TORU HIGAKI
Last Updated :2025/04/03
- Affiliations, Positions
- Graduate School of Advanced Science and Engineering, Associate Professor
- Web Site
- Self-introduction
- My speciality is image engineering, especially medical image processing is my main research topic.
Basic Information
Academic Degrees
- Doctor of Engineering, Hiroshima University
- Master of Engineering, Hiroshima University
Research Fields
- Complex systems;Biomedical engineering;Medical systems
Research Keywords
Educational Activity
Course in Charge
- 2025, Undergraduate Education, Intensive, Practice for medical research
- 2025, Undergraduate Education, Intensive, Practice of Medicine I
- 2025, Undergraduate Education, Intensive, Practice of Medicine II
- 2025, Undergraduate Education, 2Term, Image Processing
- 2025, Undergraduate Education, 1Term, Informatics and Data Science Exercise I
- 2025, Undergraduate Education, Intensive, Long-term Fieldwork I
- 2025, Undergraduate Education, 1Term, Intelligence Science Seminar I
- 2025, Undergraduate Education, 2Term, Intelligence Science Seminar II
- 2025, Undergraduate Education, Second Semester, Graduation Thesis
- 2025, Graduate Education (Master's Program) , 1Term, Special Exercises on Informatics and Data Science A
- 2025, Graduate Education (Master's Program) , 2Term, Special Exercises on Informatics and Data Science A
- 2025, Graduate Education (Master's Program) , 3Term, Special Exercises on Informatics and Data Science B
- 2025, Graduate Education (Master's Program) , 4Term, Special Exercises on Informatics and Data Science B
- 2025, Graduate Education (Master's Program) , Academic Year, Special Study on Informatics and Data Science
- 2025, Undergraduate Education, First Semester, International Co-creation Workshop
Research Activities
Academic Papers
- Acquiring Spectral Scattering Properties of Seawater from an RGB Image, Proc. 2023 International Workshop on Advanced Image Technology (IWAIT 2023), 20230109
- Reproduction of Color Vision Deficiency Considering Spectrum, Proc. 2023 International Workshop on Advanced Image Technology (IWAIT 2023), 20230109
- Utility of Wavelet Denoising with Geometry Factor Weighting for Gadoxetic Acid-enhanced Hepatobiliary-phase MR Imaging, MAGNETIC RESONANCE IN MEDICAL SCIENCES, 22(2), 241-252, 2023
- An introduction to photon-counting detector CT (PCD CT) for radiologists, JAPANESE JOURNAL OF RADIOLOGY, 41(3), 266-282, 202303
- Performance of Ultra-High-Resolution Computed Tomography in Super High-Resolution Mode at the Routine Radiation Dose: Phantom Study, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 46(6), 900-905, 2022
- Usefulness of the patient-specific contrast enhancement optimizer simulation software during the whole-body computed tomography angiography, HEART AND VESSELS, 37(8), 1446-1452, 202208
- Dual-energy CT: minimal essentials for radiologists, JAPANESE JOURNAL OF RADIOLOGY, 40(6), 547-559, 202206
- Utility of Radial Scanning for the Identification of Arterial Hypervascularity of Hepatocellular Carcinoma on Gadoxetic Acid-Enhanced Magnetic Resonance Images, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 45(3), 359-366, 2021
- Prediction of Aortic Contrast Enhancement on Dynamic Hepatic Computed Tomography-Performance Comparison of Machine Learning Methods and Simulation Software, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 46(2), 183-189, 2022
- Re-evaluation of detectability of liver metastases by contrast-enhanced CT: added value of hepatic arterial phase imaging, JAPANESE JOURNAL OF RADIOLOGY, 32(8), 467-475, 201408
- Measurement of Electron Density and Effective Atomic Number by Dual-Energy Scan Using a 320-Detector Computed Tomography Scanner with Raw Data-Based Analysis: A Phantom Study, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 38(6), 824-827, 2014
