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image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image (249) 249
digital computing or data processing equipment or methods, specially adapted for specific applications (247) 247
image data processing or generation, in general (246) 246
medical image processing (245) 245
radiology, nuclear medicine & medical imaging (240) 240
image denoising (175) 175
humans (170) 170
biological material, e.g. blood, urine; haemocytometers (167) 167
noise (151) 151
computed tomography (143) 143
medical image noise (143) 143
image reconstruction (130) 130
phantoms (130) 130
computerised tomographs (127) 127
computerised tomography (127) 127
algorithms (126) 126
reconstruction (125) 125
medical image reconstruction (123) 123
phantoms, imaging (119) 119
medical imaging (110) 110
60 applied life sciences (92) 92
image processing (77) 77
image enhancement (75) 75
spatial resolution (72) 72
image processing, computer-assisted - methods (71) 71
cancer (68) 68
dosimetry (65) 65
radiology and nuclear medicine (65) 65
signal-to-noise ratio (63) 63
computerized tomography (61) 61
scintigraphy (60) 60
tomography, x-ray computed - methods (60) 60
image resolution (58) 58
iterative methods (54) 54
edge enhancement (52) 52
medical image contrast (52) 52
medical x‐ray imaging (52) 52
image sensors (51) 51
segmentation (50) 50
computed-tomography (48) 48
image segmentation (47) 47
radiation imaging physics (46) 46
biomedical mri (44) 44
computer simulation (44) 44
involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging (44) 44
medical image artifacts (43) 43
radiotherapy (43) 43
tumours (43) 43
magnetic resonance imaging (41) 41
reproducibility of results (41) 41
radiation doses (40) 40
radiation protection and dosimetry (40) 40
radiation therapy (40) 40
tissues (40) 40
radiation dosage (38) 38
simulation (38) 38
image analysis (37) 37
medical image segmentation (37) 37
biomedical radiography (35) 35
diagnostic radiography (35) 35
medical image quality (35) 35
patients (34) 34
tomography, x-ray computed - instrumentation (34) 34
x‐ray imaging (34) 34
female (32) 32
accuracy (31) 31
lungs (31) 31
cone beam computed tomography (30) 30
dosimetry/exposure assessment (30) 30
mammography (30) 30
photons (30) 30
image quality (29) 29
algorithm (28) 28
medical image spatial resolution (28) 28
optimization (28) 28
sensitivity and specificity (28) 28
cone-beam ct (27) 27
feature extraction (27) 27
numerical approximation and analysis (27) 27
radiographic image enhancement - methods (27) 27
image restoration (26) 26
modulation transfer functions (26) 26
positron emission tomography (26) 26
x‐ray detectors (26) 26
iterative reconstruction (25) 25
lung (25) 25
mammary glands (25) 25
registration (25) 25
biological tissues (24) 24
data acquisition (24) 24
image detection systems (24) 24
image scanners (24) 24
mammography - methods (24) 24
cone-beam computed tomography - methods (23) 23
imaging, three-dimensional - methods (23) 23
magnetic resonance imaging - methods (23) 23
contrast (22) 22
image registration (22) 22
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Medical Physics, ISSN 0094-2405, 08/2015, Volume 42, Issue 8, pp. 4698 - 4707
.... In some applications, it is desirable to use data corresponding to a narrow temporal window to reconstruct images with reduced temporal‐average artifacts... 
