Multi-shell diffusion MRI measures of brain aging: A preliminary comparison from ADNI3

Talia M. Nir, Sophia I. Thomopoulos, Julio E. Villalon-Reina, Artemis Zavaliangos-Petropulu, Emily L. Dennis, Robert I. Reid, Matt A. Bernstein, Bret Borowski, Clifford R. Jack, Michael W. Weiner, Neda Jahanshad, Paul M. Thompson

Research output: Chapter in Book/Report/Conference proceedingConference contribution

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 languageEnglish (US)
Title of host publicationISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging
PublisherIEEE Computer Society
Pages173-177
Number of pages5
ISBN (Electronic)9781538636411
DOIs
StatePublished - Apr 2019
Event16th IEEE International Symposium on Biomedical Imaging, ISBI 2019 - Venice, Italy
Duration: Apr 8 2019Apr 11 2019

Publication series

NameProceedings - International Symposium on Biomedical Imaging
Volume2019-April
ISSN (Print)1945-7928
ISSN (Electronic)1945-8452

Conference

Conference16th IEEE International Symposium on Biomedical Imaging, ISBI 2019
CountryItaly
CityVenice
Period4/8/194/11/19

Fingerprint

Diffusion Magnetic Resonance Imaging
Diffusion Tensor Imaging
Diffusion tensor imaging
Magnetic resonance imaging
Brain
Aging of materials
Neurites
Imaging techniques
Neuroimaging
Alzheimer Disease
Tensors

Keywords

  • ADNI3
  • DKI
  • DTI
  • Multi-shell
  • NODDI

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Nir, T. M., Thomopoulos, S. I., Villalon-Reina, J. E., Zavaliangos-Petropulu, A., Dennis, E. L., Reid, R. I., ... Thompson, P. M. (2019). Multi-shell diffusion MRI measures of brain aging: A preliminary comparison from ADNI3. In ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging (pp. 173-177). [8759486] (Proceedings - International Symposium on Biomedical Imaging; Vol. 2019-April). IEEE Computer Society. https://doi.org/10.1109/ISBI.2019.8759486

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 proceedingConference contribution

Nir, TM, Thomopoulos, SI, Villalon-Reina, JE, Zavaliangos-Petropulu, A, Dennis, EL, Reid, RI, Bernstein, MA, Borowski, B, Jack, CR, Weiner, MW, Jahanshad, N & Thompson, PM 2019, Multi-shell diffusion MRI measures of brain aging: A preliminary comparison from ADNI3. in ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging., 8759486, Proceedings - International Symposium on Biomedical Imaging, vol. 2019-April, IEEE Computer Society, pp. 173-177, 16th IEEE International Symposium on Biomedical Imaging, ISBI 2019, Venice, Italy, 4/8/19. https://doi.org/10.1109/ISBI.2019.8759486
Nir TM, Thomopoulos SI, Villalon-Reina JE, Zavaliangos-Petropulu A, Dennis EL, Reid RI et al. Multi-shell diffusion MRI measures of brain aging: A preliminary comparison from ADNI3. In ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society. 2019. p. 173-177. 8759486. (Proceedings - International Symposium on Biomedical Imaging). https://doi.org/10.1109/ISBI.2019.8759486
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. / Multi-shell diffusion MRI measures of brain aging : A preliminary comparison from ADNI3. ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging. IEEE Computer Society, 2019. pp. 173-177 (Proceedings - International Symposium on Biomedical Imaging).
@inproceedings{9986bda7066e429c914b7fbe8d6ff399,
title = "Multi-shell diffusion MRI measures of brain aging: A preliminary comparison from ADNI3",
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.",
keywords = "ADNI3, DKI, DTI, Multi-shell, NODDI",
author = "Nir, {Talia M.} and Thomopoulos, {Sophia I.} and Villalon-Reina, {Julio E.} and Artemis Zavaliangos-Petropulu and Dennis, {Emily L.} and Reid, {Robert I.} and Bernstein, {Matt A.} and Bret Borowski and Jack, {Clifford R.} and Weiner, {Michael W.} and Neda Jahanshad and Thompson, {Paul M.}",
year = "2019",
month = "4",
doi = "10.1109/ISBI.2019.8759486",
language = "English (US)",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "173--177",
booktitle = "ISBI 2019 - 2019 IEEE International Symposium on Biomedical Imaging",

}

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 -