Projects: Medical Imaging

Some current projects include the use of programmable commodity graphics hardware (GPUs) to accelerate a wide variety of 3D tomographic reconstruction algorithms. So far we have achieved speedups of 1-2 orders of magnitude (a factor of 10-100), without significant losses in reconstruction quality (see here for more information). Our approach enables rapid 3D reconstruction in diagnostic imaging, radio-therapy applications, surgery planning, electron microscopy, and others, at a fraction of the cost of proprietary hardware. Related projects are the 3D reconstruction from transmission ultrasound, MV-CT and proton-CT data, projections obtained via mobile X-ray source/detector pairs, and functional imaging applications, including MRI, functional MRI, SPECT, and PET.

GPU-Acceleration of Attenuation and Scattering Compensation in Emission Computed Tomography
F. Xu and K. Mueller
9th Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine '07
High Performance Image Reconstruction Workshop
Lindau, Germany, July 2007
Real-Time 3D Computed Tomographic Reconstruction Using Commodity Graphics Hardware
F. Xu and K. Mueller
Physics in Medicine and Biology
vol. 52, pp. 3405–3419, 2007
Hardware acceleration vs. algorithmic acceleration: Can GPU-based processing beat complexity optimization for CT?
N. Neophytou, F. Xu, and K. Mueller
SPIE Medical Imaging '07
San Diego, February 2007
Why do GPUs work so well for acceleration of CT?
K. Mueller, F. Xu, and N. Neophytou
SPIE Electronic Imaging '07 (Keynote, Computational Imaging V)
San Jose, January 2007

Fast Marching Method to correct for refraction in ultrasound computed tomography
S. Li, K. Mueller, M. Jackowski, D. Dione, and L. Staib
IEEE 2006 International Symposium on Biomedical Imaging (ISBI '06)
Arlington, VA, April 2006
pp. 896-899, 2006

 
Practical considerations for GPU-accelerated CT
K. Mueller and F. Xu
IEEE 2006 International Symposium on Biomedical Imaging (ISBI '06)
Arlington, VA, April 2006
pp. 1184-1187, 2006

A comparative study of popular interpolation and integration methods for use in computed tomography
F. Xu and K. Mueller
IEEE 2006 International Symposium on Biomedical Imaging (ISBI '06)
Arlington, VA, April 2006
pp. 1252-1255, 2006


Accelerating Popular Tomographic Reconstruction Algorithms On Commodity PC Graphics Hardware
F. Xu and K. Mueller
IEEE Transactions on Nuclear Science
vol. 52, no. 3, pp. 654-663, 2005

Ultra-Fast 3D Filtered Backprojection on Commodity Graphics Hardware
F. Xu and K. Mueller
IEEE International Symposium on Biomedical Imaging (ISBI '04)
Arlington, VA, April 2004


Towards a Unified Framework for Rapid Computed Tomography on Commodity GPUs
F. Xu and K. Mueller
IEEE Medical Imaging Conference (MIC) 2003
Portland, OR, October 2003


Conceptual design of a proton computed tomography system for applications in proton radiation therapy
R. Schulte, V. Bashkirov, T. Li, Z. Liang, K. Mueller,  et al.,
IEEE Transactions on Nuclear Science
vol. 51, no. 3, pp. 866-872, 2004

Reconstruction for Proton Computed Tomography: A Practical Approach
K. Mueller, Z. Liang, T. Li, F. Xu, et al.
IEEE Medical Imaging Conference (MIC) 2003
Portland, OR, October 2003
Design of a Proton Computed Tomography System for Applications in Proton Radiation Therapy 
R. Schulte, V. Bashkirov, T. Li, J. Liang, K. Mueller, et al.
IEEE Medical Imaging Conference (MIC) 2003
Portland, OR, October 2003

Reconstruction for Proton Computed Tomography: A Monte Carlo Study
T. Li, Z. Liang, K. Mueller, et al.
IEEE Medical Imaging Conference (MIC) 2003
Portland, OR, October 2003
Rapid 3D cone-beam reconstruction with the Simultaneous Algebraic Reconstruction Technique (SART) using 2D texture mapping hardware
K. Mueller and R. Yagel
IEEE Transactions on Medical Imaging
vol. 19, no. 12, pp. 1227-1237, 2000

Anti-aliased 3D cone-beam reconstruction of low-contrast objects with algebraic methods
K. Mueller, R. Yagel, and J.J. Wheller
IEEE Transactions on Medical Imaging
vol. 18, no. 6, pp. 519-537, 1999

Fast implementations of algebraic methods for the 3D reconstruction from cone-beam data
K. Mueller, R. Yagel, and J.J. Wheller
IEEE Transactions on Medical Imaging
vol. 18, no. 6, pp. 538-547, 1999

On the use of graphics hardware to accelerate algebraic reconstruction methods
K. Mueller and R. Yagel
1999 SPIE Medical Imaging Conference, No. 3659-62
San Diego, February 1999

Fast and accurate three-dimensional reconstruction from cone-beam projection data using algebraic methods
K. Mueller
PhD dissertation, The Ohio State University
June, 1998


A fast and accurate projection algorithm for the Algebraic Reconstruction Technique (ART)
K. Mueller, R. Yagel, and J.J. Wheller
1998 SPIE Medical Imaging Conference, Vol. SPIE 3336
San Diego, February 1998
pp. 24-732 (won Honorary Mention Award) 
 

The weighted distance scheme: a globally optimizing projection ordering method for the Algebraic Reconstruction Technique (ART)
K. Mueller, R. Yagel, and J.F. Cornhill
IEEE Transactions on Medical Imaging
vol. 16, no. 2, pp. 223-230, 1997
 

Accelerating the anti-aliased Algebraic Reconstruction Technique (ART) by table-based voxel backward projection
K. Mueller, R. Yagel, and J.F. Cornhill
EMBS'95 (Conference of the IEEE Engineering in Medicine and Biology Society)
Montreal, June 1995
pp. 579-580
 

 

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Last update: June 27, 2005
http://www.cs.sunysb.edu/~mueller