
Proceedings Paper
Tomosynthesis via total variation minimization reconstruction and prior image constrained compressed sensing (PICCS) on a C-arm systemFormat | Member Price | Non-Member Price |
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Paper Abstract
Recently, foundational mathematical theory, compressed sensing (CS), has been developed which enables accurate
reconstruction from greatly undersampled frequency information (Candes et. al. and Donoho). Using numerical
phantoms it has been demonstrated that CS reconstruction (e.g. minimizing the ℓ1 norm of the discrete gradient
of the image) offers promise for computed tomography. However, when using experimental CT projection data the
undersampling factors enabled were smaller than in numerical simulations. An extension to CS has recently been
proposed wherein a prior image is utilized as a constraint in the image reconstruction procedure (i.e. Prior Image
Constrained Compressed Sensing - PICCS). Experimental results are demonstrated here from a clinical C-arm
system, highlighting one application of PICCS in reducing radiation exposure during interventional procedures
while preserving high image quality. In this study a range of view angles has been investigated from very limited
angle aquisitions (e.g. tomosythesis) to undersampled CT acquisitions.
Paper Details
Date Published: 18 March 2008
PDF: 10 pages
Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 69132D (18 March 2008); doi: 10.1117/12.771294
Published in SPIE Proceedings Vol. 6913:
Medical Imaging 2008: Physics of Medical Imaging
Jiang Hsieh; Ehsan Samei, Editor(s)
PDF: 10 pages
Proc. SPIE 6913, Medical Imaging 2008: Physics of Medical Imaging, 69132D (18 March 2008); doi: 10.1117/12.771294
Show Author Affiliations
Published in SPIE Proceedings Vol. 6913:
Medical Imaging 2008: Physics of Medical Imaging
Jiang Hsieh; Ehsan Samei, Editor(s)
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