- A new technique for noise reduction at coronary CT angiography with multi-phase data-averaging and non-rigid image registration, EUROPEAN RADIOLOGY, 25(1), 41-48, 201501
- Radiation dose reduction for coronary artery calcium scoring at 320-detector CT with adaptive iterative dose reduction 3D, INTERNATIONAL JOURNAL OF CARDIOVASCULAR IMAGING, 31(5), 1045-1052, 201506
- Clinical utility of gadoxetate disodium-enhanced hepatic MRI for stereotactic body radiotherapy of hepatocellular carcinoma, JAPANESE JOURNAL OF RADIOLOGY, 33(10), 627-635, 201510
- Cerebral blood flow in transient hypothyroidism after thyroidectomy: Arterial spin labeling magnetic resonance study, NEUROENDOCRINOLOGY LETTERS, 36(6), 545-551, 2015
- Changes in the regional cerebral blood flow detected by arterial spin labeling after 6-week escitalopram treatment for major depressive disorder, JOURNAL OF AFFECTIVE DISORDERS, 194, 135-143, 201604
- Effect of the Motion Correction Technique on Image Quality at 320-Detector Computed Tomography Coronary Angiography in Patients With Atrial Fibrillation, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 40(4), 603-608, 2016
- Additional Value of Diffusion-weighted MRI to Gd-EOB-DTPA-enhanced Hepatic MRI for the Detection of liver Metastasis:the Difference Depending on the Experience of the Radiologists., Hiroshima Journal of Medical Sciences, 64, 15-21, 2015
- Diagnostic Performance of Positron Emission Tomography for the Presurgical Evaluation of Patients with Non-lesional Intractable Partial Epilepsy: Comparison among 18F-FDG, 11C-Flumazenil, and 11C-Flumazenil Binding Potential Imaging Using Statistical Imaging Analysis., Hiroshima Journal of Medical Sciences., 64, 51-57, 2015
- Coronary CT angiography in patients with implanted cardiac devices: initial experience with the metal artefact reduction technique, BRITISH JOURNAL OF RADIOLOGY, 89(1067), 2016
- Effects of Iterative Reconstruction Algorithms on Computer-assisted Detection (CAD) Software for Lung Nodules in Ultra-low-dose CT for Lung Cancer Screening, ACADEMIC RADIOLOGY, 24(2), 124-130, 201702
- Sarcopenia is closely associated with pancreatic exocrine insufficiency in patients with pancreatic disease, PANCREATOLOGY, 17(1), 70-75, 2017
- Aortic and Hepatic Contrast Enhancement During Hepatic-Arterial and Portal Venous Phase Computed Tomography Scanning: Multivariate Linear Regression Analysis Using Age, Sex, Total Body Weight, Height, and Cardiac Output, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 41(2), 309-314, 2017
- Lung cancer screening with ultra-low dose CT using full iterative reconstruction, JAPANESE JOURNAL OF RADIOLOGY, 35(4), 179-189, 201704
- Diffusion-weighted MR imaging of non-complicated hepatic cysts: Value of 3T computed diffusion-weighted imaging, EUROPEAN JOURNAL OF RADIOLOGY OPEN, 3, 138-144, 2016
- Paradoxical Effect of Cardiac Output on Arterial Enhancement at Computed Tomography: Does Cardiac Output Reduction Simply Result in an Increase in Aortic Peak Enhancement?, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 41(3), 349-353, 2017
- Functional image-guided stereotactic body radiation therapy planning for patients with hepatocellular carcinoma, MEDICAL DOSIMETRY, 42(2), 97-103, 2017
- Coronary Artery Stent Evalurtion with Modell-based lteratilve Reconstruction Coronary CT Angiography, ACADEMIC RADIOLOGY, 24(8), 975-981, 201708
- Hepatocellular carcinoma treated with sorafenib: Arterial tumor perfusion in dynamic contrast-enhanced CT as early imaging biomarkers for survival, EUROPEAN JOURNAL OF RADIOLOGY, 98, 41-49, 201801
- Accuracy of the raw-data-based effective atomic numbers and monochromatic CT numbers for contrast medium with a dual-energy CT technique, BRITISH JOURNAL OF RADIOLOGY, 91(1082), 2018
- Diagnostic accuracy of in-stent restenosis using model-based iterative reconstruction at coronary CT angiography: initial experience, BRITISH JOURNAL OF RADIOLOGY, 91(1082), 2018
