2006, ISBN 0387238549, xi, 583
Book
European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, 7/2009, Volume 36, Issue 7, pp. 1025 - 1028
The future multi-parametric molecular imaging will likely be the spotlight of medical practice where early and accurate diagnoses and individualized therapy...
Oncology | Nuclear Medicine | Medicine & Public Health | Cardiology | Imaging / Radiology | Orthopedics | Diagnostic Imaging - methods | Diagnostic Imaging - trends | Diagnostic Imaging - instrumentation | Humans | Molecular biology | Nuclear medicine | Medical imaging
Oncology | Nuclear Medicine | Medicine & Public Health | Cardiology | Imaging / Radiology | Orthopedics | Diagnostic Imaging - methods | Diagnostic Imaging - trends | Diagnostic Imaging - instrumentation | Humans | Molecular biology | Nuclear medicine | Medical imaging
Journal Article
2017 IEEE Global Engineering Education Conference (EDUCON), ISSN 2165-9559, 04/2017, pp. 1876 - 1880
Energy crises, identified as a global challenge, need to be addressed immediately and are a part of the curriculum, and the focus of the agenda in a newly...
Renewable energy sources | critical thinking | Photovoltaic cells | Renewable energy | hands-on learning | Education | integrated approach | alternative energy resources | Fossil fuels | Complexity theory | multidisciplinary curriculum | Meteorology | Hands-on learning | Alternative energy resources | Integrated approach | Critical thinking | Multidisciplinary curriculum
Renewable energy sources | critical thinking | Photovoltaic cells | Renewable energy | hands-on learning | Education | integrated approach | alternative energy resources | Fossil fuels | Complexity theory | multidisciplinary curriculum | Meteorology | Hands-on learning | Alternative energy resources | Integrated approach | Critical thinking | Multidisciplinary curriculum
Conference Proceeding
British Journal of Radiology, ISSN 0007-1285, 2018, Volume 91, Issue 1081
Journal Article
2003, Series in medical physics and biomedical engineering., ISBN 0750308168, xx, 364
Book
The Journal of Nuclear Medicine, ISSN 0161-5505, 05/2019, Volume 60
Objectives: The conceptus dose during diagnostic radiology (CT) and nuclear medicine imaging procedures of pregnant patients raises health concerns owing to...
Nuclear medicine | Radiosensitivity | Segmentation | Image processing | Metric space | Radiation | Uterus | Computed tomography | Risk assessment | Mathematical models | Dosimetry | Emergency medical services | Construction | Automation | Medical imaging | Computer simulation | Decision making | Fetuses | Organs | Embryos | Patients | Radiation dosage | Pregnancy | Image segmentation | Algorithms | Lungs | Computation | Neural networks | Computer applications | Radiology | Diagnostic systems
Nuclear medicine | Radiosensitivity | Segmentation | Image processing | Metric space | Radiation | Uterus | Computed tomography | Risk assessment | Mathematical models | Dosimetry | Emergency medical services | Construction | Automation | Medical imaging | Computer simulation | Decision making | Fetuses | Organs | Embryos | Patients | Radiation dosage | Pregnancy | Image segmentation | Algorithms | Lungs | Computation | Neural networks | Computer applications | Radiology | Diagnostic systems
Journal Article
European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, 11/2010, Volume 37, Issue 11, pp. 2165 - 2187
Historically, anatomical CT and MR images were used to delineate the gross tumour volumes (GTVs) for radiotherapy treatment planning. The capabilities offered...
