Literature DB >> 8750317

MRI-based hippocampal volumetrics: data acquisition, normal ranges, and optimal protocol.

C R Jack1, W H Theodore, M Cook, G McCarthy.   

Abstract

The process of producing magnetic resonance (MR) volume measurements can be divided into considerations of acquisition and postprocessing of the MR data. With careful attention to both of these, precise and reproducible measurements can be achieved. A statistical description of hippocampal measurements in normal volunteers must be available for comparison if volumetrics are employed either for clinical or research purposes. A wide range in "normal" hippocampal volume is present in the studies of normal young adults that have been reported to date. This variability is most probably due to interinstitutional differences in hippocampal boundary criteria, and in the software employed for counting pixels in a defined region of interest (ROI). Because the numeric output from the volume measurement procedure is highly technique-dependent, the statistical description of "normal" should be determined or calibrated at each institution wishing to use these techniques.

Mesh:

Year:  1995        PMID: 8750317     DOI: 10.1016/0730-725x(95)02013-j

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  37 in total

1.  Amygdalar and hippocampal volumetry in control participants: differences regarding handedness.

Authors:  C A Szabo; J Xiong; J L Lancaster; L Rainey; P Fox
Journal:  AJNR Am J Neuroradiol       Date:  2001-08       Impact factor: 3.825

2.  Reliability and validity of MRI-based automated volumetry software relative to auto-assisted manual measurement of subcortical structures in HIV-infected patients from a multisite study.

Authors:  Jeffrey Dewey; George Hana; Troy Russell; Jared Price; Daniel McCaffrey; Jaroslaw Harezlak; Ekta Sem; Joy C Anyanwu; Charles R Guttmann; Bradford Navia; Ronald Cohen; David F Tate
Journal:  Neuroimage       Date:  2010-03-22       Impact factor: 6.556

3.  Atlas-based hippocampus segmentation in Alzheimer's disease and mild cognitive impairment.

Authors:  Owen T Carmichael; Howard A Aizenstein; Simon W Davis; James T Becker; Paul M Thompson; Carolyn Cidis Meltzer; Yanxi Liu
Journal:  Neuroimage       Date:  2005-10-01       Impact factor: 6.556

4.  Comparison of manual tracing versus a semiautomatic radial measurement method in temporal lobe MRI volumetry for pharmacoresistant epilepsy.

Authors:  Christian-Andreas Mueller; Jasmin Scorzin; Roy Koenig; Horst Urbach; Rolf Fimmers; Josef Zentner; Thomas-Nicolas Lehmann; Johannes Schramm
Journal:  Neuroradiology       Date:  2006-11-28       Impact factor: 2.804

Review 5.  Differential aging of the brain: patterns, cognitive correlates and modifiers.

Authors:  Naftali Raz; Karen M Rodrigue
Journal:  Neurosci Biobehav Rev       Date:  2006-08-17       Impact factor: 8.989

6.  Validation of a fully automated hippocampal segmentation method on patients with dementia.

Authors:  Michael J Firbank; Robert Barber; Emma J Burton; John T O'Brien
Journal:  Hum Brain Mapp       Date:  2008-12       Impact factor: 5.038

7.  Using Virtual Reality to Improve Performance and User Experience in Manual Correction of MRI Segmentation Errors by Non-experts.

Authors:  Dominique Duncan; Rachael Garner; Ivan Zrantchev; Tyler Ard; Bradley Newman; Adam Saslow; Emily Wanserski; Arthur W Toga
Journal:  J Digit Imaging       Date:  2019-02       Impact factor: 4.056

8.  Age and gender predict volume decline in the anterior and posterior hippocampus in early adulthood.

Authors:  J C Pruessner; D L Collins; M Pruessner; A C Evans
Journal:  J Neurosci       Date:  2001-01-01       Impact factor: 6.167

9.  Subregional hippocampal atrophy predicts Alzheimer's dementia in the cognitively normal.

Authors:  Liana G Apostolova; Lisa Mosconi; Paul M Thompson; Amity E Green; Kristy S Hwang; Anthony Ramirez; Rachel Mistur; Wai H Tsui; Mony J de Leon
Journal:  Neurobiol Aging       Date:  2008-09-24       Impact factor: 4.673

10.  Improving the reliability of manual and automated methods for hippocampal and amygdala volume measurements.

Authors:  Khader M Hasan; Otto Pedraza
Journal:  Neuroimage       Date:  2009-05-13       Impact factor: 6.556

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