- ★, Effect of contrast material injection duration on arterial enhancement at CT in patients with various cardiac indices: Analysis using computer simulation, PLOS ONE, 13(2), 20180223
- Effect of Patient Characteristics on Vessel Enhancement at Lower Extremity CT Angiography, KOREAN JOURNAL OF RADIOLOGY, 19(2), 265-271, 2018
- Quantification of the salivary volume flow rate in the parotid duct using the time-spatial labeling inversion pulse (Time-SLIP) technique at MRI: A feasibility study, JOURNAL OF MAGNETIC RESONANCE IMAGING, 47(4), 928-935, 201804
- Imaging features of papillary renal cell carcinoma with cystic change-dominant appearance in the era of the 2016 WHO classification, ABDOMINAL RADIOLOGY, 42(7), 1850-1856, 201707
- Preliminary Results of High-Precision Computed Diffusion Weighted Imaging for the Diagnosis of Hepatocellular Carcinoma at 3 Tesla, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 42(3), 373-379, 2018
- ★, Introduction to the Technical Aspects of Computed Diffusion-weighted Imaging for Radiologists, RADIOGRAPHICS, 38(4), 1131-1144, 2018
- Improved differentiation between high- and low-grade gliomas by combining dual-energy CT analysis and perfusion CT, MEDICINE, 97(32), 201808
- Automatic contrast medium extraction system using electron density data with dual-energy CT, BRITISH JOURNAL OF RADIOLOGY, 91(1090), 2018
- Development and Validation of Generalized Linear Regression Models to Predict Vessel Enhancement on Coronary CT Angiography, KOREAN JOURNAL OF RADIOLOGY, 19(6), 1021-1030, 2018
- Neointimal formation after carotid artery stenting: phantom and clinical evaluation of model-based iterative reconstruction (MBIR), EUROPEAN RADIOLOGY, 29(1), 161-167, 201901
- Improvement of image quality at CT and MRI using deep learning, JAPANESE JOURNAL OF RADIOLOGY, 37(1), 73-80, 201901
- Clinical application of radiation dose reduction at abdominal CT, EUROPEAN JOURNAL OF RADIOLOGY, 111, 68-75, 201902
- How to Improve the Conspicuity of Breast Tumors on Computed High b-value Diffusion-weighted Imaging, MAGNETIC RESONANCE IN MEDICAL SCIENCES, 18(2), 119-125, 2019
- Minimizing individual variations in arterial enhancement on coronary CT angiographs using "contrast enhancement optimizer": a prospective randomized single-center study, EUROPEAN RADIOLOGY, 29(6), 2998-3005, 201906
- Visualization of simulated small vessels on computed tomography using a model-based iterative reconstruction technique, DATA IN BRIEF, 13, 437-443, 201708
- Effect of Patient Characteristics on Vessel Enhancement in Pediatric Chest Computed Tomography Angiography, CANADIAN ASSOCIATION OF RADIOLOGISTS JOURNAL-JOURNAL DE L ASSOCIATION CANADIENNE DES RADIOLOGISTES, 70(2), 181-185, 201905
- Machine-learning integration of CT histogram analysis to evaluate the composition of atherosclerotic plaques: Validation with IB-IVUS, JOURNAL OF CARDIOVASCULAR COMPUTED TOMOGRAPHY, 13(2), 163-169, 2019
- Improving automatic contrast agent extraction system using monochromatic CT number, AUSTRALASIAN PHYSICAL & ENGINEERING SCIENCES IN MEDICINE, 42(3), 819-826, 201909
- Deep learning-based image restoration algorithm for coronary CT angiography, EUROPEAN RADIOLOGY, 29(10), 5322-5329, 201910
- Evaluation of raw-data-based and calculated electron density for contrast media with a dual-energy CT technique, REPORTS OF PRACTICAL ONCOLOGY AND RADIOTHERAPY, 24(5), 499-506, 2019
- Deep learning reconstruction improves image quality of abdominal ultra-high-resolution CT, EUROPEAN RADIOLOGY, 29(11), 6163-6171, 201911
- Clinical staging of upper urinary tract urothelial carcinoma for T staging: Review and pictorial essay, INTERNATIONAL JOURNAL OF UROLOGY, 26(11), 1024-1032, 201911
- ★, Deep Learning Reconstruction at CT: Phantom Study of the Image Characteristics, ACADEMIC RADIOLOGY, 27(1), 82-87, 202001
