Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Chuluunbaatar , Otgonbaatar"'
Publikováno v:
Tomography, Vol 10, Iss 3, Pp 368-377 (2024)
(1) Background: The intravoxel incoherent motion (IVIM) model can provide information about both molecular diffusion and blood flow for the evaluation of skeletal muscle inflammation. MRI-based fat quantification is advantageous for assessing fat inf
Externí odkaz:
https://doaj.org/article/5f1e16364ece4c5ca8a243f97bb015e5
Autor:
Chuluunbaatar Otgonbaatar, Pil-Hyun Jeon, Jae-Kyun Ryu, Hackjoon Shim, Sang-Hyun Jeon, Sung Min Ko, Hyunjung Kim, Jin Woo Kim
Publikováno v:
PLoS ONE, Vol 18, Iss 4, p e0284793 (2023)
Background and purposeThis study aimed to investigate the potential of contrast enhancement (CE)-boost technique in the head and neck computed tomography (CT) angiography in terms of the objective and subjective image quality.Materials and methodsCon
Externí odkaz:
https://doaj.org/article/e3808eb843084c14b1ceb16c39bce7de
Autor:
Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Seonkyu Kim, Jung Wook Seo, Hackjoon Shim, Dae Hyun Hwang
Publikováno v:
Journal of Integrative Neuroscience, Vol 20, Iss 4, Pp 967-976 (2021)
To evaluate the ability of a commercialized deep learning reconstruction technique to depict intracranial vessels on the brain computed tomography angiography and compare the image quality with filtered-back-projection and hybrid iterative reconstruc
Externí odkaz:
https://doaj.org/article/276c67d355ab481691c26aca6b8c9a91
Autor:
Pil-Hyun Jeon, Sang-Hyun Jeon, Donghee Ko, Giyong An, Hackjoon Shim, Chuluunbaatar Otgonbaatar, Kihong Son, Daehong Kim, Sung Min Ko, Myung-Ae Chung
Publikováno v:
Diagnostics, Vol 13, Iss 11, p 1862 (2023)
Background: In coronary computed tomography angiography (CCTA), the main issue of image quality is noise in obese patients, blooming artifacts due to calcium and stents, high-risk coronary plaques, and radiation exposure to patients. Objective: To co
Externí odkaz:
https://doaj.org/article/fab7974287504e7687e3e7295e92824c
Autor:
Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Jaemin Shin, Han Myun Kim, Jung Wook Seo, Hackjoon Shim, Dae Hyun Hwang
Publikováno v:
Acta Radiologica. 64:1007-1017
Background The demand for homogeneous and higher vascular contrast enhancement is critical to provide an appropriate interpretation of abnormal vascular findings in coronary computed tomography angiography (CTA). Purpose To evaluate the effect of var
Autor:
Dae Hyun Hwang, Hackjoon Shim, Jung Wook Seo, Seonkyu Kim, Jae-Kyun Ryu, Chuluunbaatar Otgonbaatar
Publikováno v:
Journal of Integrative Neuroscience, Vol 20, Iss 4, Pp 967-976 (2021)
To evaluate the ability of a commercialized deep learning reconstruction technique to depict intracranial vessels on the brain computed tomography angiography and compare the image quality with filtered-back-projection and hybrid iterative reconstruc
Autor:
Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Hackjoon Shim, Pil-Hyun Jeon, Sang-Hyun Jeon, Jin Woo Kim, Sung Min Ko, Hyunjung Kim
Publikováno v:
Journal of computer assisted tomography. 46(5)
This study aimed to evaluate chest computed tomography (CT) angiography image quality using the contrast enhancement (CE)-boost technique compared with conventional images.Forty patients who underwent contrast-enhanced chest CT were included. Combine
Autor:
Chuluunbaatar Otgonbaatar, Ji Ye Lee, Keun-Hwa Jung, Inpyeong Hwang, Roh-Eul Yoo, Koung Mi Kang, Tae Jin Yun, Seung Hong Choi, Ji-Hoon Kim, Chul-Ho Sohn
Publikováno v:
Journal of Stroke and Cerebrovascular Diseases. 32:107062
Autor:
Chuluunbaatar Otgonbaatar, Jae-Kyun Ryu, Jaemin Shin, Ji Young Woo, Jung Wook Seo, Hackjoon Shim, Dae Hyun Hwang
Publikováno v:
Korean Journal of Radiology. 23:1044
This study aimed to investigate whether a deep learning reconstruction (DLR) method improves the image quality, stent evaluation, and visibility of the valve apparatus in coronary computed tomography angiography (CCTA) when compared with filtered bac
Publikováno v:
Dokkyo Journal of Medical Sciences. 46(2):73