Abstract #3896
Automated Planning of Scan Geometry in Follow-up Prostate MRI Examinations
Peter Mazurkewitz 1 , Daniel Bystrov 1 , Peter Koken 1 , Torbjoern Vik 1 , and Julien Sngas 1
1
Philips Research Laboratories, Hamburg,
Germany
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.
This abstract and the presentation materials are available to members only;
a login is required.
Join Here