- Contrast enhancement on 100-and 120 kVp hepatic CT scans at thin adults in a retrospective cohort study Bayesian inference of the optimal enhancement probability, MEDICINE, 98(47), 201911
- Pseudo-random Trajectory Scanning Suppresses Motion Artifacts on Gadoxetic Acid-enhanced Hepatobiliary-phase Magnetic Resonance Images, MAGNETIC RESONANCE IN MEDICAL SCIENCES, 19(1), 21-28, 2020
- Deep Learning–based CT Image Reconstruction: Initial Evaluation Targeting Hypovascular Hepatic Metastases, Radiology: Artificial Intelligence, 1(6), 20191009
- Possibility of Deep Learning in Medical Imaging Focusing Improvement of Computed Tomography Image Quality, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 44(2), 161-167, 2020
- Individual Optimization of Contrast Media Injection Protocol at Hepatic Dynamic Computed Tomography Using Patient-Specific Contrast Enhancement Optimizer, JOURNAL OF COMPUTER ASSISTED TOMOGRAPHY, 44(2), 230-235, 2020
- Evaluation of metal artefact techniques with same contrast scale for different commercially available dual-energy computed tomography scanners, PHYSICAL AND ENGINEERING SCIENCES IN MEDICINE, 43(2), 539-546, 202006
- Deep learning reconstruction of drip-infusion cholangiography acquired with ultra-high-resolution computed tomography, ABDOMINAL RADIOLOGY, 45(9), 2698-2704, 202009
- Measurement of coronary artery calcium volume using ultra-high-resolution computed tomography: A preliminary phantom and cadaver study, EUROPEAN JOURNAL OF RADIOLOGY OPEN, 7, 2020
- A primer for understanding radiology articles about machine learning and deep learning, DIAGNOSTIC AND INTERVENTIONAL IMAGING, 101(12), 765-770, 202012
- Deep learning reconstruction of equilibrium phase CT images in obese patients, EUROPEAN JOURNAL OF RADIOLOGY, 133, 202012
- Prospective Memory Deficits in Multiple Sclerosis: Voxel-based Morphometry and Double Inversion Recovery Analysis, INTERNAL MEDICINE, 60(1), 39-46, 2021
- Computer Simulation of the Effects of Contrast Protocols on Aortic Signal Intensity on Magnetic Resonance Angiograms, CURRENT MEDICAL IMAGING, 17(3), 396-403, 2021
- Diagnostic value of deep learning reconstruction for radiation dose reduction at abdominal ultra-high-resolution CT, EUROPEAN RADIOLOGY, 31(7), 4700-4709, 202107
- Advanced CT techniques for assessing hepatocellular carcinoma, RADIOLOGIA MEDICA, 126(7), 925-935, 202107
- Tumor heterogeneity evaluated by computed tomography detects muscle-invasive upper tract urothelial carcinoma that is associated with inflammatory tumor microenvironment, SCIENTIFIC REPORTS, 11(1), 20210709
- Incidence and factor analysis of laryngohyoid fractures in hanging individuals-computed tomography study, EUROPEAN RADIOLOGY, 31(10), 7827-7833, 202110
- Accuracy of thin-slice model-based iterative reconstruction designed for brain CT to diagnose acute ischemic stroke in the middle cerebral artery territory: a multicenter study, NEURORADIOLOGY, 63(12), 2013-2021, 202112
Invited Lecture, Oral Presentation, Poster Presentation
- Reproduction of Color Vision Deficiency Considering Spectrum, Haruya Takahashi, Toru Higaki, Raytchev Bisser, Kazufumi Kaneda, International Workshop on Advanced Image Technology (IWAIT 2023), 2023/01/09, Without Invitation, English
- Acquiring Spectral Scattering Properties of Seawater from an RGB Image, Tomoya Wakasugi, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda, Masashi Baba, International Workshop on Advanced Image Technology (IWAIT 2023), 2023/01/09, Without Invitation, English
- Semiquantitative evaluation of image quality of clinical CT images by radiologists: From physical evaluation of phantom to semiquantitative evaluation of clinical images, Kawashita I, Higaki T, Nakamura Y, Tatsugami F, Fukumoto W, Awai K, RSNA2022, 2022/11/27, Without Invitation, English
