[HTML][HTML] Statistical techniques for digital pre-processing of computed tomography medical images: A current review

OV Prada, MÁ Vera, G Ramirez, RB Rojel… - Displays, 2024‏ - Elsevier
Digital pre-processing is a vital stage in the processing of the information contained in
multilayer computed tomography images. The purpose of digital pre-processing is the …

Ultra-high resolution coronary CT angiography on photon-counting detector CT: bi-centre study on the impact of quantum iterative reconstruction on image quality and …

M Vecsey-Nagy, A Varga-Szemes, UJ Schoepf… - European Journal of …, 2024‏ - Elsevier
Purpose To assess the impact of different quantum iterative reconstruction (QIR) levels on
objective and subjective image quality of ultra-high resolution (UHR) coronary CT …

Prediction of Consolidation Tumor Ratio on Planning CT Images of Lung Cancer Patients Treated with Radiotherapy Based on Deep Learning

Y Tong, H Arimura, T Yoshitake, Y Cui, T Kodama… - Applied Sciences, 2024‏ - mdpi.com
This study aimed to propose an automated prediction approach of the consolidation tumor
ratios (CTRs) of part-solid tumors of patients treated with radiotherapy on treatment planning …

The impact of novel reconstruction algorithms on calcium scoring: results on a dedicated cardiac CT scanner

M Vecsey-Nagy, Z Jokkel, ÁL Jermendy, M Nagy… - Diagnostics, 2023‏ - mdpi.com
Contemporary reconstruction algorithms yield the potential of reducing radiation exposure
by denoising coronary computed tomography angiography (CCTA) datasets. We aimed to …

A novel image blurring detection scheme using spatial autocorrelation

TJ Chen - 2023 34th Irish Signals and Systems Conference …, 2023‏ - ieeexplore.ieee.org
Image blurring prediction has a significant role in image restoration, forensics, and computer
vision. Because of both the sharpened blurred image and the original image enlarge the …

Dual‐Low Technology in Coronary and Abdominal CT Angiography: A Comparative Study of Deep Learning Image Reconstruction and Adaptive Statistic Iterative …

Z Meng, Q **ang, J Cao, Y Guo, S Deng… - … Journal of Imaging …, 2024‏ - Wiley Online Library
To investigate the application advantages of dual‐low technology (low radiation dose and
low contrast agent dose) in deep learning image reconstruction (DLIR) compared to the …

Coronary CTA amidst the COVID-19 Pandemic: A Quicker Examination Protocol with Preserved Image Quality Using a Dedicated Cardiac Scanner

A Panajotu, M Vecsey-Nagy, ÁL Jermendy… - Diagnostics, 2023‏ - mdpi.com
There has been an ongoing debate on the means to minimize the time patients spend at
health care providers during the COVID-19 pandemic. We propose a strategy relying solely …

Statistical techniques for digital pre-processing of computed tomography medical images: A current review

O Valbuena Prada, M Vera, G Ramírez… - 2024‏ - bonga.unisimon.edu.co
Digital pre-processing is a vital stage in the processing of the information contained in
multilayer computed tomography images. The purpose of digital pre-processing is the …

Unsharp Mask Sharpening Detection via Global Analysis

RH Lu, TJ Chen, J Pan - 2024 35th Irish Signals and Systems …, 2024‏ - ieeexplore.ieee.org
Image sharpening prediction plays a significant role in image restoration, forensics, and
computer vision. This work proposes a new method for detecting sharpening and indexing in …

[PDF][PDF] ADVANCES IN MAGNETIC RESONANCE IMAGING OF PERIPHERAL ARTERIAL DISEASE: NON-CONTRAST MAGNETIC RESONANCE ANGIOGRAPHY …

J Csőre - 2024‏ - repo.lib.semmelweis.hu
Lower extremity peripheral arterial disease (PAD) is an atherosclerotic condition that causes
inadequate blood supply and ischemia to the affected limb. PAD, despite its growing …