TY - GEN
T1 - Actin filament segmentation using dynamic programming
AU - Li, Hongsheng
AU - Shen, Tian
AU - Huang, Xiaolei
PY - 2011
Y1 - 2011
N2 - We introduce a novel algorithm for actin filament segmentation in 2D TIRFM image sequences. This problem is difficult because actin filaments dynamically change shapes during their growth, and the TIRFM images are usually noisy. We ask a user to specify the two tips of a filament of interest in the first frame. We then model the segmentation problem in an image sequence as a temporal chain, where its states are tip locations; given candidate tip locations, actin filaments' body points are inferred by a dynamic programming method, which adaptively generates candidate solutions. Combining candidate tip locations and their inferred body points, the temporal chain model is efficiently optimized using another dynamic programming method. Evaluation on noisy TIRFM image sequences demonstrates the accuracy and robustness of this approach.
AB - We introduce a novel algorithm for actin filament segmentation in 2D TIRFM image sequences. This problem is difficult because actin filaments dynamically change shapes during their growth, and the TIRFM images are usually noisy. We ask a user to specify the two tips of a filament of interest in the first frame. We then model the segmentation problem in an image sequence as a temporal chain, where its states are tip locations; given candidate tip locations, actin filaments' body points are inferred by a dynamic programming method, which adaptively generates candidate solutions. Combining candidate tip locations and their inferred body points, the temporal chain model is efficiently optimized using another dynamic programming method. Evaluation on noisy TIRFM image sequences demonstrates the accuracy and robustness of this approach.
UR - http://www.scopus.com/inward/record.url?scp=80052334301&partnerID=8YFLogxK
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U2 - 10.1007/978-3-642-22092-0_34
DO - 10.1007/978-3-642-22092-0_34
M3 - Conference contribution
C2 - 21761674
AN - SCOPUS:80052334301
SN - 9783642220913
T3 - Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
SP - 411
EP - 423
BT - Information Processing in Medical Imaging - 22nd International Conference, IPMI 2011, Proceedings
T2 - 22nd International Conference on Information Processing in Medical Imaging, IPMI 2011
Y2 - 3 July 2011 through 8 July 2011
ER -