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Medical Physics, ISSN 0094-2405, 03/2014, Volume 41, Issue 3, pp. 031906 - n/a
Purpose: To study the noise correlation properties of cone-beam CT (CBCT) projection data and to incorporate the noise correlation information to a statistics... 
Medical image noise | Noise | noise correlation | Matrix theory | Image reconstruction | phantoms | Digital computing or data processing equipment or methods, specially adapted for specific applications | Computed tomography | image restoration | Dosimetry | Computerised tomographs | medical image processing | Reconstruction | covariance matrices | least squares approximations | Data analysis | Medical imaging | Probability theory, stochastic processes, and statistics | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | Poissonˈs equation | low‐dose CBCT | PWLS | Biological material, e.g. blood, urine; Haemocytometers | image denoising | image matching | Image sensors | computerised tomography | Cone beam computed tomography | Image data processing or generation, in general | Acoustic noise measurement | Medical image reconstruction | statistics | low-dose CBCT | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Reproducibility of Results | Anthropometry | Humans | Radiographic Image Enhancement - methods | Male | Models, Statistical | Radiation Dosage | Algorithms | Image Processing, Computer-Assisted | Least-Squares Analysis | Poisson Distribution | Cone-Beam Computed Tomography - methods | Phantoms, Imaging | Radiographic Image Interpretation, Computer-Assisted | Index Medicus | BIOLOGICAL RECOVERY | LEAST SQUARE FIT | PERFORMANCE | RADIOLOGY AND NUCLEAR MEDICINE | CORRELATIONS | NOISE | PELVIS | PHANTOMS | RADIATION DOSES | ALGORITHMS
Journal Article
Medical physics (Lancaster), ISSN 0094-2405, 12/2013, Volume 41, Issue 1, pp. 011908 - n/a
Purpose: To develop and evaluate an image-domain noise reduction method based on a modified nonlocal means (NLM... 
Medical image noise | Medical image quality | dosimetry | Noise | CT dose reduction | Scintigraphy | Image reconstruction | phantoms | Digital computing or data processing equipment or methods, specially adapted for specific applications | optical transfer function | Architectures of general purpose stored programme computers | Computed tomography | nonlocal means filtering | noise estimation | Computerised tomographs | medical image processing | adaptive denoising | Noise propagation | Image scanners | adaptive filters | Medical imaging | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | Biological material, e.g. blood, urine; Haemocytometers | graphics processing units | image denoising | Dose‐volume analysis | Adaptive networks | computerised tomography | Image data processing or generation, in general | Medical image reconstruction | Processor architectures; Processor configuration, e.g. pipelining | Spatial resolution | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Computer Graphics | Reproducibility of Results | Algorithms | Time Factors | Signal-To-Noise Ratio | Tomography, X-Ray Computed - methods | Image Processing, Computer-Assisted - methods | Phantoms, Imaging | Index Medicus | IMAGE PROCESSING | SPATIAL RESOLUTION | BIOMEDICAL RADIOGRAPHY | IMAGES | RADIOLOGY AND NUCLEAR MEDICINE | PHANTOMS | RADIATION DOSES | ALGORITHMS | COMPUTERIZED TOMOGRAPHY
Journal Article
07/2011, Volume 38, Issue 7, 16
Since scattered radiation in cone-beam volume CT implies severe degradation of CT images by quantification errors, artifacts, and noise increase, scatter suppression is one of the main issues related... 
differential signal-to-noise ratio | noise propagation | contrast-to-noise ratio | maximum likelihood reconstruction | consistency | Bayes reconstruction | scatter correction | image quality | iterative correction | noise filtering | cone-beam CT | statistical optimization | scatter suppression | iterative reconstuction | Poisson's equation | Medical image noise | Medical image quality | Computed radiography | Noise | cone‐beam CT | Image reconstruction | image restoration | Computed tomography | Medical X‐ray imaging | differential signal‐to‐noise ratio | medical image processing | Medical imaging | Mammography | diagnostic radiography | contrast‐to‐noise ratio | emission tomography | image denoising | Cone beam computed tomography | X‐ray scattering | Medical image reconstruction | Image reconstruction; tomography | statistical analysis | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Artifacts | Reproducibility of Results | Algorithms | Radiographic Image Interpretation, Computer-Assisted - methods | X-Rays | Sensitivity and Specificity | Imaging, Three-Dimensional - methods | Radiographic Image Enhancement - methods | Scattering, Radiation | Cone-Beam Computed Tomography - methods | Index Medicus | CORRECTIONS | X RADIATION | ERRORS | MAMMARY GLANDS | BIOMEDICAL RADIOGRAPHY | MATHEMATICAL MODELS | ALGORITHMS | ACCURACY | CAT SCANNING | IMAGE PROCESSING | SIGNAL-TO-NOISE RATIO | TRANSMISSION | MINIMIZATION | IMAGES | X-RAY RADIOGRAPHY | RADIOLOGY AND NUCLEAR MEDICINE | COMPUTER CODES | ITERATIVE METHODS | MAXIMUM-LIKELIHOOD FIT | MATHEMATICAL METHODS AND COMPUTING
Book Review
Medical Physics, ISSN 0094-2405, 09/2016, Volume 43, Issue 9, pp. 5225 - 5239
Purpose: Partial volume correction (PVC) methods typically improve quantification at the expense of increased image noise and reduced reproducibility... 
Heart | Medical image noise | cellular biophysics | Noise | smoothing methods | Scintigraphy | cardiac SPECT/CT | Medical image contrast | Digital computing or data processing equipment or methods, specially adapted for specific applications | image enhancement | Computed tomography | Single photon emission computed tomography (SPECT) | image resolution | medical image processing | Reconstruction | partial volume correction | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | single photon emission computed tomography | Medical image segmentation | image reconstruction | Biological material, e.g. blood, urine; Haemocytometers | Vascular system | blood | image denoising | cardiology | anatomical prior | Image data processing or generation, in general | Medical image reconstruction | Edge enhancement | Cardiac dynamics | Measuring radioactive content of objects, e.g. contamination (whole‐body counters G01T011/63) | Spatial resolution | maximum a posteriori | Life Sciences & Biomedicine | Radiology, Nuclear Medicine & Medical Imaging | Science & Technology | Algorithms | Animals | Signal-To-Noise Ratio | Dogs | Single Photon Emission Computed Tomography Computed Tomography | Image Processing, Computer-Assisted - methods | Radiation Dosage | Phantoms, Imaging | Heart - diagnostic imaging | Index Medicus | CORRECTIONS | BIOMEDICAL RADIOGRAPHY | IMAGES | RADIATION PROTECTION AND DOSIMETRY | RADIOLOGY AND NUCLEAR MEDICINE | BLOOD CELLS | NOISE | PVC | 60 APPLIED LIFE SCIENCES | SINGLE PHOTON EMISSION COMPUTED TOMOGRAPHY | CAT SCANNING | QUANTITATIVE IMAGING AND IMAGE PROCESSING | cardiac SPECT
Journal Article