Cube propagation for focal brain atrophy estimation

TY - GEN

T1 - Cube propagation for focal brain atrophy estimation

AU - Pai, Akshay Sadananda Uppinakudru

AU - Sørensen, Lauge

AU - Darkner, Sune

AU - Mysling, Peter

AU - Jørgensen, Dan Richter

AU - Dam, Erik B.

AU - Lillholm, Martin

AU - Oh, Joonmi

AU - Chen, Gennan

AU - Suhy, Joyce

AU - Sporring, Jon

AU - Nielsen, Mads

N1 - Conference code: 10

PY - 2013

Y1 - 2013

N2 - Precise and robust whole brain, ventricle, and hippocampal atrophy measurements are important as they serve as biomarkers for Alzheimer’s disease. They are used as secondary outcomes in drug trials, and they correlate with the cognitive scores. When two successive scans are non-linearly aligned by registration, the volume change in a region of interest (ROI) is typically computed by Jacobian integration (JI), volumetric meshing (VM), or surface based methods like surface triangulation (ST) or surface flux (SF). JI and VM offer the possibility of a voxel-by-voxel atrophy measure for visualization or localization of atrophy and subsequent summing to an ROI measure of atrophy. ST and SF only offer whole ROI atrophy measures. JI and SF suffer from a lack of precision originating from respectively approximating a space and a time integral by a finite sum. VM suffers from a high computational burden and the ST from the lack of localization. In this paper we present the cube propagation (CP) algorithm having numerical precision as VM, offering the localization as JI and VM, but computational simplicity as the ST and SF. We demonstrate superior numerical precision to the the commonly used JI.

AB - Precise and robust whole brain, ventricle, and hippocampal atrophy measurements are important as they serve as biomarkers for Alzheimer’s disease. They are used as secondary outcomes in drug trials, and they correlate with the cognitive scores. When two successive scans are non-linearly aligned by registration, the volume change in a region of interest (ROI) is typically computed by Jacobian integration (JI), volumetric meshing (VM), or surface based methods like surface triangulation (ST) or surface flux (SF). JI and VM offer the possibility of a voxel-by-voxel atrophy measure for visualization or localization of atrophy and subsequent summing to an ROI measure of atrophy. ST and SF only offer whole ROI atrophy measures. JI and SF suffer from a lack of precision originating from respectively approximating a space and a time integral by a finite sum. VM suffers from a high computational burden and the ST from the lack of localization. In this paper we present the cube propagation (CP) algorithm having numerical precision as VM, offering the localization as JI and VM, but computational simplicity as the ST and SF. We demonstrate superior numerical precision to the the commonly used JI.

U2 - 10.1109/ISBI.2013.6556497

DO - 10.1109/ISBI.2013.6556497

M3 - Article in proceedings

SN - 978-1-4673-6454-6

SP - 402

EP - 405

BT - 2013 IEEE 10th International Symposium on Biomedical Imaging

PB - IEEE

T2 - International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013

Y2 - 7 April 2013 through 11 April 2013

ER -