Statistical coronary motion models for 2D+t/3D registration of X-ray coronary angiography and CTA

Author:

Baka N.,Metz C.T.,Schultz C.,Neefjes L.,van Geuns R.J.,Lelieveldt B.P.F.,Niessen W.J.,van Walsum T.,de Bruijne M.

Funder

ITEA

Mediate

NWO

Publisher

Elsevier BV

Subject

Computer Graphics and Computer-Aided Design,Health Informatics,Computer Vision and Pattern Recognition,Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Reference37 articles.

1. 2D–3D shape reconstruction of the distal femur from stereo X-ray imaging using statistical shape models;Baka;Medical Image Analysis,2011

2. Comparison of shape regression methods under landmark position uncertainty;Baka,2011

3. Baka, N., Metz, C., Schultz, C., Neefjes, L., van Geuns, R., Lelieveldt, B., Niessen, W., de Bruijne, M., van Walsum, T., 2012. 3D+t/2D+t CTA-XA registration using population-based motion estimates. MICCAI-Workshop on Computer Assisted Stenting, MICCAI-STENT’12, pp. 64–71

4. A statistical model of respiratory motion and deformation of the liver;Blackall,2001

5. Automatic segmentation of echocardiographic sequences by active appearance motion models;Bosch;IEEE Transactions on Medical Imaging,2002

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