Literature DB >> 18096408

SENSE factors for reliable cortical thickness measurement.

Hae-Jeong Park1, Tak Youn, Seok-Oh Jeong, Maeng-Keun Oh, Sei-Young Kim, Eung-Yeop Kim.   

Abstract

The purposes of this study were to examine the effect of sensitivity encoding (SENSE) factors on cortical thickness measurements and to determine which SENSE factor to use to reliably measure cortical thickness in 3.0 T and 1.5 T T1-weighted MRI images. The 3D T1-TFE images were acquired from 11 healthy volunteers with 6 different SENSE acceleration factors from 1.0 (without SENSE acceleration) to 4.0 on a 1.5 T scanner, and 9 different SENSE factors from 1.0 to 6.0, plus a second-day 1.0 acquisition on a 3.0 T scanner. Cortical thickness was calculated for the entire cortical surface that was further subdivided into 33 regions. Repeated measures multivariate analysis of variance revealed that the main effect of SENSE factors (F=12.485, df=7, p=0.006) was a significant underestimation of cortical thickness at SENSE 5.0 (p=0.022) and 6.0 (p=0.011) at 3.0 T and at SENSE 4.0 (p<0.000) at 1.5 T. Repeated measures ANOVA showed that thickness measurements at the insula, superior temporal sulcus, the medial part of the superior frontal lobe, and cingulate cortex are highly affected by SENSE factors. SENSE factors affect thickness estimation more significantly at 1.5 T and thus 1.5 T imaging provides less reliable estimates using SENSE techniques. Faster imaging can be done without too much loss of reliability using a high SENSE factor, such as 3.0, at 3.0 T with acquisition time being inversely proportional to the SENSE factor.

Mesh:

Year:  2007        PMID: 18096408     DOI: 10.1016/j.neuroimage.2007.11.013

Source DB:  PubMed          Journal:  Neuroimage        ISSN: 1053-8119            Impact factor:   6.556


  4 in total

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Authors:  Xin Wang; Mischka Gerken; Michael Dennis; Richard Mooney; John Kane; Sadik Khuder; Hong Xie; William Bauer; A Vania Apkarian; John Wall
Journal:  Cereb Cortex       Date:  2009-10-13       Impact factor: 5.357

2.  Reliability of MRI-derived cortical and subcortical morphometric measures: effects of pulse sequence, voxel geometry, and parallel imaging.

Authors:  J S Wonderlick; D A Ziegler; P Hosseini-Varnamkhasti; J J Locascio; A Bakkour; A van der Kouwe; C Triantafyllou; S Corkin; B C Dickerson
Journal:  Neuroimage       Date:  2008-11-07       Impact factor: 6.556

3.  Shape Deformation in the Brainstem of Medication-Naïve Female Patients with Major Depressive Disorder.

Authors:  Kwan Woo Choi; Soonwook Kwon; Sung-Bom Pyun; Woo-Suk Tae
Journal:  Psychiatry Investig       Date:  2020-05-15       Impact factor: 2.505

4.  Cortical Thickness in Migraine: A Coordinate-Based Meta-Analysis.

Authors:  LiQin Sheng; HaiRong Ma; YuanYuan Shi; ZhenYu Dai; JianGuo Zhong; Fei Chen; PingLei Pan
Journal:  Front Neurosci       Date:  2021-01-06       Impact factor: 4.677

  4 in total

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