Article
Radiology, Nuclear Medicine & Medical Imaging
Corey T. Jensen, Shiva Gupta, Mohammed M. Saleh, Xinming Liu, Vincenzo K. Wong, Usama Salem, Wei Qiao, Ehsan Samei, Nicolaus A. Wagner-Bartak
Summary: This study compared reduced-dose deep learning image reconstruction with standard-dose filtered back projection contrast-enhanced abdominal CT in evaluating liver metastases and image quality. The results showed that deep learning image reconstruction improved CT image quality while reducing radiation dose, with superior performance in detecting liver lesions larger than 0.5 cm.
Article
Radiology, Nuclear Medicine & Medical Imaging
Caro Franck, Guozhi Zhang, Paul Deak, Federica Zanca
Summary: The study assessed the performance of TrueFidelity algorithm at low doses in chest CT, showing that TrueFidelity can better preserve image texture at lower doses compared to ASIR-V.
PHYSICA MEDICA-EUROPEAN JOURNAL OF MEDICAL PHYSICS
(2021)
Article
Physics, Multidisciplinary
Yanwei Qin, Tianjiao Sun, Xin Lu, Xinran Yu, Yunsong Zhao, Xing Zhao
Summary: The exterior CT problem is a special X-ray CT imaging problem used for nondestructive inspections of large tubular samples. In this paper, a regularization model is proposed to solve the exterior CT problem, and its effectiveness is verified.
Article
Clinical Neurology
Franziska Mueller, Matthias P. Fabritius, Lena Stueckelschweiger, Sophia Kiesl, Sebastian Moench, Steffen Tiedt, Jan Remi, Lars Kellert, Moriz Herzberg, Clemens Kuepper, Konstantinos Dimitriadis, Jens Ricke, Daniel Puhr-Westerheide, Thomas Liebig, Wolfgang G. Kunz, Paul Reidler
Summary: This study found that transferred LVO stroke patients had longer wait times for imaging assessment at our institution and lower ASPECTS scores. Additionally, there was a stronger association between ASPECTS and CTP ischemic core volume in transferred patients. Residual IV contrast affects ASPECTS scores, and the detectability of the hyperdense vessel sign is significantly decreased after transfer.
FRONTIERS IN NEUROLOGY
(2022)
Article
Medicine, General & Internal
Andreas S. Brendlin, Moritz T. Winkelmann, Felix Peisen, Christoph P. Artzner, Konstantin Nikolaou, Ahmed E. Othman, Saif Afat
Summary: A simulated ultra-low-dose high-pitch CTPA protocol showed reliable performance in detecting acute PE with good image quality and diagnostic confidence, as well as significantly lower image noise, at a dose reduction of 84%.
Article
Radiology, Nuclear Medicine & Medical Imaging
Andrea Morotti, Giorgio Busto, Gregoire Boulouis, Elisa Scola, Alessandro Padovani, Ilaria Casetta, Enrico Fainardi
Summary: The combined analysis of non-contrast CT and CT perfusion markers improves the prediction of hematoma expansion and outcome in intracerebral hemorrhage.
EUROPEAN RADIOLOGY
(2023)
Article
Radiology, Nuclear Medicine & Medical Imaging
Jia Xu, Shitian Wang, Xuan Wang, Yun Wang, Huadan Xue, Jing Yan, Min Xu, Zhengyu Jin
Summary: This study investigates the effects of using contrast-enhancement-boost (CE-boost) with different algorithms on the image quality of abdominal CT angiography (CTA). The results show that combining model-based iterative reconstruction (MBIR) with CE-boost produces the best image quality.
EUROPEAN JOURNAL OF RADIOLOGY
(2022)
Article
Instruments & Instrumentation
Changcheng Gong, Zhaoqiang Shen, Yuanwei He
Summary: This study investigates a new segmental limited-angle (SLA) sampling strategy for CT reconstruction from incomplete projection data, and incorporates image structural prior into the reconstruction model. The experimental results demonstrate the effectiveness of the proposed method in reducing artifacts and preserving image structures.
