研究者氏名	植田高弘
	ウエダタカヒロ
URL	http://radiology.fujita-hu.jp
所属	藤田医科大学
部署	医学部医学科放射線診断学
職名	講師
学位	医学博士(藤田保健衛生大学)
J-Global ID	201501013393490269

研究分野

ライフサイエンス / 産婦人科学 /
ライフサイエンス / 放射線科学 /

経歴

2024年1月

現在

藤田医科大学医学部放射線診断学講師

2020年4月

現在

藤田医科大学先端画像診断講師（兼務）

2020年4月

現在

藤田医科大学ばんたね病院放射線科講師（出向）

2020年4月

2023年12月

藤田医科大学医学部放射線医学講師

学歴

2012年4月

2017年3月

藤田医科大学大学院医学研究科

2004年4月

2010年3月

藤田医科大学医学部医学科

委員歴

2023年12月

現在

日本医学放射線学会診療・ガイドライン委員会婦人科小委員会委員

2021年9月

現在

日本磁気共鳴医学会代議員

受賞

2020年12月

画論28th The Best Image, MR 1.5テスラ以下部門優秀賞,AiCEを用いたBreath Hold 3D MRCP

論文

<123 4 5 >

Capability for dose reduction while maintaining nodule detection: Comparison of silver and copper X-ray spectrum modulation filters for chest CT using a phantom study with different reconstruction methods.

Yuka Oshima Yoshiharu Ohno Daisuke Takenaka Yuya Ito Hirona Kimata Kenji Fujii Naruomi Akino Nayu Hamabuchi Takahiro Matsuyama Hiroyuki Nagata Takahiro Ueda Hirotaka Ikeda Yoshiyuki Ozawa Takeshi Yoshikawa Hiroshi Toyama

European journal of radiology 166 110969-110969 2023年9月

PURPOSE: To compare the capability of CTs obtained with a silver or copper x-ray beam spectral modulation filter (Ag filter and Cu filter) and reconstructed with FBP, hybrid-type IR and deep learning reconstruction (DLR) for radiation dose reducti...

Pulmonary MRI with ultra-short TE using single- and dual-echo methods: comparison of capability for quantitative differentiation of non- or minimally invasive adenocarcinomas from other lung cancers with that of standard-dose thin-section CT.

Yoshiharu Ohno Masao Yui Kaori Yamamoto Masato Ikedo Yuka Oshima Nayu Hamabuchi Satomu Hanamatsu Hiroyuki Nagata Takahiro Ueda Hirotaka Ikeda Daisuke Takenaka Takeshi Yoshikawa Yoshiyuki Ozawa Hiroshi Toyama

European radiology 2023年8月

OBJECTIVE: The purpose of this study was thus to compare capabilities for quantitative differentiation of non- and minimally invasive adenocarcinomas from other of pulmonary MRIs with ultra-short TE (UTE) obtained with single- and dual-echo techni...

Area-Detector Computed Tomography for Pulmonary Functional Imaging.

Yoshiharu Ohno Yoshiyuki Ozawa Hiroyuki Nagata Shuji Bando Shang Cong Tomoki Takahashi Yuka Oshima Nayu Hamabuchi Takahiro Matsuyama Takahiro Ueda Takeshi Yoshikawa Daisuke Takenaka Hiroshi Toyama

Diagnostics (Basel, Switzerland) 13(15) 2023年7月

An area-detector CT (ADCT) has a 320-detector row and can obtain isotropic volume data without helical scanning within an area of nearly 160 mm. The actual-perfusion CT data within this area can, thus, be obtained by means of continuous dynamic sc...

Effectiveness of deep learning reconstruction on standard to ultra-low-dose high-definition chest CT images.

Nayu Hamabuchi Yoshiharu Ohno Hirona Kimata Yuya Ito Kenji Fujii Naruomi Akino Daisuke Takenaka Takeshi Yoshikawa Yuka Oshima Takahiro Matsuyama Hiroyuki Nagata Takahiro Ueda Hirotaka Ikeda Yoshiyuki Ozawa Hiroshi Toyama

Japanese journal of radiology 2023年7月

PURPOSE: Deep learning reconstruction (DLR) has been introduced by major vendors, tested for CT examinations of a variety of organs, and compared with other reconstruction methods. The purpose of this study was to compare the capabilities of DLR f...

