Zobrazeno 1 - 10
of 34
pro vyhledávání: '"TAKASHI SHIRASAKA"'
Publikováno v:
European Radiology Experimental, Vol 5, Iss 1, Pp 1-8 (2021)
Abstract In this study, we investigated the influence of beam hardening on the dual-energy computed tomography (DECT) values of iodine maps, virtual monoenergetic (VME) images, and virtual non-contrast (VNC) images. 320-row DECT imaging was performed
Externí odkaz:
https://doaj.org/article/975354386d3e4306872e1a51c2a512db
Autor:
Hiroshi Hamasaki, Takashi Shirasaka, Yasuhiro Ushijima, Hiroshi Akamine, Yukihisa Takayama, Yuichiro Kubo, Keisuke Ishimatsu, Akihiro Nishie, Toyoyuki Kato
Publikováno v:
Journal of the Belgian Society of Radiology, Vol 105, Iss 1 (2021)
Objectives: In CT during hepatic arteriography (CTHA), the addition of a noise power spectrum (NPS) model to conventional hybrid iterative reconstruction (HIR) may improve spatial resolution and reduce image noise. This study aims at assessing the im
Externí odkaz:
https://doaj.org/article/8a99d01bfff040f381d1da7ff3056e30
Publikováno v:
Japanese Journal of Radiological Technology. 79:446-452
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::a6f14351c2ca472ef9839a16c31c7702
https://doi.org/10.6009/jjrt.2023-1289
https://doi.org/10.6009/jjrt.2023-1289
Autor:
Tsukasa Kojima, Yuzo Yamasaki, Yuko Matsuura, Ryoji Mikayama, Takashi Shirasaka, Masatoshi Kondo, Takeshi Kamitani, Toyoyuki Kato, Kousei Ishigami, Hidetake Yabuuchi
Publikováno v:
Journal of Computer Assisted Tomography; Jan/Feb2024, Vol. 48 Issue 1, p77-84, 8p
Autor:
Tsukasa Kojima, Takashi Shirasaka, Yuzo Yamasaki, Masatoshi Kondo, Hiroshi Hamasaki, Ryoji Mikayama, Yuki Sakai, Toyoyuki Kato, Akihiro Nishie, Kousei Ishigami, Hidetake Yabuuchi
Publikováno v:
Japanese Journal of Radiology. 40:781-790
We investigated the effects of the heart rate (HR) on the motion artifact in coronary computed tomography angiography (CCTA) with ultra-high-resolution-CT (U-HRCT), and we clarified the upper limit of optimal HR in CCTA with U-HRCT in a comparison wi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c20449931a0415be6b5380374c561c20
https://doi.org/10.1007/s11604-022-01265-2
https://doi.org/10.1007/s11604-022-01265-2
Autor:
Yuki Sakai, Tomoyuki Hida, Yuko Matsuura, Takeshi Kamitani, Yasuhiro Onizuka, Takashi Shirasaka, Toyoyuki Kato, Kousei Ishigami
Publikováno v:
The British journal of radiology.
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 underwen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7f3c86a6c5258afd0f1a92f7f5f1ada1
https://pubmed.ncbi.nlm.nih.gov/36318483
https://pubmed.ncbi.nlm.nih.gov/36318483
Publikováno v:
Radiological physics and technology.
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 CT) and compared the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::db794b67f053a319cec55767b577d1f6
https://pubmed.ncbi.nlm.nih.gov/36583827
https://pubmed.ncbi.nlm.nih.gov/36583827
Autor:
Toyoyuki Kato, Masatoshi Kondo, Takashi Shirasaka, Hidetake Yabuuchi, Kousei Ishigami, Akihiro Nishie, Tsukasa Kojima
Publikováno v:
Physica Medica. 81:253-261
A novel fast kilovoltage switching dual-energy CT with deep learning [Deep learning based-spectral CT (DL-Spectral CT)], which generates a complete sinogram for each kilovolt using deep learning views that complement the measured views at each energy
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::228803179beaa5572aed294822028abf
https://doi.org/10.1016/j.ejmp.2020.12.018
https://doi.org/10.1016/j.ejmp.2020.12.018
Autor:
Masateru Kawakubo, Hiroto Waki, Takashi Shirasaka, Tsukasa Kojima, Ryoji Mikayama, Hiroshi Hamasaki, Hiroshi Akamine, Toyoyuki Kato, Shingo Baba, Shin Ushiro, Kousei Ishigami
Publikováno v:
International journal of computer assisted radiology and surgery.
[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 retained surgical item detectabi
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::017b42a186320875aba04e9ebb9c2b92
https://pubmed.ncbi.nlm.nih.gov/36583837
https://pubmed.ncbi.nlm.nih.gov/36583837
Autor:
Akiko Sakai, Yuzo Yamasaki, Masateru Kawakubo, Atsushi Yamamoto, Kenji Fukushima, Hidetake Yabuuchi, Toyoyuki Kato, Takashi Shirasaka, Michinobu Nagao, Eri Watanabe, Risako Nakao, Tsukasa Kojima, Shuji Sakai
Publikováno v:
Heart and Vessels. 36:433-441
Coronary computed tomography angiography (CCTA) has low specificity for detecting significant functional coronary stenosis. We developed a new transluminal attenuation gradient (TAG)-derived dynamic CCTA with dose modulation, and we investigated its
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2efc10439df70733eabb53c4137bca03
https://doi.org/10.1007/s00380-020-01712-y
https://doi.org/10.1007/s00380-020-01712-y