X
Search Filters
Format Format
Subjects Subjects
Subjects Subjects
X
Sort by Item Count (A-Z)
Filter by Count
biological material, e.g. blood, urine; haemocytometers (1368) 1368
radiology, nuclear medicine & medical imaging (1308) 1308
digital computing or data processing equipment or methods, specially adapted for specific applications (999) 999
image data processing or generation, in general (981) 981
medical image processing (967) 967
humans (951) 951
computed tomography (711) 711
computerised tomographs (622) 622
computerised tomography (621) 621
algorithms (565) 565
60 applied life sciences (560) 560
phantoms (556) 556
phantoms, imaging (528) 528
cancer (520) 520
scintigraphy (512) 512
dosimetry (452) 452
image reconstruction (442) 442
medical image reconstruction (419) 419
medical imaging (398) 398
radiation therapy (397) 397
reconstruction (388) 388
radiology and nuclear medicine (331) 331
radiotherapy (325) 325
biomedical mri (313) 313
involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging (313) 313
radiation protection and dosimetry (298) 298
computerized tomography (292) 292
tissues (291) 291
medical image noise (290) 290
magnetic resonance imaging (283) 283
image processing, computer-assisted - methods (277) 277
tumours (270) 270
image processing (267) 267
male (252) 252
patients (252) 252
segmentation (250) 250
accuracy (246) 246
computer simulation (244) 244
biomedical radiography (241) 241
image segmentation (236) 236
tomography, x-ray computed - methods (236) 236
dosimetry/exposure assessment (232) 232
female (229) 229
lungs (225) 225
neoplasms (217) 217
spatial resolution (214) 214
radiation doses (208) 208
image sensors (205) 205
noise (203) 203
medical image segmentation (197) 197
radiation dosage (187) 187
registration (187) 187
lung (186) 186
image registration (185) 185
photons (184) 184
monte carlo methods (181) 181
therapeutic applications, including brachytherapy (175) 175
diagnostic radiography (173) 173
monte carlo method (173) 173
calibration (170) 170
image enhancement or restoration, e.g. from bit‐mapped to bit‐mapped creating a similar image (167) 167
medical x‐ray imaging (164) 164
computed-tomography (163) 163
medical image contrast (159) 159
animals (158) 158
image resolution (156) 156
three dimensional image processing (156) 156
image analysis (154) 154
positron emission tomography (154) 154
simulation (151) 151
dose‐volume analysis (150) 150
reproducibility of results (148) 148
models, biological (147) 147
measuring half‐life of a radioactive substance (146) 146
magnetic resonance imaging - methods (145) 145
ultrasonography (144) 144
signal-to-noise ratio (142) 142
biological tissues (140) 140
nmr imaging (140) 140
image scanners (139) 139
medical image artifacts (139) 139
mammography (137) 137
radiation imaging physics (136) 136
motion (131) 131
comparative evaluations (130) 130
imaging, three-dimensional - methods (129) 129
middle aged (129) 129
brain (128) 128
optimization (128) 128
equipment design (127) 127
cone beam computed tomography (126) 126
iterative methods (126) 126
image denoising (125) 125
system (125) 125
x‐ray imaging (123) 123
biomedical ultrasonics (121) 121
clinical applications (121) 121
diagnosis using ultrasonic, sonic or infrasonic waves (121) 121
more...
Language Language
Publication Date Publication Date
Click on a bar to filter by decade
Slide to change publication date range


Journal Article
Medical physics (Lancaster), ISSN 0094-2405, 2016, Volume 43, Issue 5, pp. 2334 - 2343
Purpose: The GE SIGNA PET/MR is a new whole body integrated time-of-flight (ToF)-PET/MR scanner from GE Healthcare. The system is capable of simultaneous PET... 
