Automated Planning of Scan Geometry in Follow-up Prostate MRI Examinations

In this work, we present a robust and accurate method for the automated planning of scan geometry in follow-up prostate exams. In order to better cope with the specific challenges of prostate MR exams, where high-resolution scans with small FOV generally need to be planned, the rigid registration method presented recently was adapted by using an image based organ detection as initialization of the registration algorithm. This step ensures a robust and stable registration. This new approach was evaluated retrospectively on volunteer data and tested on a commercial MRI system.

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