Results 241 to 250 of about 5,193,269 (304)

Retrospective Analysis of Incidental Myocardial Perfusion Defects on Non-ECG-Gated Contrast-Enhanced CT in Emergency Settings. [PDF]

Medicina (Kaunas)
Zhou JH, Wu MY, Hsiao JK.
europepmc   +1 more source

Deep learning-based system to predict hepatocellular carcinoma resection volume using contrast-enhanced CT. [PDF]

Sci Rep
Wang X, Zhang L, Liu P, Zhou Y, Rao C, Zhao L, Lin X, Zhu M, Du Y, He K.   +9 more
europepmc   +1 more source

Intratumoral and Peritumoral Radiomics based on Contrast-enhanced CT Images: Biomarkers to Predict the Risk-Grade of Gastrointestinal Stromal Tumors [PDF]

Curr Med Imaging
Liu Y, Wu Y, Cao X, Zhang G, Yin L.
europepmc   +1 more source

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Neural Contrast Enhancement of CT Image

2021 IEEE Winter Conference on Applications of Computer Vision (WACV), 2021
Contrast materials are often injected into body to contrast specific tissues in Computed Tomography (CT) images. Contrast Enhanced CT (CECT) images obtained in this way are more useful than Non-Enhanced CT (NECT) images for medical diagnosis, but not available for everyone due to side effects of the contrast materials.
Minkyo Seo, Dongkeun Kim, Kyungmoon Lee, Seunghoon Hong, Jae Seok Bae, Jung Hoon Kim, Suha Kwak   +6 more
openaire   +2 more sources

Contrast-enhanced CT colonography

Seminars in Ultrasound, CT and MRI, 2001
Computed tomography (CT) colonography provides both a multiplanar and endoluminal perspective of the air-filled, distended, cleansed colon, offering an alternative to traditional approaches to colorectal cancer screening. However, there are still limitations associated with CT colonography that need to be resolved, including inadequate bowel distention
M M, Morrin, V, Raptopoulos
openaire   +2 more sources

COVID-19 Lesion Segmentation Framework for the Contrast-Enhanced CT in the Absence of Contrast-Enhanced CT Annotations

2023
Medical imaging is a dynamic domain where new acquisition protocols are regularly developed and employed to meet changing clinical needs. Deep learning models for medical image segmentation have proven to be a valuable tool for medical image processing. Creating such a model from scratch requires a lot of effort in terms of annotating new types of data
Maryna Kvasnytsia, Abel Díaz Berenguer, Hichem Sahli, Jef Vandemeulebroucke   +3 more
openaire   +2 more sources

CT contrast enhancement in cerebral infarction

American Journal of Roentgenology, 1978
Computed tomography was used to study 100 patients with ischemic cerebral infarcts. All cases were documented by autopsy, radionuclide imaging, cerebral angiography, or clinical course. Vascular distribution of infarcts was varied and included infarcts of cerebral hemispheres, basal ganglia, and cerebellum.
G A, Norton, P R, Kishore, J, Lin
openaire   +2 more sources

Contrast Enhancement at CT

2017
Contrast-enhanced CT studies are highly diagnostic and involve little physiological stress. To obtain the best results, protocols for contrast enhancement must take into consideration the patient factors, CM factors, and scan factors for contrast enhancement.
Kazuo Awai, Toru Higaki, Fuminari Tatsugami   +2 more
openaire   +1 more source

The feasibility of contrast-enhanced spectral mammography immediately after contrast-enhanced CT

Radiological Physics and Technology, 2019
Contrast-enhanced spectral mammography (CESM) is a digital mammography method that requires an intravenous injection of iodinated contrast material to detect hypervascular lesions. In patients undergoing evaluation for metastases before breast tumor surgery, a contrast material must be injected for computed tomography (CT) and CESM studies. The purpose
Nobuko, Okada, Fuminari, Tatsugami, Mai, Sugai, Izumi, Okita, Mitsuya, Ito, Shoichiro, Ohtani, Kouichi, Ichimura, Masaki, Urashima, Kazuo, Awai   +8 more
openaire   +2 more sources