Výsledky vyhledávání - "Machiko Tateishi"

Hybrid deep-learning-based denoising method for compressed sensing in pituitary MRI: comparison with the conventional wavelet-based denoising method

Autor: Hiroyuki Uetani, Takeshi Nakaura, Mika Kitajima, Kosuke Morita, Kentaro Haraoka, Naoki Shinojima, Machiko Tateishi, Taihei Inoue, Akira Sasao, Akitake Mukasa, Minako Azuma, Osamu Ikeda, Yasuyuki Yamashita, Toshinori Hirai

Publikováno v: European radiology. 32(7)

This study aimed to evaluate the efficacy of a combined wavelet and deep-learning reconstruction (DLR) method for under-sampled pituitary MRI.This retrospective study included 28 consecutive patients who underwent under-sampled pituitary T2-weighted

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d7c8d6c6d62e754b2d97061275f5745
https://pubmed.ncbi.nlm.nih.gov/35169896

Zobrazit plný text záznamu

A preliminary study of deep learning-based reconstruction specialized for denoising in high-frequency domain: usefulness in high-resolution three-dimensional magnetic resonance cisternography of the cerebellopontine angle

Autor: Osamu Ikeda, Tadashi Hamasaki, Seitaro Oda, Machiko Tateishi, Kosuke Morita, Mika Kitajima, Yasuyuki Yamashita, Akira Sasao, Takeshi Nakaura, Yamashita Yuichi, Hiroyuki Uetani

Publikováno v: Neuroradiology. 63(1)

Deep learning-based reconstruction (DLR) has been developed to reduce image noise and increase the signal-to-noise ratio (SNR). We aimed to evaluate the efficacy of DLR for high spatial resolution (HR)-MR cisternography. This retrospective study incl

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d25256a9fd763521fb3167f2d1070e2
https://pubmed.ncbi.nlm.nih.gov/32794075

Zobrazit plný text záznamu

Differentiating between Alzheimer Disease Patients and Controls with Phase-difference-enhanced Imaging at 3T: A Feasibility Study

Autor: Nan Kurehana, Tetsuya Yoneda, Toshinori Hirai, Mika Kitajima, Mamoru Hashimoto, Yasuyuki Yamashita, Machiko Tateishi, Ryuji Fukuhara, Hiroyuki Uetani, Minako Azuma

Publikováno v: Magnetic Resonance in Medical Sciences

Purpose To test the feasibility of the phase difference enhanced (PADRE) imaging for differentiation between Alzheimer disease (AD) patients and control subjects on 3T MR imaging. Materials and methods Fifteen patients with AD and 10 age-matched cont

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::c6b184ffa2486d612674dc59bfe3eb7e
https://doi.org/10.2463/mrms.mp.2017-0134

Zobrazit plný text záznamu

Deep Learning Based Noise Reduction for Brain MR Imaging: Tests on Phantoms and Healthy Volunteers

Autor: Yamashita Yuichi, Kosuke Morita, Mika Kitajima, Hiroyuki Uetani, Kenzo Isogawa, Kensuke Shinoda, Masafumi Kidoh, Yasuyuki Yamashita, Masahito Nambu, Takeshi Nakaura, Machiko Tateishi

Publikováno v: Magnetic Resonance in Medical Sciences

Purpose: To test whether our proposed denoising approach with deep learning-based reconstruction (dDLR) can effectively denoise brain MR images. Methods: In an initial experimental study, we obtained brain images from five volunteers and added differ

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e6a45ef8c65f3a6ddf83a0a860f44d33
https://pubmed.ncbi.nlm.nih.gov/31484849

Zobrazit plný text záznamu

Benefit of 3T Diffusion-weighted Imaging in Comparison to Contrast-enhanced MR Imaging for the Evaluation of Disseminated Lesions in Primary Malignant Brain Tumors

Autor: Yoshihito Kadota, Mika Kitajima, Shigetoshi Yano, Shinichiro Nishimura, Keishi Makino, Machiko Tateishi, Minako Azuma, Toshinori Hirai, Hideo Nakamura, Yasuyuki Yamashita

