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2011, Chapman & Hall/CRC numerical analysis and scientific computing, ISBN 9781439869826, xxiii, 303
Book
Medical Physics, ISSN 0094-2405, 04/2014, Volume 41, Issue 4, pp. 041901 - n/a
... of the decomposition process. In this work, the authors propose an iterative image-domain decomposition method for noise suppression in DECT, using the full variance-covariance matrix of the decomposed images. Methods... 
conjugate gradient methods | iterative methods | Medical image noise | Medical image smoothing | noise suppression | Density measurement | Noise | Matrix theory | phantoms | Digital computing or data processing equipment or methods, specially adapted for specific applications | Computed tomography | Medical X‐ray imaging | best linear unbiased estimation | edge detection | edge predetection | Computerised tomographs | image resolution | medical image processing | covariance matrices | least squares approximations | Medical imaging | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | Numerical linear algebra | matrix inversion | Biological material, e.g. blood, urine; Haemocytometers | image denoising | image‐domain decomposition | computerised tomography | Image data processing or generation, in general | Medical image reconstruction | dual‐energy CT | General statistical methods | Medical image spatial resolution | Spatial resolution | Edge predetection | Dual-energy CT | Image-domain decomposition | Best linear unbiased estimation | Noise suppression | dual-energy CT | INITIAL-EXPERIENCE | EFFECTIVE ATOMIC NUMBER | LEAST-SQUARES APPROACH | SCATTER CORRECTION | COMPUTED-TOMOGRAPHY | image-domain decomposition | RADIATION-THERAPY | CONE-BEAM CT | EDGE-DETECTION | NOISE-REDUCTION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | ELECTRON-DENSITY | Head - diagnostic imaging | Tomography, X-Ray Computed - methods | Algorithms | Image Processing, Computer-Assisted - methods | Phantoms, Imaging | Signal-To-Noise Ratio | SPATIAL RESOLUTION | DECOMPOSITION | ALGORITHMS | COMPUTERIZED TOMOGRAPHY | IMAGE PROCESSING | SIGNAL-TO-NOISE RATIO | INHIBITION | LEAST SQUARE FIT | IMAGES | RADIOLOGY AND NUCLEAR MEDICINE | PHANTOMS | ITERATIVE METHODS | SMOOTH MANIFOLDS
Journal Article
Mathematical geosciences, ISSN 1874-8953, 2011, Volume 44, Issue 1, pp. 1 - 26
Journal Article
Medical Physics, ISSN 0094-2405, 01/2009, Volume 36, Issue 1, pp. 252 - 260
.... Our goal of this work is to develop an effective method that enables one to achieve a clinically acceptable CBCT image with as low as possible mAs without compromising quality... 
edge-preserving penalty | low-dose | iterative reconstruction | PWLS | cone-beam CT | iterative methods | Medical image noise | Medical image quality | dosimetry | Conformal radiation treatment | cone‐beam CT | phantoms | Modulation transfer functions | Computed tomography | Numerical approximation and analysis | medical image processing | edge‐preserving penalty | Reconstruction | least squares approximations | Medical imaging | image reconstruction | Dose‐volume analysis | computerised tomography | Cone beam computed tomography | Anisotropy | quality assurance | radiation therapy | Medical image reconstruction | General statistical methods | low‐dose | Spatial resolution | Low-dose | Cone-beam CT | Iterative reconstruction | Edge-preserving penalty | MULTISLICE | IMRT | RESTORATION | BEAM COMPUTED-TOMOGRAPHY | ALGORITHMS | SINOGRAM DATA | SPACE | MOTION | NOISE-REDUCTION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Reproducibility of Results | Algorithms | Radiographic Image Interpretation, Computer-Assisted - methods | Humans | Sensitivity and Specificity | Radiographic Image Enhancement - methods | Cone-Beam Computed Tomography - methods | Phantoms, Imaging | Subtraction Technique | IMAGE PROCESSING | LEAST SQUARE FIT | QUALITY ASSURANCE | RADIOLOGY AND NUCLEAR MEDICINE | PHANTOMS | RADIATION DOSES | ITERATIVE METHODS | RADIOTHERAPY | COMPUTERIZED TOMOGRAPHY | MATHEMATICAL METHODS AND COMPUTING | Radiation Imaging Physics
Journal Article
Journal Article
Medical Physics, ISSN 0094-2405, 07/2012, Volume 39, Issue 7, pp. 4291 - 4305
Purpose: To develop a new fully four-dimensional (4D), iterative image reconstruction algorithm for cardiac CT that alternates the following two methods... 
