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. Author manuscript; available in PMC: 2013 Dec 16.
Published in final edited form as: Proc SPIE Int Soc Opt Eng. 2013 Mar 8;8671:86710A. doi: 10.1117/12.2007610

Figure 1.

Figure 1

Flowchart for our registration algorithm consisting of the following modules: (1) Prostate delineation on MRI (prostate boundary shown in green); (2) Construction of probabilistic model of prostate location on TRUS where blue corresponds to pixels most unlikely to belong to the prostate, red corresponds to pixels most likely to belong to the prostate. The model consists of estimating (a) likely location of prostate on TRUS (spatial prior) and (b) likely appearance of prostate on TRUS (texture and intensity features); (3) Registration of MRI segmentation to TRUS model by (a) affine (translation, rotation, scale) registration and (b) elastic registration.

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