Toyoyuki Kato
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Explore the profile of Toyoyuki Kato including associated specialties, affiliations and a list of published articles.
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50
Citations
71
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Recent Articles
11.
Nishigake D, Yamasaki Y, Yamamura K, Funatsu R, Wada T, Oga M, et al.
Int J Cardiovasc Imaging
. 2023 Sep;
38(10):2219-2225.
PMID: 37726459
To investigate the usefulness of high-resolution systolic T1 mapping using compressed sensing for right ventricular (RV) evaluation. Phantoms and normal volunteers were scanned at 3 T by using a high-resolution...
12.
Kojima T, Yamasaki Y, Matsuura Y, Mikayama R, Shirasaka T, Kondo M, et al.
J Comput Assist Tomogr
. 2023 Aug;
48(1):77-84.
PMID: 37574664
Objective: The purpose of this study is to evaluate the efficacy of deep learning reconstruction (DLR) on low-tube-voltage computed tomographic angiography (CTA) for transcatheter aortic valve implantation (TAVI). Methods: We...
13.
Hara H, Shibayama Y, Fukunaga J, Hirose T, Matsumoto R, Komiya I, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi
. 2023 Mar;
79(5):453-461.
PMID: 36927669
Purpose: To investigate fundamental dosimetric properties of surface dose, exit dose, and beam profile of the brass mesh bolus for 4, 6, and 10 MV high-energy photon beams in radiation...
14.
Onizuka Y, Sakai Y, Shirasaka T, Kondo M, Kato T
Nihon Hoshasen Gijutsu Gakkai Zasshi
. 2023 Mar;
79(5):446-452.
PMID: 36878551
Purpose: The purposes of this study were to evaluate the low-contrast detectability of CT images assuming hepatocellular carcinoma and to determine whether dose reduction in abdominal plain CT imaging is...
15.
Kawakubo M, Waki H, Shirasaka T, Kojima T, Mikayama R, Hamasaki H, et al.
Int J Comput Assist Radiol Surg
. 2022 Dec;
18(8):1459-1467.
PMID: 36583837
Purpose: Although a novel deep learning software was proposed using post-processed images obtained by the fusion between X-ray images of normal post-operative radiography and surgical sponge, the association of the...
16.
Katsuyama Y, Kojima T, Shirasaka T, Kondo M, Kato T
Radiol Phys Technol
. 2022 Dec;
16(1):77-84.
PMID: 36583827
Purpose: We assessed the physical properties of virtual monochromatic images (VMIs) obtained with different energy levels in various contrast settings and radiation doses using deep learning-based spectral computed tomography (DL-Spectral...
17.
Wada T, Togao O, Tokunaga C, Oga M, Kikuchi K, Yamashita K, et al.
Eur J Radiol
. 2022 Dec;
158:110654.
PMID: 36528957
Purpose: We evaluated the usefulness of three-dimensional (3D) chemical exchange saturation transfer (CEST) imaging with compressed sensing and sensitivity encoding (CS-SENSE) for differentiating low-grade gliomas (LGGs) from high-grade gliomas (HGGs)....
18.
Sakai Y, Hida T, Matsuura Y, Kamitani T, Onizuka Y, Shirasaka T, et al.
Br J Radiol
. 2022 Nov;
96(1141):20220731.
PMID: 36318483
Objectives: To demonstrate the effect of an improved deep learning-based reconstruction (DLR) algorithm on Ultra-High-Resolution Computed Tomography (U-HRCT) scanners. Methods: Clinical and phantom studies were conducted. Thirty patients who underwent...
19.
Takarabe S, Okamura K, Kuramoto T, Tokumori K, Kato T, Yoshiura K
Oral Radiol
. 2022 Oct;
39(3):491-503.
PMID: 36289169
Objectives: This study conducted a receiver operating characteristic (ROC) analysis by applying improved cluster signal-to-noise (CSN) analysis to digital intraoral radiographs and develop an observer-free method of analyzing image quality...
20.
Awamoto E, Awamoto S, Mizoguchi N, Kato T
Radiol Phys Technol
. 2022 Sep;
15(4):417-423.
PMID: 36076142
This study explored the detectability of category 3 or higher microcalcifications using 5-MP color and monochrome monitors. Contrast detail mammography phantom with polymethyl methacrylate (PMMA) images were observed in color...