Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Atsushi K. Kono"'
Autor:
Hidetoshi Matsuo, Mizuho Nishio, Munenobu Nogami, Feibi Zeng, Takako Kurimoto, Sandeep Kaushik, Florian Wiesinger, Atsushi K. Kono, Takamichi Murakami
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-15 (2022)
Abstract The integrated positron emission tomography/magnetic resonance imaging (PET/MRI) scanner simultaneously acquires metabolic information via PET and morphological information using MRI. However, attenuation correction, which is necessary for q
Externí odkaz:
https://doaj.org/article/3abc55ffc1eb4d1f85753bba5c842add
Autor:
Masataka Suzuki, Takayoshi Toba, Yu Izawa, Hiroshi Fujita, Keisuke Miwa, Yu Takahashi, Hiroyuki Toh, Hiroyuki Kawamori, Hiromasa Otake, Hidekazu Tanaka, Sei Fujiwara, Yoshiaki Watanabe, Atsushi K. Kono, Kenji Okada, Ken‐ichi Hirata
Publikováno v:
Journal of the American Heart Association: Cardiovascular and Cerebrovascular Disease, Vol 10, Iss 18 (2021)
Background Myocardial extracellular volume fraction (ECV), measured by cardiac magnetic resonance imaging, is a useful prognostic marker for patients who have undergone aortic valve replacement (AVR) for aortic stenosis. However, the prognostic signi
Externí odkaz:
https://doaj.org/article/7922af1df2534575b67b9e6188b1353a
Autor:
Yasuyo Urase, Mizuho Nishio, Yoshiko Ueno, Atsushi K. Kono, Keitaro Sofue, Tomonori Kanda, Takaki Maeda, Munenobu Nogami, Masatoshi Hori, Takamichi Murakami
Publikováno v:
Applied Sciences, Vol 10, Iss 13, p 4446 (2020)
The usefulness of sparse-sampling CT with deep learning-based reconstruction for detection of metastasis of malignant ovarian tumors was evaluated. We obtained contrast-enhanced CT images (n = 141) of ovarian cancers from a public database, whose ima
Externí odkaz:
https://doaj.org/article/f8e61f3fb8d74e3c8eb317d9b8a3ba26
Autor:
Tatsuya Nishii, Atsushi K. Kono, Wakiko Tani, Erina Suehiro, Noriyuki Negi, Satoru Takahashi, Kazuro Sugimura
Publikováno v:
PeerJ, Vol 4, p e1680 (2016)
Backgrounds. This study examines the hypothesis that four-dimensional noise reduction (4DNR) with short interval times reduces noise in cardiac computed tomography (CCT) using “padding” phases. Furthermore, the capability of reducing the reductio
Externí odkaz:
https://doaj.org/article/75a5ff58cc684d098dec3e405a992a40
Autor:
Masataka Suzuki, Yu Izawa, Hiroshi Fujita, Keisuke Miwa, Yu Takahashi, Hiroyuki Toh, Takayoshi Toba, Sei Fujiwara, Hiromi Hashimura, Atsushi K. Kono, Ken-ichi Hirata
Publikováno v:
Annals of Nuclear Medicine. 36:544-552
Autor:
Daisuke Tsuda, Shumpei Mori, Yu Izawa, Hiroyuki Toh, Masataka Suzuki, Yu Takahashi, Takayoshi Toba, Sei Fujiwara, Hidekazu Tanaka, Yoshiaki Watanabe, Atsushi K. Kono, Ken‐ichi Hirata
Publikováno v:
Echocardiography. 39:248-259
The sigmoid septum has been generally evaluated subjectively and qualitatively, without detailed examination of its diversity, impact on the morphology of the left ventricular outflow tract (LVOT), and anatomical background.We enrolled 100 patients w
Autor:
Hiroyuki Toh, Yu Izawa, Yoshiaki Watanabe, Ken-ichi Hirata, Atsushi K. Kono, Takayoshi Toba, Shumpei Mori
Publikováno v:
JACC Case Reports
Detailed 3-dimensional analysis of mitral annular disjunction was undertaken in 3 comparative cases of mitral valve prolapse. A case of Barlow disease showed extensive disjunction, whereas cases of fibroelastic deficiency and forme fruste demonstrate
Autor:
Koichiro Yamakado, Takamichi Murakami, Masaki Hashimoto, Kazuhiro Kitajima, Takashi Kijima, Kozo Kuribayashi, Atsushi K. Kono, Seiki Hasegawa, Hidetoshi Matsuo
Publikováno v:
Oncotarget
Objectives This study analyzed an artificial intelligence (AI) deep learning method with a three-dimensional deep convolutional neural network (3D DCNN) in regard to diagnostic accuracy to differentiate malignant pleural mesothelioma (MPM) from benig
Autor:
Mizuho Nishio, Masatoshi Hori, Munenobu Nogami, Hidetoshi Matsuo, Yasuyuki Kojita, Keitaro Sofue, Takamichi Murakami, Atsushi K. Kono, Tomonori Kanda
Publikováno v:
European Radiology. 31(6):3775-3782
To evaluate a deep learning model for predicting gestational age from fetal brain MRI acquired after the first trimester in comparison to biparietal diameter (BPD). Our Institutional Review Board approved this retrospective study, and a total of 184
Autor:
Toshihiro Nakamura, Yoshiaki Watanabe, Takashi Ashihara, Makoto Takemoto, Atsushi K. Kono, Atsusuke Yatomi, Kyoko Yamamoto, Mitsuru Takami, Hiroyuki Takahara, Kazutaka Nakasone, Ken-ichi Hirata, Kunihiko Kiuchi, Hideya Suehiro, Koji Fukuzawa, Jun Sakai, Noriyuki Negi, Yu Izawa, Yusuke Sonoda, Tomomi Akita
Publikováno v:
Journal of Cardiovascular Electrophysiology. 32:1005-1013
Background A computational model demonstrated that atrial fibrillation (AF) rotors could be distributed in patchy late-gadolinium enhancement (LGE) areas and play an important role in AF drivers. However, this was not validated in humans. Objective T