IEEE Transactions on Pattern Analysis and Machine Intelligence
Extraction and quantitative analysis of aneurysmal aorta for aiding endovascular stent grafting
Systems and Computers in Japan
A Class of Algorithms for Fast Digital Image Registration
IEEE Transactions on Computers
Stent graft removal for improving 2D-3D registration
ISBI'09 Proceedings of the Sixth IEEE international conference on Symposium on Biomedical Imaging: From Nano to Macro
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We investigated a registration method between preoperative 3D-CTA and intraoperative fluoroscopic images during intervention. Our final goal is assisting endovascular stent grafting for aortic aneurysm. In our method, DRR (Digitally Reconstructed Radiograph) are generated by voxel projection of 3D-CTA after extracting an aorta region. By increasing/decreasing CT value in the aorta region of CTA, DRR with/without contrast media injection are obtained. Subsequently we calculate matching measures between DRR and fluoroscopic images iteratively by changing imaging parameters. The most similar DRR to fluoroscopic image is selected. We investigated characteristics of several matching measures using simulated fluoroscopic images. From simulation results, we use M-estimator of residual in our method. From an application example to clinical data, registration was successfully applied by M-estimator of residual.