Abstract #2328
Local Refinement for Automatic Probe Detection in 3T MRI
Xinyang Liu 1 , Kemal Tuncali 1 , William M Wells III 1 , and Gary P. Zientara 1
1
Radiology, Brigham and Women's Hospital and
Harvard Medical School, Boston, MA, United States
The purpose of this study is to develop an automatic
approach to detect multiple 3D probes in 3T abdominal
HASTE images obtained during MRI-guided cryoablation.
The detected probes can be used to guide automatic
iceball segmentation during the freeze cycles of the
procedure. We introduced a novel template to model the
probe artifact, and an extra local refinement process to
improve accuracy of the detection. Retrospective
experiments based on 13 MRI-guided cryoablation cases
show that our automatic probe detection method with
local refinement is accurate and robust, compared with
results determined manually, and is feasible for
clinical use.
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