Proceedings of the International Conference on Offshore Mechanics and Arctic Engineering - OMAE, 2014, Volume 9A
Conference Proceeding
European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, 01/2017, Volume 44, Issue 1, pp. 151 - 165
After seminal papers over the period 2009 - 2011, the use of texture analysis of PET/CT images for quantification of intratumour uptake heterogeneity has...
Recommendations | Heterogeneity | Image texture | Critical review | PET/CT | Animals | Positron Emission Tomography Computed Tomography - trends | Imaging, Three-Dimensional - trends | Humans | Image Enhancement - methods | Evidence-Based Medicine | Forecasting | Tomography | Medical diagnosis | Cancer | Life Sciences | Bioengineering | Nuclear medicine
Recommendations | Heterogeneity | Image texture | Critical review | PET/CT | Animals | Positron Emission Tomography Computed Tomography - trends | Imaging, Three-Dimensional - trends | Humans | Image Enhancement - methods | Evidence-Based Medicine | Forecasting | Tomography | Medical diagnosis | Cancer | Life Sciences | Bioengineering | Nuclear medicine
Journal Article
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Full Text
A Fuzzy Locally Adaptive Bayesian Segmentation Approach for Volume Determination in PET
IEEE Transactions on Medical Imaging, ISSN 0278-0062, 06/2009, Volume 28, Issue 6, pp. 881 - 893
Accurate volume estimation in positron emission tomography (PET) is crucial for different oncology applications. The objective of our study was to develop a...
positron emission tomography (PET) | IEC | Oncology | Reproducibility of results | volume determination | Noise level | Image quality | Bayesian methods | Hidden Markov models | Imaging phantoms | segmentation | Lesions | Positron emission tomography | Positron emission tomography (PET) | Segmentation | Volume determination | DEFINITION | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | IMAGE | ENGINEERING, BIOMEDICAL | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | ENGINEERING, ELECTRICAL & ELECTRONIC | Markov Chains | Reproducibility of Results | Algorithms | Computer Simulation | Humans | Bayes Theorem | Image Processing, Computer-Assisted - methods | Positron-Emission Tomography - methods | Neoplasms - diagnostic imaging | Fuzzy Logic | Normal Distribution | Fuzzy logic | Bayesian statistical decision theory | PET imaging | Fuzzy algorithms | Research | Adaptive control | Methods | Fuzzy systems | Studies | Noise | Bioengineering | Nuclear medicine | Positron-Emission Tomography | Neoplasms | Life Sciences | Image Processing, Computer-Assisted | methods | radionuclide imaging | PET
positron emission tomography (PET) | IEC | Oncology | Reproducibility of results | volume determination | Noise level | Image quality | Bayesian methods | Hidden Markov models | Imaging phantoms | segmentation | Lesions | Positron emission tomography | Positron emission tomography (PET) | Segmentation | Volume determination | DEFINITION | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | IMAGE | ENGINEERING, BIOMEDICAL | IMAGING SCIENCE & PHOTOGRAPHIC TECHNOLOGY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | ENGINEERING, ELECTRICAL & ELECTRONIC | Markov Chains | Reproducibility of Results | Algorithms | Computer Simulation | Humans | Bayes Theorem | Image Processing, Computer-Assisted - methods | Positron-Emission Tomography - methods | Neoplasms - diagnostic imaging | Fuzzy Logic | Normal Distribution | Fuzzy logic | Bayesian statistical decision theory | PET imaging | Fuzzy algorithms | Research | Adaptive control | Methods | Fuzzy systems | Studies | Noise | Bioengineering | Nuclear medicine | Positron-Emission Tomography | Neoplasms | Life Sciences | Image Processing, Computer-Assisted | methods | radionuclide imaging | PET
Journal Article
EUROPEAN JOURNAL OF NUCLEAR MEDICINE AND MOLECULAR IMAGING, ISSN 1619-7070, 01/2017, Volume 44, Issue 1, pp. 151 - 165
After seminal papers over the period 2009 - 2011, the use of texture analysis of PET/CT images for quantification of intratumour uptake heterogeneity has...
