研究者氏名	辻本正和
	ツジモトマサカズ
URL
所属	藤田医科大学
部署	医療科学部臨床教育連携ユニット診断機器工学
職名	講師
学位	博士（医学）(藤田医科大学)
その他の所属	医学部医学科放射線医学
J-Global ID	202201001862018840

研究キーワード

核医学 ,SPECT/CT

研究分野

ライフサイエンス / 放射線科学 /

経歴

12 >

2024年4月

現在

藤田医科大学医療科学部臨床教育連携ユニット診断機器工学分野講師

2018年10月

現在

藤田医科大学医学部放射線医学教室特別研究員

2023年4月

2024年3月

藤田医科大学病院放射線部主任

2019年4月

2024年3月

藤田医科大学医療科学部放射線学科兼任講師

2018年10月

2019年3月

藤田医科大学医療科学部放射線学科兼任助教

学歴

2014年4月

2016年3月

藤田医科大学大学院保健学研究科修士課程

2005年4月

2009年3月

藤田医科大学医療科学部放射線学科

受賞

2017年11月

優秀賞,第10回中部放射線医療技術学術大会
辻本正和奥井太郎小林義和石黒雅伸木野村豊松清亮太田誠一郎外山宏

論文

<1 234 >

Multiplanar analysis for pulmonary nodule classification in CT images using deep convolutional neural network and generative adversarial networks.

Yuya Onishi Atsushi Teramoto Masakazu Tsujimoto Tetsuya Tsukamoto Kuniaki Saito Hiroshi Toyama Kazuyoshi Imaizumi Hiroshi Fujita

International journal of computer assisted radiology and surgery 15(1) 173-178 2020年1月 [査読有り]

PURPOSE: Early detection and treatment of lung cancer holds great importance. However, pulmonary-nodule classification using CT images alone is difficult to realize. To address this concern, a method for pulmonary-nodule classification based on a ...

Prediction of pulmonary function after major lung resection using lung perfusion scintigraphy with single-photon emission computed tomography/computed tomography.

Hiroshi Kawai Toru Kawakami Masakazu Tsujimoto Ayami Fukushima Satomi Isogai Hisato Ishizawa Hiromitsu Nagano Takahiro Negi Daisuke Tochii Sachiko Tochii Takashi Suda Hiroshi Toyama Yasushi Hoshikawa

Fujita medical journal 6(2) 37-48 2020年 [査読有り]

OBJECTIVE: Precise prediction of postoperative pulmonary function is extremely important for accurately evaluating the risk of perioperative morbidity and mortality after major surgery for lung cancer. This study aimed to compare the accuracy of a...

Nonuniform sampling pitch acquisition method in myocardial single-photon emission computed tomography.

Seiji Shirakawa Kei Tsukamoto Hiroyuki Azuma Kazutaka Nakashima Masakazu Tsujimoto Kazuki Takano Masayuki Yamada

Nuclear medicine communications 40(8) 792-801 2019年8月 [査読有り]

BACKGROUND: Single-photon emission computed tomography is a tomographic imaging method that acquires a projection image by rotating a gamma camera around by 380° or 180°. For myocardial single-photon emission computed tomography, 180° acquisition ...

Automated Classification of Pulmonary Nodules through a Retrospective Analysis of Conventional CT and Two-phase PET Images in Patients Undergoing Biopsy.

Atsushi Teramoto Masakazu Tsujimoto Takahiro Inoue Tetsuya Tsukamoto Kazuyoshi Imaizumi Hiroshi Toyama Kuniaki Saito Hiroshi Fujita

Asia Oceania journal of nuclear medicine & biology 7(1) 29-37 2019年 [査読有り]

OBJECTIVES: Positron emission tomography/computed tomography (PET/CT) examination is commonly used for the evaluation of pulmonary nodules since it provides both anatomical and functional information. However, given the dependence of this evaluati...

Automated Pulmonary Nodule Classification in Computed Tomography Images Using a Deep Convolutional Neural Network Trained by Generative Adversarial Networks.

Yuya Onishi Atsushi Teramoto Masakazu Tsujimoto Tetsuya Tsukamoto Kuniaki Saito Hiroshi Toyama Kazuyoshi Imaizumi Hiroshi Fujita

BioMed research international 2019 6051939-6051939 2019年 [査読有り]

Lung cancer is a leading cause of death worldwide. Although computed tomography (CT) examinations are frequently used for lung cancer diagnosis, it can be difficult to distinguish between benign and malignant pulmonary nodules on the basis of CT i...