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Subpixel registration in renal perfusion MR image sequence

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3 Author(s)
Ying Sun ; Dept. of Electr. & Comput. Eng., Carnegie Mellon Univ., PA, USA ; Moura, J.M.F. ; Chien Ho

We propose a subpixel registration algorithm to deal with the motion induced by breathing for renal perfusion MR image sequences. Our approach minimizes an energy functional that integrates a motion model and temporal smoothness constraints. We then present a multistage level set method that segments different kidney structures in the registered MR image sequence. Tests with a rat kidney transplantation study show that the algorithm successfully compensates for the breathing motion and extracts the kidneys, cortex, medulla, and pelvis.

Published in:

Biomedical Imaging: Nano to Macro, 2004. IEEE International Symposium on

Date of Conference:

15-18 April 2004