TY - GEN
T1 - Extended boundary shift integral
AU - Lötjönen, Jyrki
AU - Ledig, Christian
AU - Koikkalainen, Juha
AU - Wolz, Robin
AU - Thurfjell, Lennart
AU - Soininen, Hilkka
AU - Ourselin, Sébastien
AU - Rueckert, Daniel
N1 - Publisher Copyright:
© 2014 IEEE.
PY - 2014/7/29
Y1 - 2014/7/29
N2 - The boundary shift integral (BSI) is a widely used method for measuring atrophy rate, dynamic changes of the gray-matter and cerebrospinal fluid boundaries in magnetic resonance images. BSI is based on intensity differences on this boundary region. This work extends the method in two respects: 1) Instead of using only intensity information on the boundary region, a probabilistic approach is proposed in which also other characteristics of the boundary region can be used. 2) The use of the probabilistic model enables to measure changes between any structures or combination of structures in the image. The performance of the extended BSI is verified against standard BSI in the ADNI and AIBL cohorts. The area-under-the-curve is clearly above 90 % in both cohorts when comparing the classification between cognitively normal and Alzheimer's disease groups. The accuracies of the extended BSI were higher than the standard BSI between these groups.
AB - The boundary shift integral (BSI) is a widely used method for measuring atrophy rate, dynamic changes of the gray-matter and cerebrospinal fluid boundaries in magnetic resonance images. BSI is based on intensity differences on this boundary region. This work extends the method in two respects: 1) Instead of using only intensity information on the boundary region, a probabilistic approach is proposed in which also other characteristics of the boundary region can be used. 2) The use of the probabilistic model enables to measure changes between any structures or combination of structures in the image. The performance of the extended BSI is verified against standard BSI in the ADNI and AIBL cohorts. The area-under-the-curve is clearly above 90 % in both cohorts when comparing the classification between cognitively normal and Alzheimer's disease groups. The accuracies of the extended BSI were higher than the standard BSI between these groups.
KW - Atrophy rate
KW - Boundary shift integral
UR - http://www.scopus.com/inward/record.url?scp=84927921822&partnerID=8YFLogxK
U2 - 10.1109/isbi.2014.6868005
DO - 10.1109/isbi.2014.6868005
M3 - Conference contribution
AN - SCOPUS:84927921822
T3 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
SP - 854
EP - 857
BT - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2014 IEEE 11th International Symposium on Biomedical Imaging, ISBI 2014
Y2 - 29 April 2014 through 2 May 2014
ER -