FDG-PET | THERAPY RESPONSE | Image texture | QUANTIFYING TUMOR HETEROGENEITY | CERVICAL-CANCER | Recommendations | Heterogeneity | F-18-FDG PET | GRADIENT-BASED METHOD | IMAGING FEATURES | PET/CT | QUANTITATIVE ASSESSMENT | PROGNOSTIC-SIGNIFICANCE | Critical review | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | INTRATUMORAL METABOLIC HETEROGENEITY
FDG-PET | THERAPY RESPONSE | Image texture | QUANTIFYING TUMOR HETEROGENEITY | CERVICAL-CANCER | Recommendations | Heterogeneity | F-18-FDG PET | GRADIENT-BASED METHOD | IMAGING FEATURES | PET/CT | QUANTITATIVE ASSESSMENT | PROGNOSTIC-SIGNIFICANCE | Critical review | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | INTRATUMORAL METABOLIC HETEROGENEITY
Journal Article
European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, 4/2011, Volume 38, Issue 4, pp. 663 - 672
Current state-of-the-art algorithms for functional uptake volume segmentation in PET imaging consist of threshold-based approaches, whose parameters often...
Repeatability | Medicine & Public Health | PET uptake volume determination | Orthopedics | Thresholding | FLAB | Oncology | Robustness | Nuclear Medicine | Cardiology | Imaging / Radiology | DEFINITION | CELL LUNG-CANCER | ONCOLOGY | SEGMENTATION | F-18-FDG | RADIOTHERAPY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | TUMOR VOLUME | Reproducibility of Results | Algorithms | Image Processing, Computer-Assisted - methods | Positron-Emission Tomography - methods | Phantoms, Imaging | Image processing | Pets | Robust control | Medical imaging
Repeatability | Medicine & Public Health | PET uptake volume determination | Orthopedics | Thresholding | FLAB | Oncology | Robustness | Nuclear Medicine | Cardiology | Imaging / Radiology | DEFINITION | CELL LUNG-CANCER | ONCOLOGY | SEGMENTATION | F-18-FDG | RADIOTHERAPY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | TUMOR VOLUME | Reproducibility of Results | Algorithms | Image Processing, Computer-Assisted - methods | Positron-Emission Tomography - methods | Phantoms, Imaging | Image processing | Pets | Robust control | Medical imaging
Journal Article
European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, 7/2016, Volume 43, Issue 8, pp. 1453 - 1460
With 18F-FDG PET/CT, tumor uptake intensity and heterogeneity have been associated with outcome in several cancers. This study aimed at investigating whether...
Heterogeneity | Stereotactic body radiation therapy | Medicine & Public Health | Orthopedics | Textural analysis | 18 F-FDG PET/CT | Non-small cell lung cancer | Prognostic factor | Oncology | Nuclear Medicine | Imaging / Radiology | Cardiology | F-FDG PET/CT | SURVIVAL | UPTAKE HETEROGENEITY | ABLATIVE RADIOTHERAPY | F-18-FDG PET/CT | NSCLC | PROGNOSTIC VALUE | FEATURES | F-18-FDG PET | PRETREATMENT | IMAGES | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | TUMOR VOLUME | Carcinoma, Non-Small-Cell Lung - pathology | Carcinoma, Non-Small-Cell Lung - radiotherapy | Humans | Lung Neoplasms - metabolism | Middle Aged | Carcinoma, Non-Small-Cell Lung - metabolism | Radiosurgery | Lung Neoplasms - radiotherapy | Lung Neoplasms - pathology | Male | Treatment Outcome | Positron Emission Tomography Computed Tomography | Disease-Free Survival | Aged, 80 and over | Female | Fluorodeoxyglucose F18 | Lung Neoplasms - diagnostic imaging | Aged | Carcinoma, Non-Small-Cell Lung - diagnostic imaging | Retrospective Studies | Neoplasm Staging | Glucose metabolism | Prognosis | PET imaging | Analysis | Radiation | Development and progression | Radiotherapy | Lung cancer, Non-small cell | Tomography | Medical imaging | Radiation therapy | Lung cancer | Medical prognosis