JOURNAL OF X-RAY SCIENCE AND TECHNOLOGY
(2022)
Article
Computer Science, Interdisciplinary Applications
Ziyu Shu, Alireza Entezari
Summary: This paper proposes a new framework that utilizes untrained generator networks to address the challenges in neural network image reconstruction. By leveraging the deep image prior technique for regularization, the framework achieves high reconstruction accuracy. Experimental results demonstrate significant improvements over other methods under sparse-view, limited-angle, and low-dose conditions.
COMPUTER METHODS AND PROGRAMS IN BIOMEDICINE
(2022)
Article
Engineering, Biomedical
Shanzhou Niu, Hong Liu, Mengzhen Zhang, Min Wang, Jing Wang, Jianhua Ma
Summary: The study introduces a new statistical iterative reconstruction method, PWLS-PIDT, to improve the image quality of low-dose CPCT by utilizing a prior image and preserving important features in the target image. Experimental results show that the noise in CPCT images reconstructed using the PWLS-PIDT method is significantly reduced, without sacrificing structural details.
PHYSICS IN MEDICINE AND BIOLOGY
(2021)
Article
Engineering, Biomedical
Louise Friot--Giroux, Francoise Peyrin, Voichita Maxim
Summary: This study compares different optimization schemes for 3D dental imaging and finds that PDHG and MLEM-TV algorithms provide the best reconstruction quality. These algorithms have been improved and adapted for CBCT characteristics.
PHYSICS IN MEDICINE AND BIOLOGY
(2022)
Article
Radiology, Nuclear Medicine & Medical Imaging
Victor Mergen, Damien Racine, Lisa Jungblut, Thomas Sartoretti, Steven Bickel, Pascal Monnin, Kai Higashigaito, Katharina Martini, Hatem Alkadhi, Andre Euler
Summary: This study assessed the attenuation errors and image quality of abdominal virtual noncontrast (VNC) images acquired with photon-counting detector (PCD) CT compared to true noncontrast (TNC) images. The results showed consistent attenuation values in VNC images with small errors. Subjective image quality ratings were lower in VNC images, but the diagnostic quality still reached a good level.
Article
Multidisciplinary Sciences
Andreas Steven Kunz, Theresa Sophie Patzer, Jan-Peter Grunz, Karsten Sebastian Luetkens, Viktor Hartung, Robin Hendel, Tabea Fieber, Franca Genest, Suleyman Erguen, Thorsten Alexander Bley, Henner Huflage
Summary: This study compared the presence of artifacts in CBCT and MDCT scans with osteosynthetic implants. The results showed that UHR-CBCT scans provided superior image quality and artifact reduction compared to UHR-MDCT scans.
SCIENTIFIC REPORTS
(2022)
Article
Engineering, Electrical & Electronic
Yuanke Zhang, Dong Zeng, Zhaoying Bian, Hongbing Lu, Jianhua Ma
Summary: This study proposed a novel weighted tensor low-rank and learnable analysis sparse representation model to enhance CT image reconstruction performance, by introducing a series of innovative algorithms and demonstrating the effectiveness of the proposed algorithm through extensive experiments.
IEEE TRANSACTIONS ON COMPUTATIONAL IMAGING
(2021)
Article
Radiology, Nuclear Medicine & Medical Imaging
Keisuke Fujii, Keiichi Nomura, Kuniharu Imai, Yoshihisa Muramatsu, So Tsushima, Hiroyuki Ota
Summary: This study aimed to evaluate the amount of texture noise observed on CT images and compare the apparent noise in images reconstructed using different algorithms. The apparent noise index was found to be a useful indicator for quantifying and comparing texture noise on CT images obtained with different scan parameters and reconstruction algorithms, with AiCE Body Sharp images having the lowest apparent noise index.
JOURNAL OF DIGITAL IMAGING
(2022)