NDLI: Comparative reliability analysis of publicly available software packages for automatic intracranial volume estimation

Content Provider	IEEE Xplore Digital Library
Author	Sargolzaei, S. Goryawala, M. Cabrerizo, M. Chen, G. Jayakar, P. Duara, R. Barker, W. Adjouadi, M.
Copyright Year	2014
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Florida Int. Univ., Miami, FL, USA (Cabrerizo, M.; Adjouadi, M.) \|\| Brain Inst. at Miami Children's Hosp., Miami, FL, USA (Jayakar, P.) \|\| Sci. & Stat. Comput. Core, NIMH/ NIH/ HHS, Bethesda, MD, USA (Chen, G.) \|\| Center for Adv. Technol. & Educ. (CATE), Florida Int. Univ., Miami, FL, USA (Sargolzaei, S.; Goryawala, M.) \|\| Wien Center for Alzheimer's Disease & Memory Disorders, Miami Beach, FL, USA (Duara, R.; Barker, W.)
Abstract	Intracranial volume is an important measure in brain research often used as a correction factor in inter subject studies. The current study investigates the resulting outcome in terms of the type of software used for automatically estimating ICV measure. Five groups of 70 subjects are considered, including adult controls (AC) (n=11), adult with dementia (AD) (n=11), pediatric controls (PC) (n=18) and two groups of pediatric epilepsy subjects (PE1.5 and PE3) (n=30) using 1.5 T and 3T scanners, respectively. Reference measurements were calculated for each subject by manually tracing intracranial cavity without sub-sampling. Four publicly available software packages (AFNI, Freesurfer, FSL, and SPM) were examined in their ability to automatically estimate ICV across the five groups. Linear regression analyses suggest that reference measurement discrepancy could be explained best by SPM $[R^{2}=$ 0.67;p <; 0.01] for the AC group, Freesurfer $[R^{2}$ = 0.46; p = 0.02] for the AD group, AFNI $[R^{2}=0.97;p<;$ 0.01] for the PC group and FSL $[R^{2}$ = 0.6; p = 0.1] for the PE1.5 and $[R^{2}$ = 0.6; p <; 0.01] for PE3 groups. The study demonstrates that the choice of the automated software for ICV estimation is dependent on the population under consideration and whether the software used is atlas-based or not.
Sponsorship	IEEE Eng. Med. Biol. Soc.
Starting Page	2342
Ending Page	2345
File Size	744854
Page Count	4
File Format	PDF
ISBN	9781424479290
ISSN	1557170X
DOI	10.1109/EMBC.2014.6944090
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2014-08-26
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Estimation Reliability Software packages Alzheimer's disease Epilepsy
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

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1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
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3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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