Validation | Radiation therapy | Segmentation | Treatment planning | PET | FDG-PET | GROSS TUMOR VOLUME | INTENSITY-MODULATED RADIOTHERAPY | OF-THE-ART | NECK-CANCER | CELL LUNG-CANCER | MONTE-CARLO SIMULATOR | C-MEANS ALGORITHM | POSITRON-EMISSION-TOMOGRAPHY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | HIGH-GRADE GLIOMA | Reproducibility of Results | Animals | Radiotherapy Planning, Computer-Assisted - methods | Humans | Tomography, X-Ray Computed | Data Collection | Image Processing, Computer-Assisted - methods | Positron-Emission Tomography - methods | Surveys | Medical colleges | CT imaging | Pets | Neurosciences | Image processing | Radiation | Radiotherapy | Methods | Tumors | Tomography | Nuclear medicine | Medical imaging | Image processing systems
Validation | Radiation therapy | Segmentation | Treatment planning | PET | FDG-PET | GROSS TUMOR VOLUME | INTENSITY-MODULATED RADIOTHERAPY | OF-THE-ART | NECK-CANCER | CELL LUNG-CANCER | MONTE-CARLO SIMULATOR | C-MEANS ALGORITHM | POSITRON-EMISSION-TOMOGRAPHY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | HIGH-GRADE GLIOMA | Reproducibility of Results | Animals | Radiotherapy Planning, Computer-Assisted - methods | Humans | Tomography, X-Ray Computed | Data Collection | Image Processing, Computer-Assisted - methods | Positron-Emission Tomography - methods | Surveys | Medical colleges | CT imaging | Pets | Neurosciences | Image processing | Radiation | Radiotherapy | Methods | Tumors | Tomography | Nuclear medicine | Medical imaging | Image processing systems
Journal Article
2014, ISBN 1493908936
Web Resource
British Journal of Radiology, ISSN 0007-1285, 2018, Volume 91, Issue 1081
Journal Article
European Radiology, ISSN 0938-7994, 12/2019, Volume 29, Issue 12, pp. 6805 - 6815
The conceptus dose during diagnostic imaging procedures for pregnant patients raises health concerns owing to the high radiosensitivity of the developing...
Medicine & Public Health | Diagnostic Radiology | Internal Medicine | Radiation dosimetry | Interventional Radiology | Imaging / Radiology | Multidetector-row computed tomography | Ultrasound | Radiologic phantoms | Neuroradiology | Patient-specific computational modeling | Nuclear medicine | Radiosensitivity | Segmentation | Image processing | Metric space | Methodology | Radiation hazards | Radiation | Uterus | Computed tomography | Risk assessment | Mathematical models | Dosimetry | Construction | Automation | Medical imaging | Computer simulation | Decision making | Fetuses | Artificial neural networks | Organs | Hazards | Risk analysis | Embryos | Radiation dosage | Pregnancy | Image segmentation | Algorithms | Lungs | Computation | Neural networks | Computer applications | Radiology | Diagnostic systems
Medicine & Public Health | Diagnostic Radiology | Internal Medicine | Radiation dosimetry | Interventional Radiology | Imaging / Radiology | Multidetector-row computed tomography | Ultrasound | Radiologic phantoms | Neuroradiology | Patient-specific computational modeling | Nuclear medicine | Radiosensitivity | Segmentation | Image processing | Metric space | Methodology | Radiation hazards | Radiation | Uterus | Computed tomography | Risk assessment | Mathematical models | Dosimetry | Construction | Automation | Medical imaging | Computer simulation | Decision making | Fetuses | Artificial neural networks | Organs | Hazards | Risk analysis | Embryos | Radiation dosage | Pregnancy | Image segmentation | Algorithms | Lungs | Computation | Neural networks | Computer applications | Radiology | Diagnostic systems
Journal Article
The Journal of Nuclear Medicine, ISSN 0161-5505, 05/2017, Volume 58, p. 616
Objectives: Positron emission tomography (PET) images commonly suffer from the high noise level, thus resulting in poor signal-to-noise ratio (SNR). This...
Nuclear medicine | Medical imaging | Filtration | Computer simulation | Image processing | Noise | Noise reduction | Bias | Positron emission | Image reconstruction | Wavelet | Filters | Spatial smoothing | Tomography | Mathematical models | Lesions | Image filters | Positron emission tomography | Signal to noise ratio | Image contrast
Nuclear medicine | Medical imaging | Filtration | Computer simulation | Image processing | Noise | Noise reduction | Bias | Positron emission | Image reconstruction | Wavelet | Filters | Spatial smoothing | Tomography | Mathematical models | Lesions | Image filters | Positron emission tomography | Signal to noise ratio | Image contrast
Journal Article
British journal of radiology, ISSN 0007-1285, 2018, Volume 91, Issue 1081, p. 20170871
Journal Article
Medical Physics, ISSN 0094-2405, 10/2016, Volume 43, Issue 11, pp. 5848 - 5861
Journal Article
Radiology, ISSN 0033-8419, 09/2007, Volume 244, Issue 3, pp. 639 - 642
DESIGN | LUNG SEGMENTATION | IMAGES | EMISSION-TOMOGRAPHY | SCANNER | SIMULATION | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | BRAIN | Tomography, Emission-Computed - instrumentation | Animals | Magnetic Resonance Imaging - instrumentation | Humans | Fluorodeoxyglucose F18 | Image Enhancement - methods | Mice | Radiopharmaceuticals | Equipment Design
Journal Article
Medical Image Analysis, ISSN 1361-8415, 02/2017, Volume 36, p. 98
We evaluate the accuracy of whole-body bone extraction from whole-body MR images using a number of atlas-based segmentation methods. The motivation behind this...