iterative methods | Medical image noise | compressed sensing | Image coding, e.g. from bit‐mapped to non bit‐mapped | Time resolved imaging | Medical image contrast | Digital computing or data processing equipment or methods, specially adapted for specific applications | image enhancement | Computed tomography | time‐resolved imaging | Numerical approximation and analysis | Computerised tomographs | medical image processing | X‐ray | artifacts | Reconstruction | Probability theory, stochastic processes, and statistics | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | Data acquisition | image reconstruction | Biological material, e.g. blood, urine; Haemocytometers | computerised tomography | Cone beam computed tomography | Image data processing or generation, in general | Medical image reconstruction | Edge enhancement | statistical analysis | image coding | Medical image artifacts | reconstruction | time-resolved imaging | X-ray | RESOLUTION IMPROVEMENT | QUALITY | COMPUTED-TOMOGRAPHY | CT | PICCS | FAN-BEAM PROJECTIONS | SCAN | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | REGIONS-OF-INTEREST | Artifacts | Algorithms | Computer Simulation | Humans | Head - diagnostic imaging | Models, Statistical | Cone-Beam Computed Tomography - methods | APPROXIMATIONS | BEAMS | RADIATION PROTECTION AND DOSIMETRY | DATA ACQUISITION | ALGORITHMS | IN VIVO | STATISTICAL MODELS | 60 APPLIED LIFE SCIENCES | COMPUTERIZED TOMOGRAPHY | COMPUTERIZED SIMULATION | IMAGE PROCESSING | IMAGES | TIME RESOLUTION | ITERATIVE METHODS | Medical Physics Letter
Journal Article
Medical Physics, ISSN 0094-2405, 02/2013, Volume 40, Issue 2, pp. 021902 - n/a
.... This paper studies the performance of a scheme called dose reduction using prior image constrained compressed sensing (DR-PICCS... 
Medical image noise | compressed sensing | Image coding, e.g. from bit‐mapped to non bit‐mapped | X‐ray imaging | Noise | statistical image reconstruction | CT dose reduction | Digital computing or data processing equipment or methods, specially adapted for specific applications | optical transfer function | Computed tomography | Diffusion | Computerised tomographs | medical image processing | Reconstruction | data compression | Medical imaging | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | image quality evaluation | filters | image reconstruction | Contrast | image denoising | computerised tomography | Image data processing or generation, in general | Anisotropy | Statistical model calculations | Medical image reconstruction | Methods or arrangements for processing data by operating upon the order or content of the data handled | Medical image spatial resolution | image coding | Spatial resolution | computed tomography | TEMPORAL RESOLUTION | SPATIAL-RESOLUTION PROPERTIES | PERFORMANCE | NOISE | BEAM COMPUTED-TOMOGRAPHY | ALGORITHMS | DUAL-ENERGY CT | ORDERED SUBSETS | ITERATIVE RECONSTRUCTION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Algorithms | Animals | Signal-To-Noise Ratio | Tomography, X-Ray Computed - methods | Statistics as Topic | Image Processing, Computer-Assisted - methods | Radiation Dosage | PATIENTS | SPATIAL RESOLUTION | FILTERS | EVALUATION | IN VIVO | STATISTICAL MODELS | SPATIAL DISTRIBUTION | 60 APPLIED LIFE SCIENCES | ANISOTROPY | CAT SCANNING | COMPUTERIZED SIMULATION | IMAGE PROCESSING | DOSES | IMAGES | X-RAY DETECTION | RADIOLOGY AND NUCLEAR MEDICINE | DIFFUSION | PHANTOMS | Radiation Imaging Physics
Journal Article
Medical physics (Lancaster), ISSN 0094-2405, 2014, Volume 42, Issue 1, pp. 314 - 323
Purpose: Different computed tomography (CT) reconstruction techniques offer different image quality attributes of resolution and noise, challenging the ability to compare their dose reduction potential against each... 
iterative methods | Medical image noise | Noise | Image quality assessment | iterative reconstruction | phantoms | Digital computing or data processing equipment or methods, specially adapted for specific applications | Modulation transfer functions | optical transfer function | Computed tomography | feature extraction | edge detection | radiation dose | Dosimetry | Image detection systems | Numerical approximation and analysis | Computerised tomographs | image resolution | medical image processing | Reconstruction | Probability theory, stochastic processes, and statistics | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | Analysis of texture | image reconstruction | Biological material, e.g. blood, urine; Haemocytometers | image denoising | image texture | image quality | computerised tomography | Image data processing or generation, in general | detectability | Medical image reconstruction | statistical analysis | Spatial resolution | computed tomography | CONE-BEAM CT | IMPROVED IMAGE QUALITY | BREAST TOMOSYNTHESIS | HUMAN OBSERVER PERFORMANCE | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | MTF | Tomography, X-Ray Computed - methods | Algorithms | Radiation Dosage | Phantoms, Imaging | Tomography, X-Ray Computed - instrumentation | SPATIAL RESOLUTION | REDUCTION | NOISE | PHANTOMS | RADIATION DOSES | 60 APPLIED LIFE SCIENCES | CAT SCANNING
Journal Article
Medical Physics, ISSN 0094-2405, 2016, Volume 43, Issue 7, pp. 4065 - 4073
Purpose: Accurate and efficient guidance of medical devices to procedural targets lies at the heart of interventional procedures. Ultrasound imaging is... 
