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Automatic path proposal computation for CT-guided percutaneous liver biopsy.
- Source :
- International Journal of Computer Assisted Radiology & Surgery; Dec2016, Vol. 11 Issue 12, p2199-2205, 7p
- Publication Year :
- 2016
-
Abstract
- Purpose : To evaluate feasibility of automatic software-based path proposals for CT-guided percutaneous biopsies. Methods : Thirty-three patients (60 $$\pm $$ 12 years) referred for CT-guided biopsy of focal liver lesions were consecutively included. Pre-interventional CT and dedicated software (FraunhoferMeVis Pathfinder) were used for (semi)automatic segmentation of relevant structures. The software subsequently generated three path proposals in downward quality for CT-guided biopsy. Proposed needle paths were compared with consensus proposal of two experts (comparable, less suitable, not feasible). In case of comparable results, equivalent approach to software-based path proposal was used. Quality of segmentation process was evaluated (Likert scale, 1 $$=$$ best, 6 $$=$$ worst), and time for processing was registered. Results : All biopsies were performed successfully without complications. In 91 % one of the three automatic path proposals was rated comparable to experts' proposal. None of the first proposals was rated not feasible, and 76 % were rated comparable to the experts' proposal. 7 % automatic path proposals were rated not feasible, all being second choice ( $$n=1$$ ) or third choice ( $$n=6$$ ). In 79 %, segmentation at least was good. Average total time for establishing automatic path proposal was 42 $$\pm $$ 9 s. Conclusion : Automatic software-based path proposal for CT-guided liver biopsies in the majority provides path proposals that are easy to establish and comparable to experts' insertion trajectories. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 18616410
- Volume :
- 11
- Issue :
- 12
- Database :
- Complementary Index
- Journal :
- International Journal of Computer Assisted Radiology & Surgery
- Publication Type :
- Academic Journal
- Accession number :
- 119478664
- Full Text :
- https://doi.org/10.1007/s11548-015-1349-0