Heterogeneity | Stereotactic body radiation therapy | Medicine & Public Health | Orthopedics | Textural analysis | 18 F-FDG PET/CT | Non-small cell lung cancer | Prognostic factor | Oncology | Nuclear Medicine | Imaging / Radiology | Cardiology | F-FDG PET/CT | SURVIVAL | UPTAKE HETEROGENEITY | ABLATIVE RADIOTHERAPY | F-18-FDG PET/CT | NSCLC | PROGNOSTIC VALUE | FEATURES | F-18-FDG PET | PRETREATMENT | IMAGES | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | TUMOR VOLUME | Carcinoma, Non-Small-Cell Lung - pathology | Carcinoma, Non-Small-Cell Lung - radiotherapy | Humans | Lung Neoplasms - metabolism | Middle Aged | Carcinoma, Non-Small-Cell Lung - metabolism | Radiosurgery | Lung Neoplasms - radiotherapy | Lung Neoplasms - pathology | Male | Treatment Outcome | Positron Emission Tomography Computed Tomography | Disease-Free Survival | Aged, 80 and over | Female | Fluorodeoxyglucose F18 | Lung Neoplasms - diagnostic imaging | Aged | Carcinoma, Non-Small-Cell Lung - diagnostic imaging | Retrospective Studies | Neoplasm Staging | Glucose metabolism | Prognosis | PET imaging | Analysis | Radiation | Development and progression | Radiotherapy | Lung cancer, Non-small cell | Tomography | Medical imaging | Radiation therapy | Lung cancer | Medical prognosis
Journal Article
IEEE Transactions on Image Processing, ISSN 1057-7149, 06/2019, Volume 28, Issue 6, pp. 3075 - 3088
We propose a new method for the progressive enhancement of images degraded by noise and blur using shock filters. The originality of our approach lies in the...
Measurement | denoising | Smoothing methods | AWGN | Image edge detection | Electric shock | shock filter | image sharpening | anisotropic diffusion | Image restoration | partial differential equations | Image enhancement | TOMOGRAPHY | RESTORATION | GRADIENT | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | MONTE-CARLO | DECONVOLUTION | PARTIAL VOLUME CORRECTION | EXTERNAL FORCE | MAGNETIC-RESONANCE | PET | Brain | Image segmentation | Medical imaging | Positron emission | Tomography | Sharpening | Image filters | Edge detection
Measurement | denoising | Smoothing methods | AWGN | Image edge detection | Electric shock | shock filter | image sharpening | anisotropic diffusion | Image restoration | partial differential equations | Image enhancement | TOMOGRAPHY | RESTORATION | GRADIENT | COMPUTER SCIENCE, ARTIFICIAL INTELLIGENCE | ENGINEERING, ELECTRICAL & ELECTRONIC | MONTE-CARLO | DECONVOLUTION | PARTIAL VOLUME CORRECTION | EXTERNAL FORCE | MAGNETIC-RESONANCE | PET | Brain | Image segmentation | Medical imaging | Positron emission | Tomography | Sharpening | Image filters | Edge detection
Journal Article
Journal of Nuclear Medicine, ISSN 0161-5505, 05/2012, Volume 53, Issue 5, pp. 693 - 700
(18)F-FDG PET measurement of standardized uptake value (SUV) is increasingly used for monitoring therapy response and predicting outcome. Alternative...
Oncology | Texture analysis | Reproducibility | F-FDG | PET | Reproducibility of Results | Biological Transport | Esophageal Neoplasms - metabolism | Fluorodeoxyglucose F18 - metabolism | Treatment Outcome | Retrospective Studies | Image Processing, Computer-Assisted - methods | Positron-Emission Tomography - methods | Esophageal Neoplasms - therapy | Esophageal Neoplasms - diagnostic imaging | Life Sciences | Bioengineering | Nuclear medicine | Esophageal Neoplasms | Image Processing, Computer-Assisted | Fluorodeoxyglucose F18 | Positron-Emission Tomography | therapy | methods | radionuclide imaging | diagnostic use | metabolism
Oncology | Texture analysis | Reproducibility | F-FDG | PET | Reproducibility of Results | Biological Transport | Esophageal Neoplasms - metabolism | Fluorodeoxyglucose F18 - metabolism | Treatment Outcome | Retrospective Studies | Image Processing, Computer-Assisted - methods | Positron-Emission Tomography - methods | Esophageal Neoplasms - therapy | Esophageal Neoplasms - diagnostic imaging | Life Sciences | Bioengineering | Nuclear medicine | Esophageal Neoplasms | Image Processing, Computer-Assisted | Fluorodeoxyglucose F18 | Positron-Emission Tomography | therapy | methods | radionuclide imaging | diagnostic use | metabolism
Journal Article
Journal of Nuclear Medicine, ISSN 0161-5505, 03/2011, Volume 52, Issue 3, pp. 369 - 378
(18)F-FDG PET is often used in clinical routine for diagnosis, staging, and response to therapy assessment or prediction. The standardized uptake value (SUV)...
