Surgical Planning Laboratory - Brigham & Women's Hospital - Boston, Massachusetts USA - a teaching affiliate of Harvard Medical School

Surgical Planning Laboratory

The Publication Database hosted by SPL

All Publications | Upload | Advanced Search | Gallery View | Download Statistics | Help | Import | Log in

Automatic Iceball Segmentation with Adapted Shape Priors for MRI-guided Cryoablation

Institution:
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Publisher:
John Wiley & Sons, Inc.
Publication Date:
Feb-2015
Journal:
J Magn Reson Imaging
Volume Number:
41
Issue Number:
2
Pages:
517-24
Citation:
J Magn Reson Imaging. 2015 Feb; 41(2): 517-24.
PubMed ID:
24338961
PMCID:
PMC4128910
Keywords:
MRI-guided cryoablation, adapted shape prior, automatic iceball segmentation, graph cut
Appears in Collections:
SPL, NCIGT, SLICER
Sponsors:
R01 CA152282/CA/NCI NIH HHS/United States
P41 RR019703/RR/NCRR NIH HHS/United States
P41 EB015898/EB/NIBIB NIH HHS/United States
Generated Citation:
Liu X., Tuncali K., Wells III W.M., Zientara G.P. Automatic Iceball Segmentation with Adapted Shape Priors for MRI-guided Cryoablation. J Magn Reson Imaging. 2015 Feb; 41(2): 517-24. PMID: 24338961. PMCID: PMC4128910.
Downloaded: 623 times. [view map]
Paper: Download, View online
Export citation:
Google Scholar: link

PURPOSE: To develop and evaluate an automatic segmentation method that extracts the 3D configuration of the ablation zone, the iceball, from images acquired during the freezing phase of MRI-guided cryoablation. MATERIALS AND METHODS: Intraprocedural images at 63 timepoints from 13 kidney tumor cryoablation procedures were examined retrospectively. The images were obtained using a 3 Tesla wide-bore MRI scanner and axial HASTE sequence. Initialized with semiautomatically localized cryoprobes, the iceball was segmented automatically at each timepoint using the graph cut (GC) technique with adapted shape priors. RESULTS: The average Dice Similarity Coefficients (DSC), compared with manual segmentations, were 0.88, 0.92, 0.92, 0.93, and 0.93 at 3, 6, 9, 12, and 15 min timepoints, respectively, and the average DSC of the total 63 segmentations was 0.92 ± 0.03. The proposed method improved the accuracy significantly compared with the approach without shape prior adaptation (P = 0.026). The number of probes involved in the procedure had no apparent influence on the segmentation results using our technique. The average computation time was 20 s, which was compatible with an intraprocedural setting. CONCLUSION: Our automatic iceball segmentation method demonstrated high accuracy and robustness for practical use in monitoring the progress of MRI-guided cryoablation.

Additional Material
1 File (150.823kB)
Liu-JMRI2015-fig6.jpg (150.823kB)