biomedical MRI | Medical image quality | Image scanners | Positron emission tomography (PET) | silicon photomultiplier | PET/MR | RF interference | Biological material, e.g. blood, urine; Haemocytometers | Scintigraphy | Image reconstruction | NEMA | Image sensors | Magnetic resonance imaging | Involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging | Measuring half‐life of a radioactive substance | time of flight spectrometers | Measuring neutron radiation | Medical image reconstruction | Germanium | positron emission tomography | Spatial resolution | DESIGN | MRI | RECONSTRUCTION | QUANTIFICATION | DETECTOR | ATTENUATION CORRECTION | SCANNER | WHOLE-BODY PET/MR | IMAGE QUALITY | OF-FLIGHT PET | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Temperature | Humans | Magnetic Resonance Imaging - methods | Multimodal Imaging - instrumentation | Positron-Emission Tomography - methods | Positron-Emission Tomography - instrumentation | Equipment Design | Magnetic Resonance Imaging - instrumentation | Time Factors | Multimodal Imaging - methods | Whole Body Imaging - instrumentation | Fluorodeoxyglucose F18 | Scattering, Radiation | Phantoms, Imaging | Radiopharmaceuticals | Whole Body Imaging - methods | CORRECTIONS | ERRORS | SPATIAL RESOLUTION | BIOMEDICAL RADIOGRAPHY | PERFORMANCE | RADIATION PROTECTION AND DOSIMETRY | SENSITIVITY | DATA ACQUISITION | 60 APPLIED LIFE SCIENCES | CONCENTRATION RATIO | ACCURACY | TIME-OF-FLIGHT METHOD | COUNTING RATES | NMR IMAGING | IMAGES | POSITRON COMPUTED TOMOGRAPHY | TIME RESOLUTION | ATTENUATION
Journal Article
Medical physics (Lancaster), ISSN 0094-2405, 2014, Volume 41, Issue 6Part1, pp. 064301 - n/a
Journal Article
Medical physics (Lancaster), ISSN 0094-2405, 07/2015, Volume 42, Issue 7, pp. 4349 - 4366
Journal Article
Medical physics (Lancaster), ISSN 0094-2405, 2015, Volume 42, Issue 4, pp. 1596 - 1605
Purpose: In radiotherapy (RT) based on magnetic resonance imaging (MRI) as the only modality, the information on electron density must be derived from the MRI... 
biomedical MRI | magnetic resonance imaging | dosimetry | image registration | Scintigraphy | Tissues | Digital computing or data processing equipment or methods, specially adapted for specific applications | Databases | Computed tomography | Involving electronic [emr] or nuclear [nmr] magnetic resonance, e.g. magnetic resonance imaging | Clinical applications | Registration | pseudo CT | Charge transfer | Computerised tomographs | image sequences | medical image processing | Medical imaging | patches | MRI‐only | bone | Giant magnetoresistance | Photons | Biological material, e.g. blood, urine; Haemocytometers | brain | computerised tomography | Image data processing or generation, in general | radiotherapy | MRI-only | PROSTATE | QUALITY | ATTENUATION CORRECTION | TIME | DELINEATION | PET/MRI | SEGMENTATION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Brain - diagnostic imaging | Atlases as Topic | Humans | Middle Aged | Magnetic Resonance Imaging - methods | Tomography, X-Ray Computed - methods | Male | Head - pathology | Photons - therapeutic use | Algorithms | Radiotherapy, Image-Guided - methods | Aged, 80 and over | Brain - pathology | Head - diagnostic imaging | Female | Radiometry | Aged | HEAD | PATIENTS | NMR IMAGING | ELECTRON DENSITY | RADIOTHERAPY | COMPARATIVE EVALUATIONS | 60 APPLIED LIFE SCIENCES | COMPUTERIZED TOMOGRAPHY | BRAIN | ACCURACY | GEOMETRY
Journal Article
Medical physics (Lancaster), ISSN 0094-2405, 2015, Volume 42, Issue 12, pp. 6784 - 6797
Purpose: Increasing evidence suggests radiomics features extracted from computed tomography (CT) images may be useful in prognostic models for patients with... 