F-FDG PET | Predictive value | Response to therapy | Textural analysis | Esophageal cancer | Reproducibility of Results | Prognosis | Humans | Image Interpretation, Computer-Assisted - methods | Middle Aged | Carboplatin - administration & dosage | Male | Treatment Outcome | Combined Modality Therapy | Positron-Emission Tomography - methods | Cisplatin - administration & dosage | Fluorouracil - administration & dosage | Antineoplastic Combined Chemotherapy Protocols - therapeutic use | Sensitivity and Specificity | Aged, 80 and over | Radiotherapy, Conformal | Female | Fluorodeoxyglucose F18 | Aged | Image Enhancement - methods | Esophageal Neoplasms - therapy | Radiopharmaceuticals | Esophageal Neoplasms - diagnostic imaging | Bioengineering | Nuclear medicine | Image Enhancement | Image Interpretation, Computer-Assisted | Positron-Emission Tomography | Life Sciences | Esophageal Neoplasms | Fluorouracil | Antineoplastic Combined Chemotherapy Protocols | Cisplatin | Carboplatin | 18F-FDG PET | esophageal cancer | methods | administration & dosage | diagnostic use | therapy | response to therapy | predictive value | radionuclide imaging | therapeutic use | texture analysis
F-FDG PET | Predictive value | Response to therapy | Textural analysis | Esophageal cancer | Reproducibility of Results | Prognosis | Humans | Image Interpretation, Computer-Assisted - methods | Middle Aged | Carboplatin - administration & dosage | Male | Treatment Outcome | Combined Modality Therapy | Positron-Emission Tomography - methods | Cisplatin - administration & dosage | Fluorouracil - administration & dosage | Antineoplastic Combined Chemotherapy Protocols - therapeutic use | Sensitivity and Specificity | Aged, 80 and over | Radiotherapy, Conformal | Female | Fluorodeoxyglucose F18 | Aged | Image Enhancement - methods | Esophageal Neoplasms - therapy | Radiopharmaceuticals | Esophageal Neoplasms - diagnostic imaging | Bioengineering | Nuclear medicine | Image Enhancement | Image Interpretation, Computer-Assisted | Positron-Emission Tomography | Life Sciences | Esophageal Neoplasms | Fluorouracil | Antineoplastic Combined Chemotherapy Protocols | Cisplatin | Carboplatin | 18F-FDG PET | esophageal cancer | methods | administration & dosage | diagnostic use | therapy | response to therapy | predictive value | radionuclide imaging | therapeutic use | texture analysis
Journal Article
Journal of Nuclear Medicine, ISSN 0161-5505, 01/2015, Volume 56, Issue 1, pp. 38 - 44
Intratumoral uptake heterogeneity in (18)F-FDG PET has been associated with patient treatment outcomes in several cancer types. Textural feature analysis is a...
Heterogeneity | Prognosis | FDG PET/CT | Textural features | Metabolically active tumor volume | Neoplasms - metabolism | Biological Transport | Humans | Survival Analysis | Fluorodeoxyglucose F18 - metabolism | Positron-Emission Tomography | Retrospective Studies | Tumor Burden | Neoplasms - diagnostic imaging | Neoplasms - pathology | Cohort Studies
Heterogeneity | Prognosis | FDG PET/CT | Textural features | Metabolically active tumor volume | Neoplasms - metabolism | Biological Transport | Humans | Survival Analysis | Fluorodeoxyglucose F18 - metabolism | Positron-Emission Tomography | Retrospective Studies | Tumor Burden | Neoplasms - diagnostic imaging | Neoplasms - pathology | Cohort Studies
Journal Article
JOURNAL OF NUCLEAR MEDICINE, ISSN 0161-5505, 09/2019, Volume 60, Issue Suppl 2, pp. 38S - 44S
The aim of this review is to provide readers with an update on the state of the art, pitfalls, solutions for those pitfalls, future perspectives, and...
