Access:http://journalarticle.ukm.my/10594/1/09%20Nur%20Hartini.pdf
http://journalarticle.ukm.my/10594/
http://www.ukm.my/jsm/english_journals/vol46num1_2017/contentsVol46num1_2017.html
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Institution: Universiti Kebangsaan Malaysia
Language: English
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spelling my-ukm.journal.105942017-08-22T01:19:42Z http://journalarticle.ukm.my/10594/ Determination of optimum combination of voxel size and b-value for brain diffusion tensor imaging Nur Hartini Mohd Taib, Wan Ahmad Kamil Wan Abdullah, Ibrahim Lutfi Shuaib, Enrico Magosso, Suzana Mat Isa, Optimum combination of voxel size resolution and b-value for whole brain imaging has been determined. Data images were acquired using a 1.5T magnetic resonance imaging (MRI) system (GE Signa HDxt). Diffusion tensor imaging (DTI) scan was performed on phantom and a human volunteer. Six protocols which consist of various combination of voxel size and b-value were evaluated. Measurement of signal-to-noise ratio (SNR) and DTI parameter indices were carried out for both phantom and in-vivo studies. Due consideration was given to a combination of parameters yielding sufficient SNR with DTI values comparable to those obtained from previous reported studies. For the phantom study, SNR ≥ 20 was found in all of the protocols except for a combination of voxel size of 2.0 × 2.0 × 2.0 mm3 with b-value of 1200 s/mm2 (V2.0 B1200) and that of voxel size of 2.0 × 2.0 × 2.0 mm3 with b-value of 1000 s/mm2 (V2.0 B1000). For in-vivo study, all protocols presented SNR > 20. It was found that a combination of voxel size of 2.5 × 2.5 × 2.5 mm3 with b-value of 1000 s/mm2 (V2.5 B1000) and that of voxel size of 2.5 × 2.5 × 2.5 mm3 with b-value of 700 s/mm2 (V2.5 B700) displayed the most comparable ADC and FA values with references. In terms of anatomic coverage, V2.5 B700 was found better than V2.5 B1000 as it assures coverage of the whole brain. In conclusion, a combination of voxel size of 2.5 × 2.5 × 2.5 mm3 with b-value of 700 s/mm2 was considered as optimum parameters for brain DTI. Penerbit Universiti Kebangsaan Malaysia 2017-01 Article PeerReviewed application/pdf en http://journalarticle.ukm.my/10594/1/09%20Nur%20Hartini.pdf Nur Hartini Mohd Taib, and Wan Ahmad Kamil Wan Abdullah, and Ibrahim Lutfi Shuaib, and Enrico Magosso, and Suzana Mat Isa, (2017) Determination of optimum combination of voxel size and b-value for brain diffusion tensor imaging. Sains Malaysiana, 46 (1). pp. 67-74. ISSN 0126-6039 http://www.ukm.my/jsm/english_journals/vol46num1_2017/contentsVol46num1_2017.html
institution Universiti Kebangsaan Malaysia
building Perpustakaan Tun Sri Lanang Library
collection Institutional Repository
continent Asia
country Malaysia
content_provider Universiti Kebangsaan Malaysia
content_source UKM Journal Article Repository
url_provider http://journalarticle.ukm.my/
language English
description Optimum combination of voxel size resolution and b-value for whole brain imaging has been determined. Data images were acquired using a 1.5T magnetic resonance imaging (MRI) system (GE Signa HDxt). Diffusion tensor imaging (DTI) scan was performed on phantom and a human volunteer. Six protocols which consist of various combination of voxel size and b-value were evaluated. Measurement of signal-to-noise ratio (SNR) and DTI parameter indices were carried out for both phantom and in-vivo studies. Due consideration was given to a combination of parameters yielding sufficient SNR with DTI values comparable to those obtained from previous reported studies. For the phantom study, SNR ≥ 20 was found in all of the protocols except for a combination of voxel size of 2.0 × 2.0 × 2.0 mm3 with b-value of 1200 s/mm2 (V2.0 B1200) and that of voxel size of 2.0 × 2.0 × 2.0 mm3 with b-value of 1000 s/mm2 (V2.0 B1000). For in-vivo study, all protocols presented SNR > 20. It was found that a combination of voxel size of 2.5 × 2.5 × 2.5 mm3 with b-value of 1000 s/mm2 (V2.5 B1000) and that of voxel size of 2.5 × 2.5 × 2.5 mm3 with b-value of 700 s/mm2 (V2.5 B700) displayed the most comparable ADC and FA values with references. In terms of anatomic coverage, V2.5 B700 was found better than V2.5 B1000 as it assures coverage of the whole brain. In conclusion, a combination of voxel size of 2.5 × 2.5 × 2.5 mm3 with b-value of 700 s/mm2 was considered as optimum parameters for brain DTI.
format Article
author Nur Hartini Mohd Taib,
Wan Ahmad Kamil Wan Abdullah,
Ibrahim Lutfi Shuaib,
Enrico Magosso,
Suzana Mat Isa,
spellingShingle Nur Hartini Mohd Taib,
Wan Ahmad Kamil Wan Abdullah,
Ibrahim Lutfi Shuaib,
Enrico Magosso,
Suzana Mat Isa,
Determination of optimum combination of voxel size and b-value for brain diffusion tensor imaging
author_facet Nur Hartini Mohd Taib,
Wan Ahmad Kamil Wan Abdullah,
Ibrahim Lutfi Shuaib,
Enrico Magosso,
Suzana Mat Isa,
author_sort Nur Hartini Mohd Taib,
title Determination of optimum combination of voxel size and b-value for brain diffusion tensor imaging
title_short Determination of optimum combination of voxel size and b-value for brain diffusion tensor imaging
title_full Determination of optimum combination of voxel size and b-value for brain diffusion tensor imaging
title_fullStr Determination of optimum combination of voxel size and b-value for brain diffusion tensor imaging
title_full_unstemmed Determination of optimum combination of voxel size and b-value for brain diffusion tensor imaging
title_sort determination of optimum combination of voxel size and b-value for brain diffusion tensor imaging
publisher Penerbit Universiti Kebangsaan Malaysia
publishDate 2017
url http://journalarticle.ukm.my/10594/1/09%20Nur%20Hartini.pdf
http://journalarticle.ukm.my/10594/
http://www.ukm.my/jsm/english_journals/vol46num1_2017/contentsVol46num1_2017.html
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