needles | Medical image noise | Image coding, e.g. from bit‐mapped to non bit‐mapped | Noise | biomedical ultrasonics | Pulse compression | medical device tracking | Biomedical instrumentation and transducers, including micro‐electro‐mechanical systems (MEMS) | Digital computing or data processing equipment or methods, specially adapted for specific applications | Ultrasonographic imaging | Processes or apparatus for generating mechanical vibrations of infrasonic, sonic or ultrasonic frequency | Ultrasonography | medical image processing | ultrasound imaging | Biomedical equipment | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | Diagnosis using ultrasonic, sonic or infrasonic waves | coded excitation | Biological material, e.g. blood, urine; Haemocytometers | image denoising | cardiology | Microphones | image guided interventions | fiber optic hydrophone | biomedical transducers | Image data processing or generation, in general | Cardiac dynamics | Medical image spatial resolution | image coding | ultrasonic imaging | ultrasonic transducers | VISUALIZATION | SYSTEM | MEDICAL ULTRASOUND | HYDROPHONE | TIP LOCALIZATION | REGIONAL ANESTHESIA | GUIDANCE | INJECTION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | PLEXUS BLOCK | Sheep, Domestic | Image Processing, Computer-Assisted - methods | Equipment Design | Pregnancy | Artifacts | Algorithms | Animals | Brachial Plexus - diagnostic imaging | Female | Needles | Uterus - diagnostic imaging | Fiber Optic Technology | Ultrasonography - methods
Journal Article
Medical Physics, ISSN 0094-2405, 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 | MULTISLICE | DOSE-REDUCTION | IMAGE-RECONSTRUCTION | ALGORITHMS | TUBE CURRENT MODULATION | SIMULATION | GRAPHICS HARDWARE | CONE-BEAM CT | RAY COMPUTED-TOMOGRAPHY | HELICAL CT | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Computer Graphics | Reproducibility of Results | Algorithms | Time Factors | Signal-To-Noise Ratio | Tomography, X-Ray Computed - methods | Image Processing, Computer-Assisted - methods | Phantoms, Imaging | IMAGE PROCESSING | SPATIAL RESOLUTION | BIOMEDICAL RADIOGRAPHY | IMAGES | RADIOLOGY AND NUCLEAR MEDICINE | PHANTOMS | RADIATION DOSES | COMPUTERIZED TOMOGRAPHY
Journal Article
Medical Physics, ISSN 0094-2405, 07/2012, Volume 39, Issue 7, pp. 4051 - 4065
... statistics-based sinogram restoration or statistical iterative image reconstruction. In this paper, the authors analyzed the statistical moments of low-dose CT data in the presence of electronic noise background. Methods... 
Poisson's equation | iterative methods | Medical image noise | transmission domain | Noise | phantoms | x‐ray computed tomography | Digital computing or data processing equipment or methods, specially adapted for specific applications | Computed tomography | image restoration | X‐ray generation | fluctuations | noise model | Numerical approximation and analysis | Computerised tomographs | medical image processing | Reconstruction | Medical imaging | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | Photons | image reconstruction | sinogram domain | X‐ray detectors | Calibration | image denoising | computerised tomography | Image data processing or generation, in general | Medical image reconstruction | General statistical methods | statistical analysis | low‐dose imaging | low-dose imaging | x-ray computed tomography | REDUCTION | IMAGE-RECONSTRUCTION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | COMPUTED-TOMOGRAPHY | LIKELIHOOD | Artifacts | Data Interpretation, Statistical | Reproducibility of Results | Electromagnetic Fields | Radiographic Image Interpretation, Computer-Assisted - methods | Analysis of Variance | Sensitivity and Specificity | Signal-To-Noise Ratio | Radiographic Image Enhancement - methods | Electronics | Tomography, X-Ray Computed | Radiation Imaging Physics
Journal Article
Medical physics (Lancaster), ISSN 0094-2405, 2012, Volume 39, Issue 12, pp. 7262 - 7271
.... The authors present experimental and image reconstruction methods with which 2D SOS distributions can be accurately acquired and reconstructed, and with which the SOS map can be used subsequently... 
