Cube propagation for focal brain atrophy estimation

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Standard

Cube propagation for focal brain atrophy estimation. / Pai, Akshay Sadananda Uppinakudru; Sørensen, Lauge; Darkner, Sune; Mysling, Peter; Jørgensen, Dan Richter; Dam, Erik B.; Lillholm, Martin; Oh, Joonmi; Chen, Gennan; Suhy, Joyce; Sporring, Jon; Nielsen, Mads.

2013 IEEE 10th International Symposium on Biomedical Imaging. IEEE, 2013. s. 402-405.

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Harvard

Pai, ASU, Sørensen, L, Darkner, S, Mysling, P, Jørgensen, DR, Dam, EB, Lillholm, M, Oh, J, Chen, G, Suhy, J, Sporring, J & Nielsen, M 2013, Cube propagation for focal brain atrophy estimation. i 2013 IEEE 10th International Symposium on Biomedical Imaging. IEEE, s. 402-405, International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, San Francisco, CA, USA, 07/04/2013. https://doi.org/10.1109/ISBI.2013.6556497

APA

Pai, A. S. U., Sørensen, L., Darkner, S., Mysling, P., Jørgensen, D. R., Dam, E. B., ... Nielsen, M. (2013). Cube propagation for focal brain atrophy estimation. I 2013 IEEE 10th International Symposium on Biomedical Imaging (s. 402-405). IEEE. https://doi.org/10.1109/ISBI.2013.6556497

Vancouver

Pai ASU, Sørensen L, Darkner S, Mysling P, Jørgensen DR, Dam EB o.a. Cube propagation for focal brain atrophy estimation. I 2013 IEEE 10th International Symposium on Biomedical Imaging. IEEE. 2013. s. 402-405 https://doi.org/10.1109/ISBI.2013.6556497

Author

Pai, Akshay Sadananda Uppinakudru ; Sørensen, Lauge ; Darkner, Sune ; Mysling, Peter ; Jørgensen, Dan Richter ; Dam, Erik B. ; Lillholm, Martin ; Oh, Joonmi ; Chen, Gennan ; Suhy, Joyce ; Sporring, Jon ; Nielsen, Mads. / Cube propagation for focal brain atrophy estimation. 2013 IEEE 10th International Symposium on Biomedical Imaging. IEEE, 2013. s. 402-405

Bibtex

@inproceedings{dafa33dbb6174a5e9c0fbea73a9f2bd2,
title = "Cube propagation for focal brain atrophy estimation",
abstract = "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.",
author = "Pai, {Akshay Sadananda Uppinakudru} and Lauge S{\o}rensen and Sune Darkner and Peter Mysling and J{\o}rgensen, {Dan Richter} and Dam, {Erik B.} and Martin Lillholm and Joonmi Oh and Gennan Chen and Joyce Suhy and Jon Sporring and Mads Nielsen",
year = "2013",
doi = "10.1109/ISBI.2013.6556497",
language = "English",
isbn = "978-1-4673-6454-6",
pages = "402--405",
booktitle = "2013 IEEE 10th International Symposium on Biomedical Imaging",
publisher = "IEEE",
note = "null ; Conference date: 07-04-2013 Through 11-04-2013",

}

RIS

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

Y2 - 7 April 2013 through 11 April 2013

ER -

ID: 45566067