Results 31 to 40 of about 69,048 (297)

Economic impact of spectral body imaging in diagnosis of patients suspected for occult cancer

Insights into Imaging, 2021
Background Based on prior studies spectral CT has shown a higher sensitivity for malignant lesions than conventional CT at the cost of lower specificity. For the radiologists, it also offers a higher degree of certainty in the diagnosis of benign lesions.
Michael Brun Andersen, Dyveke Ebbesen, Jesper Thygesen, Matthijs Kruis, Qing Gu, Ekta Dharaiya, Finn Rasmussen   +6 more
doaj   +1 more source

Spectral CT imaging: technical principles of dual-energy CT and multi-energy photon-counting CT

, 2023
International audienceSpectral computed tomography (CT) imaging encompasses a unique generation of CT systems based on a simple principle that makes use of the energy-dependent information present in CT images.
Defez, Didier, Dabli, Djamel, Villani, Nicolas, Greffier, Joël, Si-Mohamed, Salim   +4 more
core   +1 more source

Application of spectral CT in coil embolization treatment of bronchial artery aneurysm: A case report [PDF]

Journal of Cardiovascular and Thoracic Research
We report a case of a bronchial artery aneurysm accompanied by a bronchial artery to pulmonary artery fistula in which only coil embolization was performed. Post-embolization, the majority of patients face significant metal artifacts from stents or coils
Shanshan Zhang, Tao Hu, Langzhou Fu, Longyu Duan   +3 more
doaj   +1 more source

Application of Dual-layer Detector Spectral Computed Tomography Virtual Non-contrast Scanning in Enhanced Chest Computed Tomography for Children

CT Lilun yu yingyong yanjiu
Objective: This study aimed to explore the feasibility of applying dual-layer detector spectral computed tomography (DLCT) virtual non-contrast (VNC) technology in pediatric enhanced chest CT examinations. Methods: Retrospective analysis was conducted on
Xiaojing LIU, Hongying WU, Jinqiang MA, Ziqiao LEI, Jianming YU   +4 more
doaj   +1 more source

Deep learning volumetric brain segmentation based on spectral CT

, 2023
The purpose of this pilot study was to evaluate if a deep learning network can be used for brain segmentation of grey and white matter using spectral computed tomography (CT) images.
Fransson, V., Wassélius, J., Christensen, S., Ydström, K.   +3 more
core   +2 more sources

Research progress in material decomposition algorithms for spectral CT

Cailiao gongcheng
Spectral computed tomography （spectral CT） is an emerging detection technology that acquires more comprehensive tissue composition information by measuring an object’s absorption of X-rays of different energies.
JIAO Zhi, DING Wenyu, YANG Fuqiang, HUANG Kuidong   +3 more
doaj   +1 more source

Beam profile assessment in spectral CT scanners [PDF]

, 2018
In this paper, we present a method that uses a combination of experimental and modeled data to assess properties of x-ray beam measured using a small-animal spectral scanner.
Butler, P.H., Broeke, Lieza Vanden, Anthony P. H. Butler, Srinidhi Bheesette, Butler, Anthony PH, Panta, R.K., Bheesette, Srinidhi, Butler, APH, Vanden Broeke, L, Shamshad, M, Goulter, B.P., Butler, PH, Bheesette, S., Bheesette, S, Raj K. Panta, Anjomrouz, M., Bell, S.T., Walsh, M.F., Panta, RK, Atharifard, A., Goulter, Brian P, Butler, Philip H, Muhammad Shamshad, Aamir, Raja, Ali Atharifard, Lieza Vanden Broeke, Walsh, Michael F, Schleich, N, Christopher J. Bateman, Stephen T. Bell, Philip H. Butler, Bell, ST, Shamshad, M., Butler, A.P.H., Schleich, N., Schleich, Nanette, Anjomrouz, M, Atharifard, A, Bateman, C.J., Bateman, Christopher J, Broeke, L.V., Panta, Raj K, Walsh, MF, Aamir, R., Marzieh Anjomrouz, Atharifard, Ali, Michael F. Walsh, Anjomrouz, Marzieh, Aamir, R, Shamshad, Muhammad, Raja Aamir, Goulter, BP, Bateman, CJ, Nanette Schleich, Bell, Stephen T, Brian P. Goulter   +55 more
core   +1 more source

Opportunities for new CT contrast agents to maximize the diagnostic potential of emerging spectral CT technologies [PDF]

, 2017
The introduction of spectral CT imaging in the form of fast clinical dual-energy CT enabled contrast material to be differentiated from other radiodense materials, improved lesion detection in contrast-enhanced scans, and changed the way that existing ...
Roberts, Jeannette C., Yeh, Benjamin M., FitzGerald, Paul F, FitzGerald, Paul F., Wong, Margaret J., Wang, Zhen J., Evans, Paul M, Wang, Zhen J, Roberts, Jeannette C, Colborn, Robert E., Evans, Paul M., Yeh, Benjamin M, Bonitatibus, Peter J, Bonitatibus, Peter J., Lambert, Jack W, Edic, Peter M., Colborn, Robert E, Wong, Margaret J, Lambert, Jack W., Marino, Michael E., Edic, Peter M, Marino, Michael E   +21 more
core   +1 more source

Sparse reconstruction methods in x-ray CT

, 2017
International audienceRecent progress in X-ray CT is contributing to the advent of new clinical applications. A common challenge for these applications is the need for new image reconstruction methods that meet tight constraints in radiation dose and ...
Monica Abella, Nicolas Ducros, Juan Felipe Perez Juste Abascal, Marinetto, Eugenio, Eugenio Marinetto, Abella, Monica, Abascal, Juan F P J, Ducros, Nicolas, Desco, Manuel, Manuel Desco, Peyrin, Françoise, Cyril Mory, Françoise Peyrin, Mory, Cyril, Claudia de Molina, de Molina, Claudia   +15 more
core   +1 more source

A Bibliometric Analysis of Publications in Uremic Toxins From 1991 to 2024

Therapeutic Apheresis and Dialysis, EarlyView.
ABSTRACT Background Uremic toxins are a growing area of research in nephrology, with significant implications in the progression and treatment of chronic kidney disease (CKD) and the management of end‐stage kidney disease (ESKD). This bibliometric analysis aims to evaluate the global research trends, key contributors, and the impact of publications in ...
Yuh‐Shan Ho, Karim M. Soliman, Wisit Cheungpasitporn, Wannasit Wathanavasin, Ahmed Daoud, Ahmed I. Kamal, Balázs Szamosfalvi, Tibor Fülöp   +7 more
wiley   +1 more source