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

Image Registration of Pre-procedural MRI and Intra-procedural CT Images to Aid CT-guided Percutaneous Cryoablation of Renal Tumors

Institution:
Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, MA, USA.
Publication Date:
Jan-2011
Journal:
Int J Comput Assist Radiol Surg
Volume Number:
6
Issue Number:
1
Pages:
111-7
Citation:
Int J Comput Assist Radiol Surg. 2011 Jan;6(1):111-7.
PubMed ID:
20499194
PMCID:
PMC3050046
Keywords:
Multi-modality image fusion, Cryoablation, Renal tumors, B-Spline, Non-rigid Registration
Appears in Collections:
NCIGT, NA-MIC, SLICER, SNR
Sponsors:
R01 CA124377/CA/NCI NIH HHS/United States
P41 RR019703/RR/NCRR NIH HHS/United States
U54 EB005149/EB/NIBIB NIH HHS/United States
Generated Citation:
Oguro S., Tuncali K., Elhawary H., Morrison P.R., Hata N., Silverman S.G. Image Registration of Pre-procedural MRI and Intra-procedural CT Images to Aid CT-guided Percutaneous Cryoablation of Renal Tumors. Int J Comput Assist Radiol Surg. 2011 Jan;6(1):111-7. PMID: 20499194. PMCID: PMC3050046.
Downloaded: 1479 times. [view map]
Paper: Download, View online
Export citation:
Google Scholar: link

PURPOSE: To determine whether a non-rigid registration (NRR) technique was more accurate than a rigid registration (RR) technique when fusing pre-procedural contrast-enhanced MR images to unenhanced CT images during CT-guided percutaneous cryoablation of renal tumors. METHODS: Both RR and NRR were applied retrospectively to 11 CT-guided percutaneous cryoablation procedures performed to treat renal tumors (mean diameter; 23 mm). Pre-procedural contrast-enhanced MR images of the upper abdomen were registered to unenhanced intra-procedural CT images obtained just prior to the ablation. RRs were performed manually, and NRRs were performed using an intensity-based approach with affine and Basis-Spline techniques used for modeling displacement. Registration accuracy for each technique was assessed using the 95% Hausdorff distance (HD), Fiducial Registration Error (FRE) and the Dice Similarity Coefficient (DSC). Statistical differences were analyzed using a two-sided Student's t-test. Time for each registration technique was recorded. RESULTS: Mean 95% HD (1.7 mm), FRE (1.7 mm) and DSC (0.96) using the NRR technique were significantly better than mean 95% HD (6.4 mm), FRE (5.0 mm) and DSC (0.88) using the RR technique (P < 0.05 for each analysis). Mean registration times of NRR and RR techniques were 15.2 and 5.7 min, respectively. CONCLUSIONS: The non-rigid registration technique was more accurate than the rigid registration technique when fusing pre-procedural MR images to intra-procedural unenhanced CT images. The non-rigid registration technique can be used to improve visualization of renal tumors during CT-guided cryoablation procedures.

Additional Material
1 File (120.856kB)
Sota-IntJComputAssistRadiolSurg2011-fig1.jpg (120.856kB)