Masafumi Takafuji
Overview
Explore the profile of Masafumi Takafuji including associated specialties, affiliations and a list of published articles.
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Articles
28
Citations
103
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Recent Articles
1.
Super-resolution deep learning reconstruction for improved quality of myocardial CT late enhancement
Takafuji M, Kitagawa K, Mizutani S, Hamaguchi A, Kisou R, Sasaki K, et al.
Jpn J Radiol
. 2025 Mar;
PMID: 40072715
Purpose: Myocardial computed tomography (CT) late enhancement (LE) allows assessment of myocardial scarring. Super-resolution deep learning image reconstruction (SR-DLR) trained on data acquired from ultra-high-resolution CT may improve image quality...
2.
Kagawa Y, Takafuji M, Fujita S, Kokawa T, Fukuma T, Ishida M, et al.
Int J Cardiovasc Imaging
. 2025 Jan;
41(3):419-426.
PMID: 39883382
Myocardial extracellular volume fraction (ECV) measured via MRI serves as a quantitative indicator of myocardial fibrosis. However, accurate measurement of ECV using MRI in the presence of AF is challenging....
3.
Shiomi T, Nakayama R, Hizukuri A, Takafuji M, Ishida M, Sakuma H
Radiol Phys Technol
. 2024 Dec;
18(1):219-226.
PMID: 39738880
This study aims to develop a computerized classification method for significant coronary artery stenosis on whole-heart coronary magnetic resonance angiography (WHCMRA) images using a 3D convolutional neural network (3D-CNN) with...
4.
Araki S, Nakamura S, Takafuji M, Ichikawa Y, Sakuma H, Kitagawa K
Eur Heart J Imaging Methods Pract
. 2024 Dec;
2(3):qyae125.
PMID: 39659699
Aims: Photon-counting detector computed tomography (PCD-CT), which allows the exclusion of electronic noise, shows promise for significant dose reduction in coronary CT angiography (CCTA). This study aimed to assess the...
5.
Araki S, Kitagawa K, Nakamura S, Michallek F, Kokawa T, Takafuji M, et al.
Jpn J Radiol
. 2024 Nov;
43(3):402-411.
PMID: 39487380
Purpose: Risk stratification for incidence of major adverse cardiovascular events (MACE) in patients with dialysis-dependent end-stage renal disease (dd-ESRD) is challenging. Moreover, the usefulness of coronary CT angiography (CCTA) is...
6.
Monton Quesada I, Ogier A, Ishida M, Takafuji M, Ito H, Sakuma H, et al.
Magn Reson Med
. 2024 Oct;
93(3):961-974.
PMID: 39385391
Purpose: To compare two blind source separation (BSS) techniques to principal component analysis and the electrocardiogram for the identification of cardiac triggers in self-gated free-running 5D whole-heart MRI. To ascertain...
7.
Hasegawa D, Nakamura S, Takafuji M, Sakuma H, Kitagawa K
Int J Cardiol Heart Vasc
. 2024 Sep;
55:101510.
PMID: 39324034
Background: Coronary artery disease (CAD) and coronary microvascular disease (CMD) are significant contributors to angina pectoris, necessitating reliable diagnostic techniques for effective management. While positron emission tomography has been the...
8.
Yamaguchi S, Ichikawa Y, Takafuji M, Sakuma H, Kitagawa K
J Cardiovasc Comput Tomogr
. 2024 Mar;
18(3):281-290.
PMID: 38429130
Background: The purpose of this study was to investigate the usefulness of second-generation intra-cycle motion correction algorithm (SnapShot Freeze 2, GE Healthcare, MC2) in improving the delineation and interpretability of...
9.
Fujita M, Kitagawa K, Domae K, Yamaguchi S, Kokawa T, Takafuji M, et al.
Radiol Case Rep
. 2024 Feb;
19(5):1708-1711.
PMID: 38384705
Epipericardial fat necrosis (EFN) is a rare benign cause of chest pain, that is frequently overlooked. EFN involves the necrosis of fat tissue in the mediastinum, and presents on computed...
10.
Takafuji M, Kitagawa K, Ishida M, Ichikawa Y, Nakamura S, Nakamori S, et al.
Radiol Cardiothorac Imaging
. 2024 Feb;
6(1):e249001.
PMID: 38300117
No abstract available.