Accelerated C-Arm Reconstruction by Out-of-Projection Prediction

3-D image reconstruction from C-arm projections is a computationally demanding task. However, for interventional procedures a fast reconstruction is desirable. We present a method to reduce the number of actually back-projected voxels and ultimately the processing time by 20–30% without affecting image quality. The proposed method detects and skips subvolumes that are not visible in the current view. It works with projection matrices and is thus capable of handling arbitrary geometries. It can easily be incorporated into existing algorithms and is also suitable for the back-projection step of iterative algorithms.

[1]  Wolfgang Härer,et al.  Iterative extended field of view reconstruction , 2007, SPIE Medical Imaging.

[2]  Milan Sonka,et al.  Medical Imaging 2001: Image Processing , 2001 .

[3]  Xinwei Xue,et al.  Acceleration of fluoro-CT reconstruction for a mobile C-arm on GPU and FPGA hardware: a simulation study , 2006, SPIE Medical Imaging.

[4]  Ian Lewis,et al.  Proceedings of the SPIE , 2012 .

[5]  Klaus Mueller,et al.  IOP PUBLISHING PHYSICS IN MEDICINE AND BIOLOGY , 2007 .

[6]  Michael Knaup,et al.  Hyperfast parallel-beam and cone-beam backprojection using the cell general purpose hardware. , 2007, Medical physics.

[7]  Xinwei Xue,et al.  Hardware-accelerated cone-beam reconstruction on a mobile C-arm , 2007, SPIE Medical Imaging.

[8]  Joachim Hornegger,et al.  Putting ' p ' in RabbitCT-Fast CT Reconstruction Using a Standardized Benchmark , 2010 .

[9]  L. Feldkamp,et al.  Practical cone-beam algorithm , 1984 .

[10]  Michael John Flynn Medical Imaging 2005: Physics of Medical Imaging , 2001 .

[11]  Ruola Ning,et al.  High-speed cone-beam reconstruction on PC , 2001, SPIE Medical Imaging.

[12]  J. Hornegger,et al.  Fast GPU-Based CT Reconstruction using the Common Unified Device Architecture (CUDA) , 2007, 2007 IEEE Nuclear Science Symposium Conference Record.

[13]  J. Hornegger,et al.  Technical note: RabbitCT--an open platform for benchmarking 3D cone-beam reconstruction algorithms. , 2009, Medical physics.

[14]  Markus Kowarschik,et al.  Implementation of the FDK algorithm for cone-beam CT on the cell broadband engine architecture , 2007, SPIE Medical Imaging.

[15]  J. Hornegger,et al.  Towards Carm CT Reconstruction on Larrabee , 2009 .

[16]  Klaus Mueller,et al.  Rapid 3D cone-beam reconstruction with the Algebraic Reconstruction Technique (ART) by utilizing texture mapping graphics hardware , 1998, 1998 IEEE Nuclear Science Symposium Conference Record. 1998 IEEE Nuclear Science Symposium and Medical Imaging Conference (Cat. No.98CH36255).