Advances for Pulmonary Functional Imaging: Dual-Energy Computed Tomography for Pulmonary Functional Imaging

Yoshiyuki Ozawa Yoshiharu Ohno Hiroyuki Nagata Keigo Tamokami Keitaro Nishikimi Yuka Oshima Nayu Hamabuchi Takahiro Matsuyama Takahiro Ueda Hiroshi Toyama

Diagnostics 13(13) 2295-2295 2023年7月

Dual-energy computed tomography (DECT) can improve the differentiation of material by using two different X-ray energy spectra, and may provide new imaging techniques to diagnostic radiology to overcome the limitations of conventional CT in charac...

MISC

12 3 4 5 >

Chest Magnetic Resonance Imaging: Advances and Clinical Care

Yoshiyuki Ozawa Hiroyuki Nagata Takahiro Ueda Yuka Oshima Nayu Hamabuchi Takeshi Yoshikawa Daisuke Takenaka Yoshiharu Ohno

Clinics in Chest Medicine 2024年

Precision Medicine時代のAbdominal Imaging 2022 腹部画像診断の最新動向とすぐそこの未来に備えて【前編:MRI,US,IT】II MRI:腹部領域における技術の到達点および臨床の最前線 1.MRIによる腹部画像診断の最新動向と未来への展望 3)腹部骨盤部領域におけるディープラーニング画像再構成および高速撮像法などのMRIのトピックス

植田高弘

Innervision 37(3) 2022年

1.5T DLR-MRIの新たな可能性~検査の安定性向上をめざして~

植田高弘

Innervision 37(6) 2022年

新Operation System Softwareにおけるアーチファクト低減技術の臨床活用

大野良治大野良治大島夕佳古田みなみ濱渕菜邑花松智武小濱佑樹永田紘之植田高弘池田裕隆村山和宏小澤良之外山宏

映像情報Medical 54(14) 71-76 2022年

Delayed CSF Enhancementを認めたPRESの1例

竹中章倫村山和宏植田高弘鱸成隆外山宏峯澤智之

Japanese Journal of Radiology 38(Suppl.) 24-24 2020年2月

講演・口頭発表等

12 3 4 5 >

Contrast-enhanced 3D T1-weighted image with Compressed sensing and Fast 3D wheel technique on women’s pelvic MRI: Utility for improving image quality and acquisition time as compared with conventional contrast-enhanced 3D T1-weighted image.

Ueda T Ohno Y Yamamoto K Yazawa N Tozawa I Fukuba T Sato M Katagiri M Ikedo M Yui M Matsuyama T Watanabe A Nagata H Toyama H

RSNA 2023 2023年11月27日

Contrast-enhanced 3D T1-weighted image with Compressed sensing and Fast 3D wheel technique: Efficacy for Women’s Pelvic MRI

Takahiro Ueda Yoshiharu Ohno Kaori Yamamoto Natsuka Yazawa Ikki Tozawa Masato Ikedo Masao Yui Takahiro Matsuyama Hiroyuki Nagata Hiroshi Toyama

51st Annual Meeting of JSMRM 2023 2023年9月23日

Reverse Encoding Distortion Correction for DWI: Utility for Improving Image Quality and ADC Evaluation for Differentiating Malignant from Benign Prostatic Areas

Takahiro Ueda Yoshiharu Ohno Maiko Shinohara Kaori Yamamoto Masato Ikedo Masao Yui Akiyoshi Iwase Minami Furuta Yuki Obama Hiroyuki Nagata Hirotaka Ikeda Yoshiyuki Ozawa Hiroshi Toyama

ISMRM 2023年6月

Evaluation for Image Quality Improvement between Women’s Pelvic Diffusion-Weighted Imaging with and without Reverse Encoding Distortion Correction at a 1.5 T MR System

Takahiro Ueda Yoshiharu Ohno Kaori Yamamoto Natsuka Yazawa Ikki Tozawa Takashi Fukuba Masato Ikedo Masao Yui Takahiro Matsuyama Ayumi Watanabe Hiroyuki Nagata Hiroshi Toyama

ISMRM 2023年6月

Comparison of Capability for Image Quality Improvements between Women’s Pelvic Diffusion-Weighted Imaging with and without Reverse Encoding Distortion Correction at a 1.5 T MR System

Takahiro Ueda Yoshiharu Ohno Kaori Yamamoto Natsuka Yazawa Ikki Tozawa Takashi Fukuba Masayuki Sato Motohiro Katagiri Masato Ikedo Masao Yui Takahiro Matsuyama Ayumi Watanabe Hiroyuki Nagata Hiroshi Toyama

RSNA 2022 2022年11月