FDG-PET | QUANTIFICATION | TEXTURE FEATURES | MODEL | machine learning | CANCER | PREDICTION | HETEROGENEITY | radiomics | deep learning | METHODOLOGY | SEGMENTATION | NEURAL-NETWORK | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Nuclear medicine | Image segmentation | Automation | Image processing | Segmentation | Data acquisition | Machine learning
FDG-PET | QUANTIFICATION | TEXTURE FEATURES | MODEL | machine learning | CANCER | PREDICTION | HETEROGENEITY | radiomics | deep learning | METHODOLOGY | SEGMENTATION | NEURAL-NETWORK | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Nuclear medicine | Image segmentation | Automation | Image processing | Segmentation | Data acquisition | Machine learning
Journal Article
European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, 03/2018, Volume 45, Issue 3, pp. 365 - 375
Purpose The aim of this study was to investigate the prognostic value of baseline F-18-FDG PET/CT textural analysis in locally-advanced rectal cancer (LARC)....
Tumor heterogeneity | Rectal cancer | F-FDG PET/CT | Textural analysis | Radiomics | NEOADJUVANT CHEMORADIATION THERAPY | TEXTURAL FEATURES | UPTAKE HETEROGENEITY | F-18-FDG PET/CT | PREOPERATIVE CHEMORADIOTHERAPY | PATHOLOGICAL COMPLETE RESPONSE | RADIATION-THERAPY | CELL LUNG-CANCER | F-18-FDG PET | COLORECTAL-CANCER | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Regional analysis | Colorectal cancer | Regression analysis | Metabolism | Patients | Survival | Texture | K-Ras protein | Quality | Surgery | Rectum | Glycolysis | Homogeneity | Remission | Fatalities | Coarseness | Mutation | Positron emission tomography | Cancer
Tumor heterogeneity | Rectal cancer | F-FDG PET/CT | Textural analysis | Radiomics | NEOADJUVANT CHEMORADIATION THERAPY | TEXTURAL FEATURES | UPTAKE HETEROGENEITY | F-18-FDG PET/CT | PREOPERATIVE CHEMORADIOTHERAPY | PATHOLOGICAL COMPLETE RESPONSE | RADIATION-THERAPY | CELL LUNG-CANCER | F-18-FDG PET | COLORECTAL-CANCER | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Regional analysis | Colorectal cancer | Regression analysis | Metabolism | Patients | Survival | Texture | K-Ras protein | Quality | Surgery | Rectum | Glycolysis | Homogeneity | Remission | Fatalities | Coarseness | Mutation | Positron emission tomography | Cancer
Journal Article
International Journal of Radiation Oncology, Biology, Physics, ISSN 0360-3016, 2010, Volume 77, Issue 1, pp. 301 - 308
Purpose Accurate contouring of positron emission tomography (PET) functional volumes is now considered crucial in image-guided radiotherapy and other oncology...
