Literature DB >> 13677303

[Manual tracing guideline for volumetry of hippocampus and amygdala with high-resolution MRI].

Yutaka Matsuoka1, Etsuro Mori, Masatoshi Inagaki, Yukiko Kozaki, Tomohito Nakano, Marcus Wenner, Yosuke Uchitomi.   

Abstract

Both the hippocampus and amygdala are frequently targeted by researchers and clinicians for volumetric analysis based on magnetic resonance imaging (MRI). However, different data acquisition, analysis software and anatomical boundaries have in the past made it difficult to compare results of MRI studies from different laboratories. A reliable original segmentation protocol for volumetry of the amygdala and hippocampus on three-dimensional MRI was established by including merits of previous volumetric studies. Two skilled raters measured randomly selected 20 subjects from 242 subjects recently scanned in our institution (mean age 47.6 +/- 6.1 years). Data acquisition was performed with a three-dimensional spoiled gradient echo technique. Volumetric analysis was performed manually using three-dimensional software that allowed coronal, sagittal, and transverse images at any time. Both intra- and inter-rater reliability (intraclass correlation coefficients) yielded 0.99 for the hippocampus and 0.98 for the amygdala. It was confirmed that this segmentation protocol was highly reliable.

Mesh:

Year:  2003        PMID: 13677303

Source DB:  PubMed          Journal:  No To Shinkei        ISSN: 0006-8969


  5 in total

1.  A reliable protocol for the manual segmentation of the human amygdala and its subregions using ultra-high resolution MRI.

Authors:  Jonathan J Entis; Priya Doerga; Lisa Feldman Barrett; Bradford C Dickerson
Journal:  Neuroimage       Date:  2012-01-05       Impact factor: 6.556

2.  Amygdala subnuclei and healthy cognitive aging.

Authors:  Arash Aghamohammadi-Sereshki; Stanislau Hrybouski; Scott Travis; Yushan Huang; Fraser Olsen; Rawle Carter; Richard Camicioli; Nikolai V Malykhin
Journal:  Hum Brain Mapp       Date:  2018-10-06       Impact factor: 5.038

3.  Hippocampus and amygdala volumes from magnetic resonance images in children: Assessing accuracy of FreeSurfer and FSL against manual segmentation.

Authors:  Dorothee Schoemaker; Claudia Buss; Kevin Head; Curt A Sandman; Elysia P Davis; M Mallar Chakravarty; Serge Gauthier; Jens C Pruessner
Journal:  Neuroimage       Date:  2016-01-26       Impact factor: 6.556

4.  Correlation between hippocampal volumes and medial temporal lobe atrophy in patients with Alzheimer's disease.

Authors:  Vikas Dhikav; Sharmila Duraiswamy; Kuljeet Singh Anand
Journal:  Ann Indian Acad Neurol       Date:  2017 Jan-Mar       Impact factor: 1.383

5.  Hippocampal volumes among older Indian adults: Comparison with Alzheimer's disease and mild cognitive impairment.

Authors:  Vikas Dhikav; Sharmila Duraisamy; Kuljeet Singh Anand; Umesh Chandra Garga
Journal:  Ann Indian Acad Neurol       Date:  2016 Apr-Jun       Impact factor: 1.383

  5 in total

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