AIMC Topic: Positron-Emission Tomography

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ATLAAS: an automatic decision tree-based learning algorithm for advanced image segmentation in positron emission tomography.

Physics in medicine and biology Jun 8, 2016
Accurate and reliable tumour delineation on positron emission tomography (PET) is crucial for radiotherapy treatment planning. PET automatic segmentation (PET-AS) eliminates intra- and interobserver variability, but there is currently no consensus on...
Image Processing, Computer-Assisted Decision Trees Positron-Emission Tomography Automation Phantoms, Imaging Machine Learning
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Semisupervised Tripled Dictionary Learning for Standard-Dose PET Image Prediction Using Low-Dose PET and Multimodal MRI.

IEEE transactions on bio-medical engineering May 12, 2016
OBJECTIVE: To obtain high-quality positron emission tomography (PET) image with low-dose tracer injection, this study attempts to predict the standard-dose PET (S-PET) image from both its low-dose PET (L-PET) counterpart and corresponding magnetic re...
Multimodal Imaging Humans Supervised Machine Learning Algorithms Reproducibility of Results Radiation Dosage Positron-Emission Tomography Sensitivity and Specificity Radiation Exposure Pattern Recognition, Automated Magnetic Resonance Imaging Subtraction Technique Image Enhancement Radiation Protection
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Classification of amyloid status using machine learning with histograms of oriented 3D gradients.

NeuroImage. Clinical May 10, 2016
Brain amyloid burden may be quantitatively assessed from positron emission tomography imaging using standardised uptake value ratios. Using these ratios as an adjunct to visual image assessment has been shown to improve inter-reader reliability, howe...
Amyloid Image Interpretation, Computer-Assisted Carbon Radioisotopes Ethylene Glycols Humans Aged Radiopharmaceuticals Aged, 80 and over Brain Sensitivity and Specificity Female Alzheimer Disease Male Reproducibility of Results Aniline Compounds Support Vector Machine Positron-Emission Tomography Stilbenes
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Neural correlates of consciousness in patients who have emerged from a minimally conscious state: a cross-sectional multimodal imaging study.

The Lancet. Neurology Apr 27, 2016
BACKGROUND: Between pathologically impaired consciousness and normal consciousness exists a scarcely researched transition zone, referred to as emergence from minimally conscious state, in which patients regain the capacity for functional communicati...
Humans Neural Networks, Computer Child Magnetic Resonance Imaging Brain Mapping Oxygen Positron-Emission Tomography Male Consciousness Middle Aged MEDLINE Female Case-Control Studies Fluorodeoxyglucose F18 Aged Adolescent Persistent Vegetative State Young Adult Cohort Studies Adult
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Ensembles of Deep Learning Architectures for the Early Diagnosis of the Alzheimer's Disease.

International journal of neural systems Apr 4, 2016
Computer Aided Diagnosis (CAD) constitutes an important tool for the early diagnosis of Alzheimer's Disease (AD), which, in turn, allows the application of treatments that can be simpler and more likely to be effective. This paper explores the constr...
Disease Progression Cognitive Dysfunction ROC Curve Imaging, Three-Dimensional Unsupervised Machine Learning Brain Female Aged Male Early Diagnosis Pattern Recognition, Automated Gray Matter Area Under Curve Alzheimer Disease Positron-Emission Tomography Image Interpretation, Computer-Assisted Datasets as Topic Humans
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Clinical and oncologic outcomes of totally robotic total mesorectal excision for rectal cancer: initial results in a center for minimally invasive surgery.

International journal of colorectal disease Mar 9, 2016
PURPOSE: A robotic system was mainly designed to allow precise dissection in deep and narrow spaces. We report the clinical and oncologic outcomes of totally robotic total mesorectal excision for rectal cancer.
Humans Middle Aged Tomography, X-Ray Computed Positron-Emission Tomography Treatment Outcome Female Digestive System Surgical Procedures Robotics Aged Demography Minimally Invasive Surgical Procedures Male Perioperative Care Rectal Neoplasms
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Monitoring vascular normalization induced by antiangiogenic treatment with (18)F-fluoromisonidazole-PET.

Molecular oncology Dec 22, 2015
BACKGROUND: Rationalization of antiangiogenics requires biomarkers. Vascular re-normalization is one widely accepted mechanism of action for this drug class. The interstitium of tumors with abnormal vasculature is hypoxic. We sought to track vascular...
Breast Gemcitabine Cell Line, Tumor Cell Hypoxia Positron-Emission Tomography Misonidazole Fluorine Radioisotopes Quinolones Humans Mice Benzimidazoles Neovascularization, Pathologic Female Angiogenesis Inhibitors Antimetabolites, Antineoplastic Pancreas Breast Neoplasms Mice, Nude Deoxycytidine Animals Pancreatic Neoplasms
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Graph-guided joint prediction of class label and clinical scores for the Alzheimer's disease.

Brain structure & function Oct 17, 2015
Accurate diagnosis of Alzheimer's disease and its prodromal stage, i.e., mild cognitive impairment, is very important for early treatment. Over the last decade, various machine learning methods have been proposed to predict disease status and clinica...
Humans Machine Learning Algorithms Brain Computer Simulation Female Aged Image Interpretation, Computer-Assisted Male Cognitive Dysfunction Magnetic Resonance Imaging Alzheimer Disease Positron-Emission Tomography
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Predicting Response to Neoadjuvant Chemotherapy with PET Imaging Using Convolutional Neural Networks.

PloS one Sep 10, 2015
Imaging of cancer with 18F-fluorodeoxyglucose positron emission tomography (18F-FDG PET) has become a standard component of diagnosis and staging in oncology, and is becoming more important as a quantitative monitor of individual response to therapy....
Algorithms Female Aged Aged, 80 and over Adult Male Esophageal Neoplasms Humans Middle Aged Neural Networks, Computer Positron-Emission Tomography Image Processing, Computer-Assisted Fluorodeoxyglucose F18 Treatment Outcome Kaplan-Meier Estimate Neoadjuvant Therapy
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Enhancing spatial resolution of (18)F positron imaging with the Timepix detector by classification of primary fired pixels using support vector machine.

Physics in medicine and biology Jun 18, 2015
Position-sensitive positron cameras using silicon pixel detectors have been applied for some preclinical and intraoperative clinical applications. However, the spatial resolution of a positron camera is limited by positron multiple scattering in the ...
Monte Carlo Method Vitaceae Radiopharmaceuticals Humans Algorithms Electrons Computer Simulation Positron-Emission Tomography Support Vector Machine Image Interpretation, Computer-Assisted Plant Leaves Fluorodeoxyglucose F18
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