AIMC Topic: Radiation Dosage
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Deep learning-based image restoration algorithm for coronary CT angiography.
European radiology
Apr 8, 2019
OBJECTIVES: The purpose of this study was to compare the image quality of coronary computed tomography angiography (CTA) subjected to deep learning-based image restoration (DLR) method with images subjected to hybrid iterative reconstruction (IR).
Automated segmentation of 2D low-dose CT images of the psoas-major muscle using deep convolutional neural networks.
Radiological physics and technology
Apr 1, 2019
The psoas-major muscle has been reported as a predictive factor of sarcopenia. The cross-sectional area (CSA) of the psoas-major muscle in axial images has been indicated to correlate well with the whole-body skeletal muscle mass. In this study, we e...
Analysis of a CT patient dose database with an unsupervised clustering approach.
Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB)
Mar 29, 2019
PURPOSE: This study investigated the benefits of implementing a cluster analysis technique to extract relevant information from a computed tomography (CT) dose registry archive.
Potential of a machine-learning model for dose optimization in CT quality assurance.
European radiology
Feb 19, 2019
OBJECTIVES: To evaluate machine learning (ML) to detect chest CT examinations with dose optimization potential for quality assurance in a retrospective, cross-sectional study.
Artifact correction in low-dose dental CT imaging using Wasserstein generative adversarial networks.
Medical physics
Feb 14, 2019
PURPOSE: In recent years, health risks concerning high-dose x-ray radiation have become a major concern in dental computed tomography (CT) examinations. Therefore, adopting low-dose computed tomography (LDCT) technology has become a major focus in th...
Application of an artificial neural network model for early outcome prediction of gamma knife radiosurgery in patients with trigeminal neuralgia and determining the relative importance of risk factors.
Clinical neurology and neurosurgery
Feb 12, 2019
OBJECTIVES: Stereotactic radiosurgery (SRS) is a minimally invasive modality for the treatment of trigeminal neuralgia (TN). Outcome prediction of this modality is very important for proper case selection. The aim of this study was to create artifici...
Humans
Neural Networks, Computer
Prognosis
Female
Risk Factors
Aged
Aged, 80 and over
Young Adult
Predictive Value of Tests
Adolescent
Adult
Pain Measurement
Treatment Outcome
Male
Neurosurgical Procedures
Radiosurgery
Diabetes Mellitus
Middle Aged
Radiation Dosage
Follow-Up Studies
Depression
Trigeminal Neuralgia
Kaplan-Meier Estimate
Deep-learning convolutional neural network: Inner and outer bladder wall segmentation in CT urography.
Medical physics
Jan 4, 2019
PURPOSE: We are developing a computerized segmentation tool for the inner and outer bladder wall as a part of an image analysis pipeline for CT urography (CTU).
Ultra-Low-Dose Neck CT With Low-Dose Contrast Material for Preoperative Staging of Thyroid Cancer: Image Quality and Diagnostic Performance.
AJR. American journal of roentgenology
Dec 17, 2018
OBJECTIVE: Although CT has been used as a complementary diagnostic method for the preoperative diagnosis of thyroid cancer, it has the shortcomings of substantial radiation exposure and the use of contrast material (CM). The purpose of this article i...
Learning-based CBCT correction using alternating random forest based on auto-context model.
Medical physics
Dec 11, 2018
PURPOSE: Quantitative Cone Beam CT (CBCT) imaging is increasing in demand for precise image-guided radiotherapy because it provides a foundation for advanced image-guided techniques, including accurate treatment setup, online tumor delineation, and p...
3D Auto-Context-Based Locality Adaptive Multi-Modality GANs for PET Synthesis.
IEEE transactions on medical imaging
Nov 29, 2018
Positron emission tomography (PET) has been substantially used recently. To minimize the potential health risk caused by the tracer radiation inherent to PET scans, it is of great interest to synthesize the high-quality PET image from the low-dose on...
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