Medical image quality | cone‐beam CT | phantoms | Digital computing or data processing equipment or methods, specially adapted for specific applications | quantitative imaging features | Computed tomography | feature extraction | linear accelerators | Rubber | Computerised tomographs | medical image processing | Image scanners | Analysis of texture | texture | reproducibility | Analysis of motion | Biological material, e.g. blood, urine; Haemocytometers | image texture | image motion analysis | lung | computerised tomography | Image analysis | Cone beam computed tomography | Lungs | Image data processing or generation, in general | cancer | cone-beam CT | TEXTURAL FEATURES | SURVIVAL | PREDICTS | VOLUME | PROGNOSTIC VALUE | COMPUTED-TOMOGRAPHY | TUMOR HETEROGENEITY | RADIATION-THERAPY | CT TEXTURE | MOTION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Motion | Reproducibility of Results | Humans | Radiography, Thoracic - instrumentation | Cone-Beam Computed Tomography - instrumentation | Radiography, Thoracic - methods | Carcinoma, Non-Small-Cell Lung - diagnostic imaging | Retrospective Studies | Cone-Beam Computed Tomography - methods | Phantoms, Imaging | Respiration | Plant Structures | LINEAR ACCELERATORS | PATIENTS | NEOPLASMS | BIOMEDICAL RADIOGRAPHY | CLINICAL TRIALS | IMAGES | LUNGS | RADIATION DOSE UNITS | PHANTOMS | 60 APPLIED LIFE SCIENCES | COMPUTERIZED TOMOGRAPHY | ENTROPY | 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... 
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 (Lancaster), ISSN 0094-2405, 2016, Volume 43, Issue 6Part1, pp. 2821 - 2827
Purpose: Automated detection of solitary pulmonary nodules using positron emission tomography (PET) and computed tomography (CT) images shows good sensitivity;... 
false‐positive reduction | Medical image quality | Scintigraphy | nodule | Digital computing or data processing equipment or methods, specially adapted for specific applications | Computed tomography | feature extraction | Computer aided diagnosis | Computerised tomographs | medical image processing | Positron emission tomography (PET) | support vector machines | convolutional neural network | Artificial neural networks | Medical image segmentation | Radiologists | Biological material, e.g. blood, urine; Haemocytometers | Inference methods or devices | lung | computer‐aided detection | computerised tomography | Measuring half‐life of a radioactive substance | Lungs | Image data processing or generation, in general | PET/CT | cancer | In which a programme is changed according to experience gained by the computer itself during a complete run; Learning machines | positron emission tomography | false-positive reduction | computer-aided detection | TOMOGRAPHY | GRAPH | CT IMAGES | CANCER | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | LUNG-TUMOR SEGMENTATION | Radiographic Image Interpretation, Computer-Assisted - methods | Humans | Sensitivity and Specificity | Female | Lung Neoplasms - diagnostic imaging | Male | ROC Curve | Lung - diagnostic imaging | Support Vector Machine | Whole Body Imaging - methods | Neural Networks (Computer) | Positron Emission Tomography Computed Tomography - methods | NEURAL NETWORKS | IMAGES | POSITRON COMPUTED TOMOGRAPHY | RADIATION PROTECTION AND DOSIMETRY | SENSITIVITY | 60 APPLIED LIFE SCIENCES | CAT SCANNING
Journal Article
Medical physics (Lancaster), 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) algorithm that is adaptive to local noise... 
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 (Lancaster), ISSN 0094-2405, 2014, Volume 41, Issue 2, pp. 020702 - n/a
Purpose: We report on the clinical process, quality assurance, and geometric and dosimetric results of the first clinical implementation of electromagnetic... 
dosimetry | Responders; Transponders | Conformal radiation treatment | Computer software | MLC tracking | Scintigraphy | Digital computing or data processing equipment or methods, specially adapted for specific applications | Quality assurance | Computed tomography | Quality assurance in radiotherapy | Tissue response | object tracking | Motion compensation | real‐time adaptation | medical image processing | Reconstruction | clinical translation | image reconstruction | Biological material, e.g. blood, urine; Haemocytometers | Electromagnetic therapy | Linear accelerators | Dose‐volume analysis | beam handling techniques | transponders | Multileaf collimators | Image data processing or generation, in general | radiation therapy | Therapeutics | cancer | beam‐tumor targeting | Dosimetry/exposure assessment | real-time adaptation | beam-tumor targeting | SYSTEM | DMLC | MANAGEMENT | COMPENSATION | INTRAFRACTION MOTION | RADIATION-THERAPY | ACCURACY | TARGET TRACKING | TUMOR TRACKING | SIEMENS 160 MLC | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Electromagnetic Phenomena | Algorithms | Radiotherapy Planning, Computer-Assisted - methods | Humans | Radiometry | Software | Quality Control | PROSTATE | PATIENTS | NEOPLASMS | QUALITY ASSURANCE | RECTUM | BEAMS | RADIOLOGY AND NUCLEAR MEDICINE | RADIATION DOSES | RADIOTHERAPY | Medical Physics Letter
Journal Article