TY - GEN
T1 - Segmentation and mapping of highly convoluted contours with applications to medical images
AU - Davatzikos, Chris A.
AU - Prince, Jerry L.
N1 - Publisher Copyright:
© 1992 IEEE.
PY - 1992
Y1 - 1992
N2 - In this paper we present a method that simultaneously identifies the central layer of the human cortex and maps it onto the interval [0,1] of the real axis. Statistical and geometric information is incorporated into a global variational problem, whose solution is obtained iteratively. The method is evaluated on a set of magnetic resonance (MR) images, acquired with a protocol that optimizes the contrast between the cortical grey matter and the underlying white matter.
AB - In this paper we present a method that simultaneously identifies the central layer of the human cortex and maps it onto the interval [0,1] of the real axis. Statistical and geometric information is incorporated into a global variational problem, whose solution is obtained iteratively. The method is evaluated on a set of magnetic resonance (MR) images, acquired with a protocol that optimizes the contrast between the cortical grey matter and the underlying white matter.
UR - http://www.scopus.com/inward/record.url?scp=0343647160&partnerID=8YFLogxK
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U2 - 10.1109/ICASSP.1992.226149
DO - 10.1109/ICASSP.1992.226149
M3 - Conference contribution
AN - SCOPUS:0343647160
T3 - ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings
SP - 569
EP - 572
BT - ICASSP 1992 - 1992 International Conference on Acoustics, Speech, and Signal Processing
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 1992 IEEE International Conference on Acoustics, Speech, and Signal Processing, ICASSP 1992
Y2 - 23 March 1992 through 26 March 1992
ER -