Literature DB >> 19909820

Quantitative analysis of the hippocampus using images obtained from 7.0 T MRI.

Zang-Hee Cho1, Jae-Yong Han, Seok-Il Hwang, Dae-shik Kim, Kyoung-Nam Kim, Nam-Beom Kim, Seog Ju Kim, Je-Geun Chi, Chan-Woong Park, Young-Bo Kim.   

Abstract

In-vivo volumetric measurements of hippocampus have proven to be highly informative for studying various neurological diseases such as Alzheimer's disease. The usefulness of volumetric imaging, however, has been limited due to the poor image resolutions obtained by currently available MRI images. In this study, a new result of volumetric image measurement of the hippocampus using 7.0 T MRI images of high contrast and resolution is described. To verify the usefulness of the proposed method, its reliability and sensitivity were examined and compared with existing imaging techniques such as 1.5 T or 3.0 T MRI imaging. The results of our study with 7.0 T MRI clearly demonstrated superior boundary detection for the hippocampal head, body, and tail compared with low field MRIs. In conclusion, robust and reproducible volumetric measurements as well as 3D images of clear contrast obtained with 7.0 T suggest the usefulness of high field MR imaging and its eventual use for the accurate diagnosis of hippocampal diseases and related research. Copyright (c) 2009 Elsevier Inc. All rights reserved.

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Year:  2009        PMID: 19909820     DOI: 10.1016/j.neuroimage.2009.11.002

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


  23 in total

1.  In vivo normative atlas of the hippocampal subfields using multi-echo susceptibility imaging at 7 Tesla.

Authors:  Maged Goubran; David A Rudko; Brendan Santyr; Joe Gati; Trevor Szekeres; Terry M Peters; Ali R Khan
Journal:  Hum Brain Mapp       Date:  2013-12-13       Impact factor: 5.038

Review 2.  Studying brain microstructure with magnetic susceptibility contrast at high-field.

Authors:  Jeff H Duyn
Journal:  Neuroimage       Date:  2017-02-24       Impact factor: 6.556

3.  Super-resolution track-density imaging of thalamic substructures: comparison with high-resolution anatomical magnetic resonance imaging at 7.0T.

Authors:  Fernando Calamante; Se-Hong Oh; Jacques-Donald Tournier; Sung-Yeon Park; Young-Don Son; Jun-Young Chung; Je-Geun Chi; Graeme D Jackson; Chan-Woong Park; Young-Bo Kim; Alan Connelly; Zang-Hee Cho
Journal:  Hum Brain Mapp       Date:  2012-11-14       Impact factor: 5.038

Review 4.  Contributions to magnetic susceptibility of brain tissue.

Authors:  Jeff H Duyn; John Schenck
Journal:  NMR Biomed       Date:  2016-05-30       Impact factor: 4.044

5.  Automated volumetry and regional thickness analysis of hippocampal subfields and medial temporal cortical structures in mild cognitive impairment.

Authors:  Paul A Yushkevich; John B Pluta; Hongzhi Wang; Long Xie; Song-Lin Ding; Eske C Gertje; Lauren Mancuso; Daria Kliot; Sandhitsu R Das; David A Wolk
Journal:  Hum Brain Mapp       Date:  2014-09-02       Impact factor: 5.038

6.  Direct visualization of deep brain stimulation targets in Parkinson disease with the use of 7-tesla magnetic resonance imaging.

Authors:  Zang-Hee Cho; Hoon-Ki Min; Se-Hong Oh; Jae-Yong Han; Chan-Woong Park; Je-Geun Chi; Young-Bo Kim; Sun Ha Paek; Andres M Lozano; Kendall H Lee
Journal:  J Neurosurg       Date:  2010-09       Impact factor: 5.115

7.  Hierarchical multi-atlas label fusion with multi-scale feature representation and label-specific patch partition.

Authors:  Guorong Wu; Minjeong Kim; Gerard Sanroma; Qian Wang; Brent C Munsell; Dinggang Shen
Journal:  Neuroimage       Date:  2014-11-20       Impact factor: 6.556

8.  Automatic hippocampus segmentation of 7.0 Tesla MR images by combining multiple atlases and auto-context models.

Authors:  Minjeong Kim; Guorong Wu; Wei Li; Li Wang; Young-Don Son; Zang-Hee Cho; Dinggang Shen
Journal:  Neuroimage       Date:  2013-06-11       Impact factor: 6.556

Review 9.  In-vivo human brain molecular imaging with a brain-dedicated PET/MRI system.

Authors:  Zang Hee Cho; Young Don Son; Eun Jung Choi; Hang Keun Kim; Jeong Hee Kim; Sang Yoon Lee; Seiji Ogawa; Young Bo Kim
Journal:  MAGMA       Date:  2012-08-03       Impact factor: 2.310

10.  Visualization of the amygdalo-hippocampal border and its structural variability by 7T and 3T magnetic resonance imaging.

Authors:  Johanna Derix; Shan Yang; Falk Lüsebrink; Lukas Dominique Josef Fiederer; Andreas Schulze-Bonhage; Ad Aertsen; Oliver Speck; Tonio Ball
Journal:  Hum Brain Mapp       Date:  2014-03-12       Impact factor: 5.038

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