Radiology | Hematology, Oncology and Palliative Medicine | Automatic segmentation | Image-guided radiotherapy | Heterogeneous functional volumes delineation | Dose painting | DEFINITION | TARGET | TUMOR | CANCER | ONCOLOGY | IMAGES | SEGMENTATION | RADIOTHERAPY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | PET | INTEROBSERVER | Radiotherapy Dosage | Medical Oncology - methods | Markov Chains | Radiotherapy Planning, Computer-Assisted - methods | Humans | Positron-Emission Tomography - methods | Tumor Burden | Neoplasms - diagnostic imaging | Algorithms | Bayes Theorem | Fluorodeoxyglucose F18 | Neoplasms - radiotherapy | Neoplasms - pathology | Radiopharmaceuticals | Fuzzy Logic | TOMOGRAPHY | DIAGNOSTIC TECHNIQUES | NEOPLASMS | EMISSION COMPUTED TOMOGRAPHY | ALGORITHMS | MEDICINE | CT-GUIDED RADIOTHERAPY | COMPUTERIZED TOMOGRAPHY | NUCLEAR MEDICINE | DISEASES | THERAPY | POSITRON COMPUTED TOMOGRAPHY | RADIOLOGY AND NUCLEAR MEDICINE | MATHEMATICAL LOGIC | RADIOLOGY
Radiology | Hematology, Oncology and Palliative Medicine | Automatic segmentation | Image-guided radiotherapy | Heterogeneous functional volumes delineation | Dose painting | DEFINITION | TARGET | TUMOR | CANCER | ONCOLOGY | IMAGES | SEGMENTATION | RADIOTHERAPY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | PET | INTEROBSERVER | Radiotherapy Dosage | Medical Oncology - methods | Markov Chains | Radiotherapy Planning, Computer-Assisted - methods | Humans | Positron-Emission Tomography - methods | Tumor Burden | Neoplasms - diagnostic imaging | Algorithms | Bayes Theorem | Fluorodeoxyglucose F18 | Neoplasms - radiotherapy | Neoplasms - pathology | Radiopharmaceuticals | Fuzzy Logic | TOMOGRAPHY | DIAGNOSTIC TECHNIQUES | NEOPLASMS | EMISSION COMPUTED TOMOGRAPHY | ALGORITHMS | MEDICINE | CT-GUIDED RADIOTHERAPY | COMPUTERIZED TOMOGRAPHY | NUCLEAR MEDICINE | DISEASES | THERAPY | POSITRON COMPUTED TOMOGRAPHY | RADIOLOGY AND NUCLEAR MEDICINE | MATHEMATICAL LOGIC | RADIOLOGY
Journal Article
Journal of Nuclear Medicine, ISSN 0161-5505, 03/2017, Volume 58, Issue 3, pp. 365 - 366
Radiomics is defined as the high-throughput extraction of quantitative metrics from medical images (1). One of its main assumptions is that medical images are...
CELL LUNG-CANCER | HETEROGENEITY | F-18-FDG PET/CT | IMAGES | MRI | QUANTIFICATION | TEXTURE ANALYSIS | CARCINOMA | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | FEATURES | Positron Emission Tomography Computed Tomography | Fluorodeoxyglucose F18 | Tomography, X-Ray Computed | Life Sciences | Bioengineering | Nuclear medicine
CELL LUNG-CANCER | HETEROGENEITY | F-18-FDG PET/CT | IMAGES | MRI | QUANTIFICATION | TEXTURE ANALYSIS | CARCINOMA | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | FEATURES | Positron Emission Tomography Computed Tomography | Fluorodeoxyglucose F18 | Tomography, X-Ray Computed | Life Sciences | Bioengineering | Nuclear medicine
Journal Article
European journal of nuclear medicine and molecular imaging, ISSN 1619-7070, 07/2019, pp. 1 - 8
Techniques from the field of artificial intelligence, and more specifically machine (deep) learning methods, have been core components of most recent...
Learning | Medicine | Nuclear medicine | Image segmentation | Learning algorithms | Medical imaging | Segmentation | Image processing | Noise reduction | Artificial intelligence | Image reconstruction
Learning | Medicine | Nuclear medicine | Image segmentation | Learning algorithms | Medical imaging | Segmentation | Image processing | Noise reduction | Artificial intelligence | Image reconstruction
Journal Article
SCIENTIFIC REPORTS, ISSN 2045-2322, 07/2019, Volume 9, Issue 1, pp. 9743 - 7
Radiogenomics aims at investigating the relationship between imaging radiomic features and gene expression alterations. This study addressed the potential...
