Constrained reconstructions for 4D intervention guidance.
暂无分享,去创建一个
M Kachelriess | W Semmler | J Kuntz | B Flach | R Kueres | S Bartling
[1] Avinash C. Kak,et al. Principles of computerized tomographic imaging , 2001, Classics in applied mathematics.
[2] Jin Sung Kim,et al. Fast compressed sensing-based CBCT reconstruction using Barzilai-Borwein formulation for application to on-line IGRT. , 2012, Medical physics.
[3] H. Verkooijen,et al. Real-Time 3D Fluoroscopy-Guided Large Core Needle Biopsy of Renal Masses: A Critical Early Evaluation According to the IDEAL Recommendations , 2012, CardioVascular and Interventional Radiology.
[4] Lei Xing,et al. Improved compressed sensing-based cone-beam CT reconstruction using adaptive prior image constraints , 2012, Physics in medicine and biology.
[5] Rebecca Fahrig,et al. Dose and image quality for a cone-beam C-arm CT system. , 2006, Medical physics.
[6] T. Struffert,et al. Angiographic CT for Intraprocedural Monitoring of Complex Neuroendovascular Procedures , 2013, American Journal of Neuroradiology.
[7] Jie Tang,et al. Temporal resolution improvement in cardiac CT using PICCS (TRI-PICCS): performance studies. , 2010, Medical physics.
[8] Jie Tang,et al. Prior image constrained compressed sensing (PICCS): a method to accurately reconstruct dynamic CT images from highly undersampled projection data sets. , 2008, Medical physics.
[9] Emmanuel J. Candès,et al. Robust uncertainty principles: exact signal reconstruction from highly incomplete frequency information , 2004, IEEE Transactions on Information Theory.
[10] D. Donoho,et al. Sparse MRI: The application of compressed sensing for rapid MR imaging , 2007, Magnetic resonance in medicine.
[11] Graeme C. Mc Kinnon,et al. Towards Imaging the Beating Heart Usefully with a Conventional CT Scanner , 1981, IEEE Transactions on Biomedical Engineering.
[12] A R Cowen,et al. The design and imaging characteristics of dynamic, solid-state, flat-panel x-ray image detectors for digital fluoroscopy and fluorography. , 2008, Clinical radiology.
[13] M. Kachelriess,et al. Improved total variation-based CT image reconstruction applied to clinical data , 2011, Physics in medicine and biology.
[14] S. Shim,et al. Combined Fluoroscopy- and CT-Guided Transthoracic Needle Biopsy Using a C-Arm Cone-Beam CT System: Comparison with Fluoroscopy-Guided Biopsy , 2011, Korean journal of radiology.
[15] Michael Grasruck,et al. Ultra-high resolution flat-panel volume CT: fundamental principles, design architecture, and system characterization , 2006, European Radiology.
[16] L. Feldkamp,et al. Practical cone-beam algorithm , 1984 .
[17] Guang-Hong Chen,et al. Prior image constrained compressed sensing (PICCS) , 2008, SPIE BiOS.
[18] E. Sidky,et al. Image reconstruction in circular cone-beam computed tomography by constrained, total-variation minimization , 2008, Physics in medicine and biology.
[19] David L Donoho,et al. Compressed sensing , 2006, IEEE Transactions on Information Theory.
[20] Xiaochuan Pan,et al. Enhanced imaging of microcalcifications in digital breast tomosynthesis through improved image-reconstruction algorithms. , 2009, Medical physics.
[21] Cyril Riddell,et al. Compressed Sensing Based 3D Tomographic Reconstruction for Rotational Angiography , 2011, MICCAI.
[22] Xiao Han,et al. Optimization-based reconstruction of sparse images from few-view projections , 2012, Physics in medicine and biology.
[23] J. Hornegger,et al. Technical note: RabbitCT--an open platform for benchmarking 3D cone-beam reconstruction algorithms. , 2009, Medical physics.
[24] Guang-Hong Chen,et al. Time-Resolved Interventional Cardiac C-arm Cone-Beam CT: An Application of the PICCS Algorithm , 2012, IEEE Transactions on Medical Imaging.
[25] W A Kalender,et al. Metal Artifact Reduction for Clipping and Coiling in Interventional C-Arm CT , 2010, American Journal of Neuroradiology.