AIMC Topic: Positron-Emission Tomography
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Enhancing the Image Quality via Transferred Deep Residual Learning of Coarse PET Sinograms.
IEEE transactions on medical imaging
Apr 26, 2018
Increasing the image quality of positron emission tomography (PET) is an essential topic in the PET community. For instance, thin-pixelated crystals have been used to provide high spatial resolution images but at the cost of sensitivity and manufactu...
Multiscale deep neural network based analysis of FDG-PET images for the early diagnosis of Alzheimer's disease.
Medical image analysis
Feb 21, 2018
Alzheimer's disease (AD) is one of the most common neurodegenerative diseases with a commonly seen prodromal mild cognitive impairment (MCI) phase where memory loss is the main complaint progressively worsening with behavior issues and poor self-care...
Using convolutional neural networks to estimate time-of-flight from PET detector waveforms.
Physics in medicine and biology
Jan 11, 2018
Although there have been impressive strides in detector development for time-of-flight positron emission tomography, most detectors still make use of simple signal processing methods to extract the time-of-flight information from the detector signals...
Use of multimodality imaging and artificial intelligence for diagnosis and prognosis of early stages of Alzheimer's disease.
Translational research : the journal of laboratory and clinical medicine
Jan 10, 2018
Alzheimer's disease (AD) is a major neurodegenerative disease and the most common cause of dementia. Currently, no treatment exists to slow down or stop the progression of AD. There is converging belief that disease-modifying treatments should focus ...
Interpretation criteria for FDG PET/CT in multiple myeloma (IMPeTUs): final results. IMPeTUs (Italian myeloma criteria for PET USe).
European journal of nuclear medicine and molecular imaging
Dec 21, 2017
UNLABELLED: ᅟ: FDG PET/CT (F-fluoro-deoxy-glucose positron emission tomography/computed tomography) is a useful tool to image multiple myeloma (MM). However, simple and reproducible reporting criteria are still lacking and there is the need for harmo...
Machine learning techniques for breast cancer computer aided diagnosis using different image modalities: A systematic review.
Computer methods and programs in biomedicine
Dec 12, 2017
BACKGROUND AND OBJECTIVE: The high incidence of breast cancer in women has increased significantly in the recent years. Physician experience of diagnosing and detecting breast cancer can be assisted by using some computerized features extraction and ...
Glioma Survival Prediction with Combined Analysis of In Vivo C-MET PET Features, Ex Vivo Features, and Patient Features by Supervised Machine Learning.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Nov 24, 2017
Gliomas are the most common type of tumor in the brain. Although the definite diagnosis is routinely made ex vivo by histopathologic and molecular examination, diagnostic work-up of patients with suspected glioma is mainly done using MRI. Nevertheles...
Quantitative surface analysis of combined MRI and PET enhances detection of focal cortical dysplasias.
NeuroImage
Oct 31, 2017
OBJECTIVE: Focal cortical dysplasias (FCDs) often cause pharmacoresistant epilepsy, and surgical resection can lead to seizure-freedom. Magnetic resonance imaging (MRI) and positron emission tomography (PET) play complementary roles in FCD identifica...
Zero-Echo-Time and Dixon Deep Pseudo-CT (ZeDD CT): Direct Generation of Pseudo-CT Images for Pelvic PET/MRI Attenuation Correction Using Deep Convolutional Neural Networks with Multiparametric MRI.
Journal of nuclear medicine : official publication, Society of Nuclear Medicine
Oct 30, 2017
Accurate quantification of uptake on PET images depends on accurate attenuation correction in reconstruction. Current MR-based attenuation correction methods for body PET use a fat and water map derived from a 2-echo Dixon MRI sequence in which bone ...
A machine learning method for fast and accurate characterization of depth-of-interaction gamma cameras.
Physics in medicine and biology
Oct 19, 2017
Measuring the depth-of-interaction (DOI) of gamma photons enables increasing the resolution of emission imaging systems. Several design variants of DOI-sensitive detectors have been recently introduced to improve the performance of scanners for posit...
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