Heart | iterative methods | Medical image quality | Electrocardiography, i.e. ecg | motion artifacts | convergence | image registration | Vector fields | sum of squared weighted differences | biomechanics | motion compensation | electrocardiography | Electrical, thermal, and mechanical properties of biological matter | Digital computing or data processing equipment or methods, specially adapted for specific applications | optimisation | Computed tomography | Numerical optimization | Registration | motion estimation | deformation | object tracking | gradient methods | Computerised tomographs | medical image processing | Reconstruction | Medical imaging | motion estimation (ME) | blood vessels | motion‐compensated reconstruction (MCR) | Analysis of motion | image reconstruction | computerised tomography | Image data processing or generation, in general | Medical image reconstruction | Medical image artifacts | motion-compensated reconstruction (MCR) | NONINVASIVE CORONARY-ANGIOGRAPHY | FIELD | ALGORITHM | DUAL-SOURCE CT | COMPUTED-TOMOGRAPHY | BEAM RECONSTRUCTION | REGISTRATION | BACK-PROJECTION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Motion | Reproducibility of Results | Humans | Image Interpretation, Computer-Assisted - methods | Imaging, Three-Dimensional - methods | Tomography, X-Ray Computed - methods | Subtraction Technique | Myocardial Perfusion Imaging - methods | Artifacts | Algorithms | Coronary Angiography - methods | Cardiac-Gated Imaging Techniques - methods | Sensitivity and Specificity | Image Enhancement - methods | Pattern Recognition, Automated - methods | Radiation Imaging Physics
Journal Article
Journal Article
Medical physics (Lancaster), ISSN 0094-2405, 2014, Volume 41, Issue 12, pp. 121913 - n/a
Purpose: Iterative reconstruction (IR) offers notable advantages in computed tomography (CT... 
iterative methods | Medical image noise | dosimetry | sensitivity analysis | Noise | dose reduction | Scintigraphy | CT iterative reconstruction | Medical image contrast | Digital computing or data processing equipment or methods, specially adapted for specific applications | SAFIRE | physiological models | Computed tomography | Medical X‐ray imaging | Quantum noise | Image detection systems | Computerised tomographs | image resolution | medical image processing | Reconstruction | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | task‐generic | image reconstruction | Biological material, e.g. blood, urine; Haemocytometers | image denoising | Contrast | IRIS | computerised tomography | Image data processing or generation, in general | detectability index | Contrast sensitivity | Medical image reconstruction | Spatial resolution | task‐specific | Dosimetry/exposure assessment | task-generic | task-specific | RADIATION-EXPOSURE | PHANTOM | NOISE | SIMULATION | PROJECTION | SUBTLE LUNG NODULES | IMAGE QUALITY | LIVER | HUMAN OBSERVER PERFORMANCE | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Models, Theoretical | Artifacts | Algorithms | Area Under Curve | Tomography, X-Ray Computed - methods | ROC Curve | Radiation Dosage | Nonlinear Dynamics | Phantoms, Imaging | Tomography, X-Ray Computed - instrumentation | PERFORMANCE | RESOLUTION | RADIATION DOSES | ITERATIVE METHODS | COMPARATIVE EVALUATIONS | 60 APPLIED LIFE SCIENCES | COMPUTERIZED TOMOGRAPHY
Journal Article