Publikováno v: Magnetic Resonance in Medical Sciences

Purpose: We aimed to determine whether 3T diffusion-weighted imaging (DWI) has an additive value relative to contrast-enhanced MR imaging for the detection of disseminated lesions in patients with primary malignant brain tumors. Methods: We included

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e318f07d456b2d18e2eb84136a014044
http://europepmc.org/articles/PMC5600028

Zobrazit plný text záznamu

Evaluation of Intracranial Vasculatures in Healthy Subjects with Arterial-Spin-Labeling-Based 4D-MR Angiography at 3T

Autor: Shinichiro Nishimura, Toshinori Hirai, Minako Azuma, Eri Hayashida, Yasuhiko Iryo, Yasuyuki Yamashita, Machiko Tateishi, Masanobu Nakamura, Mika Kitajima

Publikováno v: Magnetic Resonance in Medical Sciences

Contrast inherent inflow-enhanced multi-phase angiography combining multiple-phase flow-alternating inversion-recovery (CINEMA-FAIR) is an arterial-spin-labeling-based four-dimensional magnetic resonance angiography (4D-MRA) technique. Two neuroradio

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b55c90e034cb6ccd454a282d88b2e25b
http://europepmc.org/articles/PMC5608130

Zobrazit plný text záznamu

An initial experience of machine learning based on multi-sequence texture parameters in magnetic resonance imaging to differentiate glioblastoma from brain metastases

Autor: Akitake Mukasa, Takeshi Nakaura, Machiko Tateishi, Masataka Nakagawa, Yasuyuki Yamashita, Hiroyuki Uetani, Mika Kitajima, Jun-ichiro Kuroda, Taihei Inoue

Publikováno v: Journal of the Neurological Sciences. 410:116514

Purpose To evaluate the performance of a machine learning method based on texture parameters in conventional magnetic resonance imaging (MRI) in differentiating glioblastoma (GB) from brain metastases (METs). Materials and methods In this retrospecti

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::5fa12db27642ae33fe98251d64e809d8
https://doi.org/10.1016/j.jns.2019.116514

Zobrazit plný text záznamu

Perfusion abnormality on three-dimensional arterial spin labeling in patients with acute encephalopathy with biphasic seizures and late reduced diffusion

Autor: Yuichiro Muto, Yasuyuki Yamashita, Takeshi Nakaura, Hiroyuki Uetani, Yohei Kuroki, Katsuki Hirai, Machiko Tateishi, Mika Kitajima, Takeshi Sugahara

Publikováno v: Journal of the Neurological Sciences. 408:116558

Purpose Acute encephalopathy with biphasic seizures and late reduced diffusion (AESD) is the most common encephalopathy subtype in Japanese children. Few case reports have shown perfusion abnormality on arterial spin labeling (ASL) in patients with A

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4f1b7bc5f25120774c5f3d4f0854d4ae
https://doi.org/10.1016/j.jns.2019.116558

Zobrazit plný text záznamu

Machine learning based on multi-parametric magnetic resonance imaging to differentiate glioblastoma multiforme from primary cerebral nervous system lymphoma

Autor: Masataka Nakagawa, Toshinori Hirai, Yasuyuki Yamashita, Daisuke Utsunomiya, Keishi Makino, Akitake Mukasa, Hideo Nakamura, Hiroyuki Uetani, Mika Kitajima, Seitaro Oda, Tomohiro Namimoto, Takeshi Nakaura, Machiko Tateishi

Publikováno v: European journal of radiology. 108

Purpose To evaluate the performance of a machine learning method based on texture features in multi-parametric magnetic resonance imaging (MRI) to differentiate a glioblastoma multiforme (GBM) from a primary cerebral nervous system lymphoma (PCNSL).

Externí odkaz: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0bd8c7c1544a068b05e6d2a6a7283cb5
https://pubmed.ncbi.nlm.nih.gov/30396648

Zobrazit plný text záznamu

Vyhledávací nástroje:

Upřesnit hledání