AIMC Topic: Signal-To-Noise Ratio
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Improving intracranial aneurysms image quality and diagnostic confidence with deep learning reconstruction in craniocervical CT angiography.
Acta radiologica (Stockholm, Sweden : 1987)
Jun 5, 2024
BACKGROUND: The diagnostic impact of deep learning computed tomography (CT) reconstruction on intracranial aneurysm (IA) remains unclear.
Evaluation of deep learning-based reconstruction late gadolinium enhancement images for identifying patients with clinically unrecognized myocardial infarction.
BMC medical imaging
May 31, 2024
BACKGROUND: The presence of infarction in patients with unrecognized myocardial infarction (UMI) is a critical feature in predicting adverse cardiac events. This study aimed to compare the detection rate of UMI using conventional and deep learning re...
Clinical evaluation of deep learning-enhanced lymphoma pet imaging with accelerated acquisition.
Journal of applied clinical medical physics
May 29, 2024
PURPOSE: This study aims to evaluate the clinical performance of a deep learning (DL)-enhanced two-fold accelerated PET imaging method in patients with lymphoma.
Young Adult
Adult
Male
Middle Aged
Deep Learning
Image Processing, Computer-Assisted
Lymphoma
Positron Emission Tomography Computed Tomography
Whole Body Imaging
Radiopharmaceuticals
Prognosis
Image Interpretation, Computer-Assisted
Humans
Female
Fluorodeoxyglucose F18
Aged
Signal-To-Noise Ratio
Aged, 80 and over
Deep Learning Based Cystoscopy Image Enhancement.
Journal of endourology
May 28, 2024
Endoscopy image enhancement technology provides doctors with clearer and more detailed images for observation and diagnosis, allowing doctors to assess lesions more accurately. Unlike most other endoscopy images, cystoscopy images face more complex ...
Robustness of Deep Learning models in electrocardiogram noise detection and classification.
Computer methods and programs in biomedicine
May 24, 2024
BACKGROUND AND OBJECTIVE: Automatic electrocardiogram (ECG) signal analysis for heart disease detection has gained significant attention due to busy lifestyles. However, ECG signals are susceptible to noise, which adversely affects the performance of...
Assessment of image quality and impact of deep learning-based software in non-contrast head CT scans.
Scientific reports
May 23, 2024
In this retrospective study, we aimed to assess the objective and subjective image quality of different reconstruction techniques and a deep learning-based software on non-contrast head computed tomography (CT) images. In total, 152 adult head CT sca...
Deep-learning denoising minimizes radiation exposure in neck CT beyond the limits of conventional reconstruction.
European journal of radiology
May 22, 2024
BACKGROUND: Neck computed tomography (NCT) is essential for diagnosing suspected neck tumors and abscesses, but radiation exposure can be an issue. In conventional reconstruction techniques, limiting radiation dose comes at the cost of diminished dia...
Magnetic Resonance Spectroscopy Quantification Aided by Deep Estimations of Imperfection Factors and Macromolecular Signal.
IEEE transactions on bio-medical engineering
May 20, 2024
OBJECTIVE: Magnetic Resonance Spectroscopy (MRS) is an important technique for biomedical detection. However, it is challenging to accurately quantify metabolites with proton MRS due to serious overlaps of metabolite signals, imperfections because of...
Deep learning-based super-resolution of structural brain MRI at 1.5 T: application to quantitative volume measurement.
Magma (New York, N.Y.)
May 17, 2024
OBJECTIVE: This study investigated the feasibility of using deep learning-based super-resolution (DL-SR) technique on low-resolution (LR) images to generate high-resolution (HR) MR images with the aim of scan time reduction. The efficacy of DL-SR was...
Value of vendor-agnostic deep learning image denoising in brain computed tomography: A multi-scanner study.
RoFo : Fortschritte auf dem Gebiete der Rontgenstrahlen und der Nuklearmedizin
May 15, 2024
To evaluate the effect of a vendor-agnostic deep learning denoising (DLD) algorithm on diagnostic image quality of non-contrast cranial computed tomography (ncCT) across five CT scanners.This retrospective single-center study included ncCT data of 15...
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