- Oral presentation
- Open Access
Transurethral prostate thermotherapy: filtering the bowel motion during MR-thermometry processing
Journal of Therapeutic Ultrasoundvolume 3, Article number: O61 (2015)
Magnetic resonance imaging (MRI)-guided transurethral ultrasound therapy is a minimally-invasive image-guided treatment for localized prostate cancer offering precise targeting of tissue within the gland. The accuracy of MR thermometry is critical for precise on-line feedback control as well as for monitoring potential thermal injury of surrounding tissues, especially the rectum wall. The PRFS thermometry method used is sensitive to tissue motion and change in the local magnetic susceptibility which might be related to the motion of air bubbles in the rectum in the particular case of MR controlled prostate cancer therapy.
This method aims to filter sudden temperature artifacts. The filter is based on the analysis of the temporal standard deviation of the temperature relatively to the measurement noise and ultrasonic heating distribution. Inconsistent temperature variations are detected and cancelled in a first step. As a second step, a spatial averaging using reliable voxels is applied in this artifacted region to keep consistent heating distribution and maintain a low noise level.
Results and conclusions
This filter has been evaluated by post-processing data from five human transurethral ultrasound treatments. The two-steps correction of the artifact detected areas reduces the final standard deviation to levels similar to the originally non-artifacted prostate and rectum areas. Evaluation of the filter on the patient data showed that most artifacts due to the presence of moving air bubbles in the rectum have been detected and removed. A quantitative estimation of the filter capabilities shows a systematic improvement in the standard deviation of the corrected temperature maps, up to 2.2°C improvement on the artifacted rectum zone.
The authors wish to acknowledge financial support from the National Institutes of Health (1R21CA159550), and FedDEv Ontario (Technology Development Program). The authors also acknowledge the technical support provided by Philips MR Finland with respect to the processing of MR temperature maps acquired on the Philips MRI.