Abstract
The Alzheimer's Disease Neuroimaging Initiative (phase 3; ADNI3) is collecting multisite diffusion MRI (dMRI) data using protocols optimized for different scanner vendors, including one multi-shell protocol, to better understand disease effects. Here, we analyzed multi-shell scans from 56 ADNI3 participants (age: 74.3 \pm 7.5 yrs; 17F/49M). We evaluated whether multi-shell dMRI measures computed from neurite orientation dispersion and density imaging (NODDI) and diffusion kurtosis imaging (DKI) differentiated people with mild cognitive impairment from healthy controls with higher sensitivity than standard diffusion tensor imaging (DTI) measures. We also assessed the effects of various multi-shell derived dMRI samples on the sensitivity of DTI measures. While we did not identify large differences in effect sizes among tensor-based, NODDI, or DKI measures, we did detect greater effect sizes from DTI measures estimated using multi-shell data converted to single-shell HARDI compared to those fit using the subset of 48 b=1000s /mm -{2} volumes, typical of DTI.
| Original language | English (US) |
|---|---|
| Title of host publication | ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging |
| Publisher | IEEE Computer Society |
| Pages | 173-177 |
| Number of pages | 5 |
| ISBN (Electronic) | 9781538636411 |
| DOIs | |
| State | Published - Apr 2019 |
| Event | 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 - Venice, Italy Duration: Apr 8 2019 → Apr 11 2019 |
Publication series
| Name | Proceedings - International Symposium on Biomedical Imaging |
|---|---|
| Volume | 2019-April |
| ISSN (Print) | 1945-7928 |
| ISSN (Electronic) | 1945-8452 |
Conference
| Conference | 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 |
|---|---|
| Country | Italy |
| City | Venice |
| Period | 4/8/19 → 4/11/19 |
Fingerprint
Keywords
- ADNI3
- DKI
- DTI
- Multi-shell
- NODDI
ASJC Scopus subject areas
- Biomedical Engineering
- Radiology Nuclear Medicine and imaging
Cite this
Multi-shell diffusion MRI measures of brain aging : A preliminary comparison from ADNI3. / Nir, Talia M.; Thomopoulos, Sophia I.; Villalon-Reina, Julio E.; Zavaliangos-Petropulu, Artemis; Dennis, Emily L.; Reid, Robert I.; Bernstein, Matt A.; Borowski, Bret; Jack, Clifford R.; Weiner, Michael W.; Jahanshad, Neda; Thompson, Paul M.
ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, 2019. p. 173-177 8759486 (Proceedings - International Symposium on Biomedical Imaging; Vol. 2019-April).Research output: Chapter in Book/Report/Conference proceeding › Conference contribution
}
TY - GEN
T1 - Multi-shell diffusion MRI measures of brain aging
T2 - A preliminary comparison from ADNI3
AU - Nir, Talia M.
AU - Thomopoulos, Sophia I.
AU - Villalon-Reina, Julio E.
AU - Zavaliangos-Petropulu, Artemis
AU - Dennis, Emily L.
AU - Reid, Robert I.
AU - Bernstein, Matt A.
AU - Borowski, Bret
AU - Jack, Clifford R.
AU - Weiner, Michael W.
AU - Jahanshad, Neda
AU - Thompson, Paul M.
PY - 2019/4
Y1 - 2019/4
N2 - The Alzheimer's Disease Neuroimaging Initiative (phase 3; ADNI3) is collecting multisite diffusion MRI (dMRI) data using protocols optimized for different scanner vendors, including one multi-shell protocol, to better understand disease effects. Here, we analyzed multi-shell scans from 56 ADNI3 participants (age: 74.3 \pm 7.5 yrs; 17F/49M). We evaluated whether multi-shell dMRI measures computed from neurite orientation dispersion and density imaging (NODDI) and diffusion kurtosis imaging (DKI) differentiated people with mild cognitive impairment from healthy controls with higher sensitivity than standard diffusion tensor imaging (DTI) measures. We also assessed the effects of various multi-shell derived dMRI samples on the sensitivity of DTI measures. While we did not identify large differences in effect sizes among tensor-based, NODDI, or DKI measures, we did detect greater effect sizes from DTI measures estimated using multi-shell data converted to single-shell HARDI compared to those fit using the subset of 48 b=1000s /mm -{2} volumes, typical of DTI.
AB - The Alzheimer's Disease Neuroimaging Initiative (phase 3; ADNI3) is collecting multisite diffusion MRI (dMRI) data using protocols optimized for different scanner vendors, including one multi-shell protocol, to better understand disease effects. Here, we analyzed multi-shell scans from 56 ADNI3 participants (age: 74.3 \pm 7.5 yrs; 17F/49M). We evaluated whether multi-shell dMRI measures computed from neurite orientation dispersion and density imaging (NODDI) and diffusion kurtosis imaging (DKI) differentiated people with mild cognitive impairment from healthy controls with higher sensitivity than standard diffusion tensor imaging (DTI) measures. We also assessed the effects of various multi-shell derived dMRI samples on the sensitivity of DTI measures. While we did not identify large differences in effect sizes among tensor-based, NODDI, or DKI measures, we did detect greater effect sizes from DTI measures estimated using multi-shell data converted to single-shell HARDI compared to those fit using the subset of 48 b=1000s /mm -{2} volumes, typical of DTI.
KW - ADNI3
KW - DKI
KW - DTI
KW - Multi-shell
KW - NODDI
UR - http://www.scopus.com/inward/record.url?scp=85073911676&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=85073911676&partnerID=8YFLogxK
U2 - 10.1109/ISBI.2019.8759486
DO - 10.1109/ISBI.2019.8759486
M3 - Conference contribution
AN - SCOPUS:85073911676
T3 - Proceedings - International Symposium on Biomedical Imaging
SP - 173
EP - 177
BT - ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging
PB - IEEE Computer Society
ER -