acoustic attenuation | iterative methods | Medical image quality | acoustic velocity | acoustic tomography | biomedical ultrasonics | Tissues | phantoms | Digital computing or data processing equipment or methods, specially adapted for specific applications | Acoustic wave front reconstruction | Ultrasonographic imaging | Computed tomography | image restoration | Speed of sound | Registration | Ultrasonography | Tomography | Computerised tomographs | image resolution | medical image processing | photoacoustic tomography | Artifacts and distortion | Reconstruction | ultrasonic propagation | ultrasound computed tomography | photoacoustic effect | Medical imaging | Kidneys | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | Diagnosis using ultrasonic, sonic or infrasonic waves | biological tissues | image reconstruction | computerised tomography | photoacoustic imaging | Image data processing or generation, in general | Medical image reconstruction | minimisation | Spatial resolution | ultrasonic imaging | RECONSTRUCTION | VASCULATURE | ALGORITHM | MAMMOSCOPE | ULTRASOUND COMPUTED-TOMOGRAPHY | THERMOACOUSTIC TOMOGRAPHY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Elasticity Imaging Techniques - methods | Artifacts | Reproducibility of Results | Algorithms | Image Interpretation, Computer-Assisted - methods | Sensitivity and Specificity | Tomography, Optical - methods | Image Enhancement - methods | Photoacoustic Techniques | Physics - Medical Physics
Journal Article
Medical physics (Lancaster), ISSN 0094-2405, 2015, Volume 43, Issue 1, pp. 424 - 435
.... In this paper, the authors explore how nanoparticle relaxation affects image resolution. Historically, researchers have analyzed nanoparticle behavior by studying the time constant of the nanoparticle physical rotation... 
drive field | cellular biophysics | Angiography | Iron | iron compounds | Nano‐magnetism, e.g. magnetoimpedance, anisotropic magnetoresistance, giant magnetoresistance or tunneling magnetoresistance | magnetic nanoparticles | Digital computing or data processing equipment or methods, specially adapted for specific applications | nanoparticles | image restoration | Nanotechnologies‐applications | Non adiabatic reactions | Langevin equation | ferrofluid relaxation | image resolution | image sequences | medical image processing | Nano‐biotechnology or nano‐medicine, e.g. protein engineering or drug delivery | magnetic particle imaging | Reconstruction | Image scanners | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | relaxation | Cell processes | nanomedicine | phase lag | Biological material, e.g. blood, urine; Haemocytometers | magnetic particles | superparamagnetism | Relaxation times | nanomagnetics | Image data processing or generation, in general | cancer | Magnetic fields | Spatial resolution | Nano‐structures | ROTATION | DOMAIN | SENSITIVITY | FERROFLUIDS | IRON-OXIDE | NANOPARTICLES | THERAPY | IN-VIVO | CHRONIC KIDNEY-DISEASE | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Nanoparticles | Algorithms | Molecular Imaging - instrumentation | Signal-To-Noise Ratio | Ferric Compounds - chemistry | Molecular Imaging - methods | Image Enhancement - methods | Imaging, Three-Dimensional | Magnets | EMERGING IMAGING AND THERAPY MODALITIES
Journal Article
Medical Physics, ISSN 0094-2405, 10/2015, Volume 42, Issue 10, pp. 6062 - 6073
Journal Article
Medical Physics, ISSN 0094-2405, 04/2012, Volume 39, Issue 4, pp. 2090 - 2099
...) x-ray source array, which generates all the projection images needed for tomosynthesis reconstruction by electronically activating individual x-ray sources without any mechanical motion... 
