Paper Info
Title
Multiframe Estimation Of Contour Evolution In Medical Images
Abstract
A framework for temporal estimation of contour deformation in image sequences has been developed. The proposed solution for point-wise tracking finds, for a point, one optimum trajectory across multiple frames, in contrast with frame-to-frame tracking (2-frame). The multiframe approach aims (i) to find the complete point trajectory as the global optimal track over the space with multiple contours, and not as optimal sub-tracks concatenated over this set of contours; and (ii) take into account information from an extended time interval. The multiframe solution is framed as a shortest-path problem and uses the Dijkstra's algorithm. The method applies the dynamic programming technique to find the global trajectory. The algorithm requires no special initialization or markers. It is a non-invasive method and image modality independent. The usefulness of the multiframe tracking is illustrated using synthetic images. The method demonstrated to be consistent with methods published in the literature.
Year
DOI
Venue
2008
10.1109/ISBI.2008.4540986
2008 IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING: FROM NANO TO MACRO, VOLS 1-4
Keywords
Field
DocType
left ventricular motion estimation, point-wise tracking, medical imaging, multiframe, shortest-path algorithm
Computer vision,Dynamic programming,Shortest path problem,Medical imaging,Computer science,Artificial intelligence,Concatenation,Initialization,Motion estimation,Trajectory,Dijkstra's algorithm
Conference
ISSN
Citations 
PageRank 
1945-7928
0
0.34
References 
Authors
0
2
Name
Order
Citations
PageRank
Ângela Vilhena Dias100.68
Sérgio Shiguemi Furuie2183.29