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<sup>2</sup> = 0.67;p < 0.01] for the AC group, Freesurfer [R<sup>2</sup> = 0.46; p = 0.02] for the AD group, AFNI [R<sup>2</sup>=0.97; p < 0.01] for the PC group and FSL [R<sup>2</sup> = 0.6; p = 0.1] for the PE1.5 and [R<sup>2</sup> = 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.
| Original language | English (US) |
|---|---|
| Title of host publication | 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 |
| Publisher | Institute of Electrical and Electronics Engineers Inc. |
| Pages | 2342-2345 |
| Number of pages | 4 |
| ISBN (Print) | 9781424479290 |
| DOIs | |
| State | Published - Nov 2 2014 |
| Externally published | Yes |
| Event | 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 - Chicago, United States Duration: Aug 26 2014 → Aug 30 2014 |
Other
| Other | 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014 |
|---|---|
| Country | United States |
| City | Chicago |
| Period | 8/26/14 → 8/30/14 |
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ASJC Scopus subject areas
- Health Informatics
- Computer Science Applications
- Biomedical Engineering
Cite this
Comparative reliability analysis of publicly available software packages for automatic intracranial volume estimation. / Sargolzaei, S.; Goryawala, M.; Cabrerizo, M.; Chen, G.; Jayakar, P.; Duara, R.; Barker, W.; Adjouadi, M.
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014. Institute of Electrical and Electronics Engineers Inc., 2014. p. 2342-2345 6944090.Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Comparative reliability analysis of publicly available software packages for automatic intracranial volume estimation
AU - Sargolzaei, S.
AU - Goryawala, M.
AU - Cabrerizo, M.
AU - Chen, G.
AU - Jayakar, P.
AU - Duara, R.
AU - Barker, W.
AU - Adjouadi, M.
PY - 2014/11/2
Y1 - 2014/11/2
N2 - 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 [R2 = 0.67;p < 0.01] for the AC group, Freesurfer [R2 = 0.46; p = 0.02] for the AD group, AFNI [R2=0.97; p < 0.01] for the PC group and FSL [R2 = 0.6; p = 0.1] for the PE1.5 and [R2 = 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.
AB - 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 [R2 = 0.67;p < 0.01] for the AC group, Freesurfer [R2 = 0.46; p = 0.02] for the AD group, AFNI [R2=0.97; p < 0.01] for the PC group and FSL [R2 = 0.6; p = 0.1] for the PE1.5 and [R2 = 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.
UR - http://www.scopus.com/inward/record.url?scp=84929492551&partnerID=8YFLogxK
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U2 - 10.1109/EMBC.2014.6944090
DO - 10.1109/EMBC.2014.6944090
M3 - Conference contribution
SN - 9781424479290
SP - 2342
EP - 2345
BT - 2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBC 2014
PB - Institute of Electrical and Electronics Engineers Inc.
ER -