Results 151 to 160 of about 6,942,219 (182)

Deep learning image reconstruction improves 40 keV virtual monoenergetic image quality in rectal cancer

European Journal of Radiology
Accurate preoperative evaluation of rectal cancer is essential for staging and treatment planning. Low-energy virtual monoenergetic imaging (VMI) enhances iodine contrast in dual-energy computed tomography (DECT) but increases image noise. Deep learning image reconstruction (DLIR) may mitigate this issue, but its effectiveness for 40 keV VMI in rectal ...
Haini Zhang, Juan Long, Xinran Zhang, Chenzi Wang, Xiaohan Liu, Wenbei Xu, Xiaonan Sun, Aiyun Sun, Shaohui Zheng, Yingying Cui, Hao Wang, Yankai Meng, Kai Xu   +12 more
openaire   +2 more sources

Image Quality on Dual-energy CTPA Virtual Monoenergetic Images: Quantitative and Qualitative Assessment.

Academic radiology, 2019
This study aims to determine the optimal photon energy for image quality of the pulmonary arteries (PAs) on dual-energy computed tomography (CT) pulmonary angiography (CTPA) utilizing low volumes of iodinated contrast.The study received institutional review board exemption and was Health Insurance Portability and Accountability Act compliant. Adults (n 
Bari, Dane, Hersh, Patel, Thomas, O'Donnell, Francis, Girvin, Geraldine, Brusca-Augello, Jeffrey B, Alpert, Bowen, Niu, Mariam, Attia, James, Babb, Jane P, Ko   +9 more
openaire   +1 more source

Optimizing window settings for improved presentation of virtual monoenergetic images in dual‐energy computed tomography

Medical Physics, 2017
PurposeDual‐energy computed tomography virtual monoenergetic imaging (VMI) at 40 keV exhibits superior contrast‐to‐noise ratio (CNR), although practicing radiologists do not consistently prefer it over VMI at 70 keV due to high perceivable noise. We hypothesize that the presentation of 40 keV VMI may be compromised using window settings (i.e., window ...
Wanyi, Fu, Daniele, Marin, Juan Carlos, Ramirez-Giraldo, Kingshuk Roy, Choudhury, Justin, Solomon, Christoph, Schabel, Bhavik N, Patel, Ehsan, Samei   +7 more
openaire   +2 more sources

Using virtual monoenergetic images in Karhunen–Loève domain to differentiate lesion pathology

Medical Imaging 2023: Computer-Aided Diagnosis, 2023
Yongfeng Gao, Shaojie Chang, Marc Jason Pomeroy, Lihong Li 0002, Zhengrong Liang   +4 more
openaire   +1 more source

RETRACTED: Visibility of bronchial arteries using virtual and advanced virtual monoenergetic imaging

Acta Radiologica, 2020
Takakiyo Nomura, Tetsu Niwa, Soji Ozawa, Yutaka Imai, Jun Hashimoto   +4 more
openaire   +1 more source

Comparison of Low-tube-voltage Images and Virtual Monoenergetic Images in CTA Imaging of the Head with Photon-counting Detector CT

Japanese Journal of Radiological Technology
A head computed tomography angiography (CTA) is widely used for diagnosing cerebrovascular diseases and preoperative vascular assessment. A photon-counting detector CT (PCD-CT)enables virtual monochromatic image (VMI)reconstruction regardless of tube voltage.
Hiroki Mori, Ryoichi Yoshida, Takuto Katayama, Hiroyuki Kobayashi   +3 more
openaire   +2 more sources

Image Quality on Dual-energy CTPA Virtual Monoenergetic Images

Academic Radiology, 2018
Bari Dane, Hersh Patel, Thomas O'Donnell, Francis Girvin, Geraldine Brusca-Augello, Jeffrey B. Alpert, Bowen Niu, Mariam Attia, James Babb, Jane P. Ko   +9 more
openaire   +1 more source

Application value of dual-energy computed tomography virtual monoenergetic images for pediatric hand angiography

Pediatric Radiology
While single-energy hand computed tomography angiography (CTA) often yields suboptimal visualization of distal vessels, dual-energy computed tomography (CT) with low-keV virtual monoenergetic image (VMI) reconstruction enhances small-vessel conspicuity.To evaluate the value of dual-energy CT VMIs in pediatric hand CTA.This retrospective study included ...
Hongrong, Xu, Bo, Liu, Zhen, Xu, Fangfang, Qian, Jiawen, Zhao, Jinhua, Cai   +5 more
openaire   +2 more sources

Virtual Monoenergetic Images Facilitate Better Identification of the Arc of Riolan During Splenic Flexure Takedown

Journal of Computer Assisted Tomography
Objective This study aimed to investigate whether virtual monoenergetic images (VMIs) can aid radiologists and surgeons in better identifying the arc of Riolan (AOR) and to determine the optimal kilo electron volt (keV) level.
Qian, Li, Pengfei, Zhang, Ranxu, Zhang, Jianfeng, Zhang, Ruoxi, Tian, Tianyi, Gao, Yu, Huang, Ping, Zhang, Wei, Wei, Rui, Hong, Guiying, Wang, Jian, Zhao   +11 more
openaire   +2 more sources

Variation of Image Quality Parameters in Virtual Monoenergetic Images of Multi-Energy Computed Tomography

Purpose Methods and materials Results Conclusion Personal information and conflict of interest ...
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