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Hiroshi Hamasaki

Explore the profile of Hiroshi Hamasaki including associated specialties, affiliations and a list of published articles. Areas
Snapshot
Articles 13
Citations 39
Followers 0
Related Specialties
Radiology
General Medicine
Biomedical Engineering
Top 10 Co-Authors
Toyoyuki Kato
Takashi Shirasaka
Masatoshi Kondo
Ryoji Mikayama
Yuki Sakai
Tsukasa Kojima
Hiroshi Akamine
Kousei Ishigami
Akihiro Nishie
Yuzo Yamasaki
Published In
Biol Pharm Bull
Nihon Hoshasen Gijutsu Gakkai Zasshi
Dentomaxillofac Radiol
Jpn J Radiol
Phys Eng Sci Med
Affiliations
Soon will be listed here.
Recent Articles
1.
Noninvasive machine-learning models for the detection of lesion-specific ischemia in patients with stable angina with intermediate stenosis severity on coronary CT angiography
Hamasaki H, Arimura H, Yamasaki Y, Yamamoto T, Fukata M, Matoba T, et al.
Phys Eng Sci Med . 2024 Dec; PMID: 39739189
This study proposed noninvasive machine-learning models for the detection of lesion-specific ischemia (LSI) in patients with stable angina with intermediate stenosis severity based on coronary computed tomography (CT) angiography. This...
2.
Enantioselective Detection of Gaseous Odorants with Peptide-Graphene Sensors Operating in Humid Environments
Yamazaki Y, Hitomi T, Homma C, Rungreungthanapol T, Tanaka M, Yamada K, et al.
ACS Appl Mater Interfaces . 2024 Apr; 16(15):18564-18573. PMID: 38567738
Replicating the sense of smell presents an ongoing challenge in the development of biomimetic devices. Olfactory receptors exhibit remarkable discriminatory abilities, including the enantioselective detection of individual odorant molecules. Graphene...
3.
A deep learning model based on fusion images of chest radiography and X-ray sponge images supports human visual characteristics of retained surgical items detection
Kawakubo M, Waki H, Shirasaka T, Kojima T, Mikayama R, Hamasaki H, et al.
Int J Comput Assist Radiol Surg . 2022 Dec; 18(8):1459-1467. PMID: 36583837
Purpose: Although a novel deep learning software was proposed using post-processed images obtained by the fusion between X-ray images of normal post-operative radiography and surgical sponge, the association of the...
4.
Importance of the heart rate in ultra-high-resolution coronary CT angiography with 0.35 s gantry rotation time
Kojima T, Shirasaka T, Yamasaki Y, Kondo M, Hamasaki H, Mikayama R, et al.
Jpn J Radiol . 2022 Apr; 40(8):781-790. PMID: 35396666
Purpose: We investigated the effects of the heart rate (HR) on the motion artifact in coronary computed tomography angiography (CCTA) with ultra-high-resolution-CT (U-HRCT), and we clarified the upper limit of...
5.
Improvement of Image Quality Using Hybrid Iterative Reconstruction with Noise Power Spectrum Model in Computed Tomography During Hepatic Arteriography
Hamasaki H, Shirasaka T, Ushijima Y, Akamine H, Takayama Y, Kubo Y, et al.
J Belg Soc Radiol . 2021 Oct; 105(1):43. PMID: 34611577
Objectives: In CT during hepatic arteriography (CTHA), the addition of a noise power spectrum (NPS) model to conventional hybrid iterative reconstruction (HIR) may improve spatial resolution and reduce image noise....
6.
Image quality improvement with deep learning-based reconstruction on abdominal ultrahigh-resolution CT: A phantom study
Shirasaka T, Kojima T, Funama Y, Sakai Y, Kondo M, Mikayama R, et al.
J Appl Clin Med Phys . 2021 Jun; 22(7):286-296. PMID: 34159736
Purpose: In an ultrahigh-resolution CT (U-HRCT), deep learning-based reconstruction (DLR) is expected to drastically reduce image noise without degrading spatial resolution. We assessed a new algorithm's effect on image quality...
7.
Metal artefact reduction in the oral cavity using deep learning reconstruction algorithm in ultra-high-resolution computed tomography: a phantom study
Sakai Y, Kitamoto E, Okamura K, Tatsumi M, Shirasaka T, Mikayama R, et al.
Dentomaxillofac Radiol . 2021 Apr; 50(7):20200553. PMID: 33914646
Objectives: This study aimed to improve the impact of the metal artefact reduction (MAR) algorithm for the oral cavity by assessing the effect of acquisition and reconstruction parameters on an...
8.
X-ray dose reduction using additional copper filtration for dental cone beam CT
Kuramoto T, Takarabe S, Shiotsuki K, Shibayama Y, Hamasaki H, Akamine H, et al.
Phys Med . 2020 Dec; 81:302-307. PMID: 33349541
This study aims to quantitatively evaluate the effect of additional copper-filters (Cu-filters) on the radiation dose and contrast-to-noise ratio (CNR) in a dental cone beam computed tomography (CBCT). The Cu-filter...
9.
Low Radiation Dose and High Image Quality of 320-Row Coronary Computed Tomography Angiography Using a Small Dose of Contrast Medium and Refined Scan Timing Prediction
Shirasaka T, Nagao M, Yamasaki Y, Kojima T, Kondo M, Hamasaki H, et al.
J Comput Assist Tomogr . 2020 Jan; 44(1):7-12. PMID: 31939875
Objective: The aim of the study was to investigate the feasibility of coronary computed tomography (CT) angiography with a low kilovoltage peak scan and a refined scan timing prediction using...
10.
[Improvement of Image Quality in the Axial Section Using High-resolution Scan Mode and Hybrid Iterative Reconstruction in Ultra-high-resolution Computed Tomography]
Sakai Y, Shirasaka T, Kondo M, Hamasaki H, Mikayama R, Matsumoto R, et al.
Nihon Hoshasen Gijutsu Gakkai Zasshi . 2018 Dec; 74(12):1419-1427. PMID: 30568092
The purpose of this study is to compare the physical characteristics and visibility of high-resolution and conventional images acquired with the same X-ray dose, and to investigate the superiority of...