Atlas | Nuclear magnetic resonance--NMR | Medical imaging | Similarity | Segmentation | Image processing | Noise reduction | Positron emission | Images | Ground truth | Optimization | Image segmentation | Weighting | Motivation | Magnetic resonance imaging | Computed tomography | Mathematical analysis | Information processing | Tomography | Bones | Extraction | Bone
Atlas | Nuclear magnetic resonance--NMR | Medical imaging | Similarity | Segmentation | Image processing | Noise reduction | Positron emission | Images | Ground truth | Optimization | Image segmentation | Weighting | Motivation | Magnetic resonance imaging | Computed tomography | Mathematical analysis | Information processing | Tomography | Bones | Extraction | Bone
Journal Article
Scientific Reports, ISSN 2045-2322, 2018, Volume 8, Issue 1, pp. 12339 - 9
The introduction of digital CXR with automated computer-aided interpretation, has given impetus to the role of CXR in TB screening, particularly in low...
PULMONARY TUBERCULOSIS | IMPACT | ASSAY | XPERT MTB/RIF | MULTIDISCIPLINARY SCIENCES | Radiography | Data processing | Accuracy | Demography | Tuberculosis | Patients
PULMONARY TUBERCULOSIS | IMPACT | ASSAY | XPERT MTB/RIF | MULTIDISCIPLINARY SCIENCES | Radiography | Data processing | Accuracy | Demography | Tuberculosis | Patients
Journal Article
European journal of nuclear medicine and molecular imaging, 10/2016, Volume 43, Issue 11, p. 2021
The outcome of a detailed assessment of various strategies for atlas-based whole-body bone segmentation from magnetic resonance imaging (MRI) was exploited to...
Reproducibility of Results | Humans | Image Interpretation, Computer-Assisted - methods | Magnetic Resonance Imaging - methods | Tomography, X-Ray Computed - methods | Male | Positron-Emission Tomography - methods | Subtraction Technique | Artifacts | Algorithms | Bone and Bones - diagnostic imaging | Sensitivity and Specificity | Multimodal Imaging - methods | Female | Aged | Image Enhancement - methods | Whole Body Imaging - methods | Pattern Recognition, Automated - methods
Reproducibility of Results | Humans | Image Interpretation, Computer-Assisted - methods | Magnetic Resonance Imaging - methods | Tomography, X-Ray Computed - methods | Male | Positron-Emission Tomography - methods | Subtraction Technique | Artifacts | Algorithms | Bone and Bones - diagnostic imaging | Sensitivity and Specificity | Multimodal Imaging - methods | Female | Aged | Image Enhancement - methods | Whole Body Imaging - methods | Pattern Recognition, Automated - methods
Journal Article
Medical Physics, ISSN 0094-2405, 12/2015, Volume 43, Issue 1, pp. 111 - 131
Journal Article
Journal of Nuclear Medicine, ISSN 0161-5505, 06/2015, Volume 56, Issue 6, pp. 877 - 877
The joint maximum-likelihood reconstruction of activity and attenuation (MLAA) for emission-based attenuation correction has regained attention since the...
Journal Article
The Journal of Nuclear Medicine, ISSN 0161-5505, 06/2015, Volume 56, Issue 6, p. 877
The joint maximum-likelihood reconstruction of activity and attenuation (MLAA) for emission-based attenuation correction has regained attention since the...
Nuclear medicine | Algorithms | Radiation | Tomography | Maximum likelihood method
Nuclear medicine | Algorithms | Radiation | Tomography | Maximum likelihood method
Journal Article
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