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Abstract #1592

Validation of Real-Time Target Tracking for MRI-Guided Interventions

Sjoerd Crijns1, Alexis Kotte1, Jan Lagendijk1, Bas Raaymakers1

1Imaging division, department of radiotherapy, UMC Utrecht, Utrecht, Netherlands In MRI-guided interventions such as MR-guided HIFU and MR-guided radiotherapy, image feed-back is applied to adapt the treatment to the current state of the anatomy. To do this effectively in treatment of abdominal organs, the target location must be tracked during motion induced by patient breathing. To this end, we propose to track a single point in an image series using a Minimum Output Sum of Squares (MOSSE) filter and validate its performance. We validate the performance of this method and find that it can track targets with sub-millimetre precission while processing time per frame remains less than one millisecond.

 

Keywords

abdomen abdominal according accuracy acquisition adapt adapting amplitude anatomy apparent applied around artificial back blown breathing cine clearly compact computational concluding contour correlating correlation course covering cropped cycles datasets deformations delivery detection determined displacement division enable enabled enough error errors evaluation even every fast feed feedback filter finally five frame frames future gated generated guided hardware hundreds implemented imposing initial inspection instead integrated intensity interpreted interventions investigate kidney known liver load location match matrix minimal moreover motion near necessitating next organs output peak phys position previous previously process processing produces propagation propose proposed radiation radiotherapy random reach real recently recorded refine refinement refinements registration registrations related remains remarks require required requiring resorting rigid robust scale scanner search sense series short simple simultaneous slice speed spread squared strategies subsequent subsequently suitable target toolkit track tracked tracker tracking trajectory trans transformation transformations translation translations treatment true typical updated validation variations visual volunteers window