STAGE | MULTIDISCIPLINARY SCIENCES | RADIOMICS | CT TEXTURE ANALYSIS | COLON | ASSOCIATION | EXPRESSION | TUMOR HETEROGENEITY | FEATURES | Computed tomography | Colorectal carcinoma | Medical prognosis | Colorectal cancer | Gene expression | Survival | Tumors
STAGE | MULTIDISCIPLINARY SCIENCES | RADIOMICS | CT TEXTURE ANALYSIS | COLON | ASSOCIATION | EXPRESSION | TUMOR HETEROGENEITY | FEATURES | Computed tomography | Colorectal carcinoma | Medical prognosis | Colorectal cancer | Gene expression | Survival | Tumors
Journal Article
The Journal of Nuclear Medicine, ISSN 0161-5505, 05/2018, Volume 59, p. 640
Purpose: Radiomics is foreseen as an essential prognostic tool for cancer risk assessment. The radiomics signature described in Aerts et al. (Nat. Commun....
Phenotypes | Translation | Medical imaging | Lung cancer | Positron emission | Health risks | Patients | Wavelet | Cohort analysis | Computed tomography | Mathematical analysis | Medical prognosis | Risk assessment | Dependence | Tomography | Feature extraction | Head and neck cancer | Head & neck cancer | Pretreatment | Cancer | Tumors
Phenotypes | Translation | Medical imaging | Lung cancer | Positron emission | Health risks | Patients | Wavelet | Cohort analysis | Computed tomography | Mathematical analysis | Medical prognosis | Risk assessment | Dependence | Tomography | Feature extraction | Head and neck cancer | Head & neck cancer | Pretreatment | Cancer | Tumors
Journal Article
Computerized Medical Imaging and Graphics, ISSN 0895-6111, 2015, Volume 46, pp. 300 - 301
Journal Article
European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, 6/2014, Volume 41, Issue 6, pp. 1172 - 1175
The development of combined PET/MR devices has brought to the forefront of scientific interest the issue of PETAC, after CT largely contributed to its...
Oncology | Nuclear Medicine | Medicine & Public Health | Imaging / Radiology | Cardiology | Orthopedics | SEQUENCES | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | ULTRASHORT ECHO TIME | Magnetic Resonance Imaging - methods | Image Processing, Computer-Assisted - methods | Positron-Emission Tomography - methods | Tomography | Nuclear medicine | Medical equipment | Life Sciences | Bioengineering
Oncology | Nuclear Medicine | Medicine & Public Health | Imaging / Radiology | Cardiology | Orthopedics | SEQUENCES | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | ULTRASHORT ECHO TIME | Magnetic Resonance Imaging - methods | Image Processing, Computer-Assisted - methods | Positron-Emission Tomography - methods | Tomography | Nuclear medicine | Medical equipment | Life Sciences | Bioengineering
Journal Article
European Journal of Nuclear Medicine and Molecular Imaging, ISSN 1619-7070, 2018, Volume 46, Issue 4, pp. 864 - 877
PurposeThe aim of this study was to validate previously developed radiomics models relying on just two radiomics features from F-18-fluorodeoxyglucose positron...
External validation | Chemoradiotherapy | Cervical cancer | Prediction | Radiomics | TEXTURAL FEATURES | PROGNOSIS | RECONSTRUCTION | ACQUISITION | PARAMETERS | HARMONIZATION | F-18-FDG PET | IMAGES | CHEMORADIATION | RADIOTHERAPY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Nuclear magnetic resonance--NMR | Medical imaging | Positron emission | Cervix | Disease control | Patients | Model accuracy | Sensitivity | Accuracy | Magnetic resonance imaging | Prediction models | Predictions | Tomography | Models | Mathematical models | Pretreatment | Diffusion coefficient | Flow charts | Positron emission tomography | Cancer
External validation | Chemoradiotherapy | Cervical cancer | Prediction | Radiomics | TEXTURAL FEATURES | PROGNOSIS | RECONSTRUCTION | ACQUISITION | PARAMETERS | HARMONIZATION | F-18-FDG PET | IMAGES | CHEMORADIATION | RADIOTHERAPY | RADIOLOGY, NUCLEAR MEDICINE & MEDICAL IMAGING | Nuclear magnetic resonance--NMR | Medical imaging | Positron emission | Cervix | Disease control | Patients | Model accuracy | Sensitivity | Accuracy | Magnetic resonance imaging | Prediction models | Predictions | Tomography | Models | Mathematical models | Pretreatment | Diffusion coefficient | Flow charts | Positron emission tomography | Cancer
Journal Article