期刊
IEEE TRANSACTIONS ON MEDICAL IMAGING
卷 30, 期 11, 页码 1887-1900出版社
IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
DOI: 10.1109/TMI.2011.2158235
关键词
Biomechanical modelling; finite element analysis; image-guided interventions; prostate cancer; statistical shape modelling; ultrasound
类别
资金
- UCL/UCLH Comprehensive Biomedical Research Centre [96]
- Royal Academy of Engineering/EPSRC
- Department of Health's NIHR Biomedical Research Centres
- Engineering and Physical Sciences Research Council [EP/H046410/1] Funding Source: researchfish
- Medical Research Council [G1002509, G0701302] Funding Source: researchfish
- National Institute for Health Research [NF-SI-0509-10143] Funding Source: researchfish
- EPSRC [EP/H046410/1] Funding Source: UKRI
- MRC [G1002509, G0701302] Funding Source: UKRI
There is growing clinical demand for image registration techniques that allow multimodal data fusion for accurate targeting of needle biopsy and ablative prostate cancer treatments. However, during procedures where transrectal ultrasound (TRUS) guidance is used, substantial gland deformation can occur due to TRUS probe pressure. In this paper, the ability of a statistical shape/motion model, trained using finite element simulations, to predict and compensate for this source of motion is investigated. Three-dimensional ultrasound images acquired on five patient prostates, before and after TRUS-probe-induced deformation, were registered using a nonrigid, surface-based method, and the accuracy of different deformation models compared. Registration using a statistical motion model was found to outperform alternative elastic deformation methods in terms of accuracy and robustness, and required substantially fewer target surface points to achieve a successful registration. The mean final target registration error (based on anatomical landmarks) using this method was 1.8 mm. We conclude that a statistical model of prostate deformation provides an accurate, rapid and robust means of predicting prostate deformation from sparse surface data, and is therefore well-suited to a number of interventional applications where there is a need for deformation compensation.
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