Fast compressed sensing-based CBCT reconstruction using Barzilai-Borwein formulation for application to on-line IGRT

Purpose: Compressed sensing theory has enabled an accurate, low-dose cone-beam computed tomography (CBCT) reconstruction using a minimal number of noisy projections. However, the reconstruction time remains a significant challenge for practical implementation in the clinic. In this work, we propose...

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Veröffentlicht in:	Medical physics (Lancaster) 2012-03, Vol.39 (3), p.1207-1217
Hauptverfasser:	Park, Justin C., Song, Bongyong, Kim, Jin Sung, Park, Sung Ho, Kim, Ho Kyung, Liu, Zhaowei, Suh, Tae Suk, Song, William Y.
Format:	Artikel
Sprache:	eng
Schlagworte:	ALGORITHMS APPROXIMATIONS BEAMS CBCT compressed sensing Computed tomography Computerised tomographs computerised tomography COMPUTERIZED TOMOGRAPHY Cone beam computed tomography Cone-Beam Computed Tomography - methods CONVERGENCE Digital computing or data processing equipment or methods, specially adapted for specific applications Digital radiography Dosimetry gradient methods Hessian matrices Image data processing or generation, in general Image guided radiation therapy IMAGE PROCESSING Image Processing, Computer-Assisted - methods Image quality image reconstruction Image sensors LEAST SQUARE FIT least squares approximations low-dose medical image processing Medical image quality Medical image reconstruction Medical imaging Medical X‐ray imaging on-line IGRT OPTIMIZATION PHANTOMS Phantoms, Imaging RADIATION DOSES radiation therapy RADIOLOGY AND NUCLEAR MEDICINE RADIOTHERAPY Radiotherapy, Intensity-Modulated - methods Reconstruction RESOLUTION ROTATION
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