digital breast tomosynthesis | breast cancer | carbon nanotube x-ray | s-DBT | Vacuum tubes | Segmentation | Digital tomosynthesis mammography | Details of electrodes, of magnetic control means, of screens, or of the mounting or spacing thereof, common to two or more basic types of discharge tubes or lamps | Devices sensitive to very short wavelength, e.g. x‐rays, gamma‐rays or corpuscular radiation | image scanners | phantoms | Digital computing or data processing equipment or methods, specially adapted for specific applications | s‐DBT | carbon nanotubes | image restoration | Medical X‐ray imaging | image resolution | medical image processing | Reconstruction | X‐ray optics | Medical imaging | Nanotube devices | mammography | Image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image | X‐ray technique | biological tissues | diagnostic radiography | image reconstruction | X‐ray tubes | X‐ray detectors | field emission | cathode‐ray tubes | Image data processing or generation, in general | Scanning, transmission or reproduction of documents or the like, e.g. facsimile transmission; Details thereof | carbon nanotube x‐ray | Digital radiography | Transforming x‐rays | Spatial resolution | Anodes | Nano‐structures | Cathodes | MAMMOGRAPHY | SYSTEM | DESIGN | FLAT-PANEL DETECTOR | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | SELENIUM | Reproducibility of Results | Nanotubes, Carbon | X-Rays | Mammography - instrumentation | Sensitivity and Specificity | Image Enhancement - instrumentation | Computer-Aided Design | Phantoms, Imaging | Equipment Design | Equipment Failure Analysis | Tomography, X-Ray Computed - instrumentation | INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY | X RADIATION | CATHODE RAY TUBES | SPATIAL RESOLUTION | MAMMARY GLANDS | NEOPLASMS | BIOMEDICAL RADIOGRAPHY | BEAMS | STABILITY | RADIATION DOSES | SIMULATION | READOUT SYSTEMS | CARBON NANOTUBES | LIFETIME | X-RAY SOURCES | X-RAY TUBES | IMAGE PROCESSING | INTERFACES | RADIOLOGY AND NUCLEAR MEDICINE | DETECTION | IMAGE SCANNERS | Radiation Imaging Physics
Journal Article
Medical Physics, ISSN 0094-2405, 05/2013, Volume 40, Issue 5, pp. 051907 - n/a
Journal Article
Medical physics (Lancaster), ISSN 0094-2405, 2014, Volume 41, Issue 10, pp. 101903 - n/a
...) has been widely investigated, as it reflects tumor cellularity and proliferation. The aim of this study was to investigate texture analysis of ADC images in conjunction... 
ADC | biomedical MRI | Matrix theory | Multivariate analysis | biodiffusion | Digital computing or data processing equipment or methods, specially adapted for specific applications | Cell growth | image enhancement | Involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging | Diffusion | tumours | medical image processing | Image registration | 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 | Analysis of texture | Spatial analysis | Biological material, e.g. blood, urine; Haemocytometers | image texture | matrix algebra | Image analysis | Magnetic resonance imaging | Image data processing or generation, in general | radiation therapy | glioma | cancer | multivariate image analysis | principal component analysis | texture analysis | DIFFUSION-WEIGHTED MRI | CONTRAST-ENHANCED MRI | PRINCIPAL COMPONENT ANALYSIS | NEWLY-DIAGNOSED GLIOBLASTOMA | FEATURES | HETEROGENEITY | MAPS FDMS | TREATMENT RESPONSE | MALIGNANT GLIOMAS | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | BRAIN | Multivariate Analysis | Prognosis | Age Factors | Follow-Up Studies | Glioma - diagnosis | Dacarbazine - therapeutic use | Humans | Image Interpretation, Computer-Assisted - methods | Middle Aged | Brain Neoplasms - pathology | Chemoradiotherapy, Adjuvant | Glioma - radiotherapy | Neoplasm Grading | Glioma - pathology | Dacarbazine - analogs & derivatives | Adult | Brain Neoplasms - radiotherapy | Principal Component Analysis | Brain Neoplasms - diagnosis | Treatment Outcome | Brain - radiation effects | Brain Neoplasms - drug therapy | Disease Progression | Antineoplastic Agents, Alkylating - therapeutic use | Brain - drug effects | Survival Analysis | Brain - pathology | Aged | Diffusion Magnetic Resonance Imaging - methods | Glioma - drug therapy | GLIOMAS | SURGERY | DIAGNOSIS | PATIENTS | IMAGE PROCESSING | NMR IMAGING | BIOLOGICAL MARKERS | RADIOTHERAPY | 60 APPLIED LIFE SCIENCES
Journal Article