- Age estimation of cadavers using deep learning and postmortem CT images of the vertebral, Kawashita I, Fukumoto W, Higaki T, Mitani H, Chosa K, Awai K, RSNA2022, 2022/11/27, Without Invitation, English
- Importance of larger reconstruction matrix sizes for super-resolution deep Learning reconstruction, Higaki T, Tatsugami F, Nakamura Y, Kawashita I, Matsuura M, Awai K, RSNA2022, 2022/11/27, Without Invitation, English
- Utility of variable-rate contrast medium injection at computed tomography: A simulation study, Higaki T, Nakamura Y, Tatsugami F, Raytchev B, Kaneda K, Awai K, RSNA2022, 2022/11/27, Without Invitation, English
- Real-time volume rendering running on an AR device in medical applications., Kota Hashimoto, Toru Higaki, Raytchev Bisser Roumenov, Kazufumi Kaneda., International Workshop on Advanced Image Technology 2022 (IWAIT 2022), 2022/01/04, Without Invitation, English
- Multiple-Branch Deep Neural Network for Spectral Super-Resolution., Yuki Mikamoto, Masahiro Sakamoto, Toru Higaki, Bisser Raytchev, Kazufumi Kaneda., 28th International Workshop on Frontiers of Computer Vision (IW-FCV 2022), 2022/02/21, Without Invitation, Japanese
- Accuracy of CT number on virtual non-contrast enhanced images generated from stochastic material decomposition., Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Fukumoto W, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
- Physical characteristics of a new photon-counting detector CT: comparison of the spatial resolution with that on conventional energy-integrated detector CT scans., Higaki T, Kondo S, Teramoto F, Tsuchida R, Takahashi I, Yoshida R, Goto T, Nakamura Y, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
- Measurement of directional task-based modulation transfer function at abdominal CT: a phantom study., Higaki T, Yokomachi K, Fujioka C, Nishimaru E, Nakamura Y, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
- Physical characteristics of a new photon-counting detector CT scanner: comparison of the contrast-to-noise ratio and the noise power spectrum with those on conventional energy-integrated detector CT., Higaki T, Kondo S, Yokoi K, Kojima S, Takahashi I, Aoki Y, Watanabe F, Nakamura Y, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
- Super-resolution deep learning reconstruction at CT: a phantom study for coronary CT angiography., Higaki T, Tatsugami F, Matsuura M, Taguchi H, Tsushima S, Nakamura Y, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
- Various applications of deep learning-based reconstruction at CT: denoise, dual-energy CT, and super-resolution., Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Tsushima S, Taguchi H, Matsuura M, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
- Deep learning based spectral CT imaging for quantifying contrast medium enhancement and washout in hepatocellular carcinomas: comparison of iodine maps and virtual monochromatic images., Narita K, Nakamura Y, Higaki T, Kondo S, Honda Y, Kawashita I, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
- Easy introduction of the photon counting detector CT (PCD-CT) for radiologists., Kondo S, Higaki T, Nakamura Y, Takahashi I, Goto T, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
- A new MRI technique for the detailed inspection of compact bone: phantom and preliminary clinical study, Sueoka T, Kawashita I, Higaki T, Honda Y, Nishihara T, Tatsugami F, Nakamura Y, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
- Improvement of spatial resolution by using super-resolution deep learning reconstruction at coronary CT angiography., Tatsugami F, Higaki T, Matsuura M, Taguchi H, Tsushima S, Awai K., RSNA2021, 2021/11/28, Without Invitation, English
- Radiation dose reduction at abdominal ultra-high-resolution CT with deep learning reconstruction., Narita K, Nakamura Y, Higaki T, Akagi M, Honda Y, Awai K, et al., RSNA2020, 2020/11/29, Without Invitation, English
- Utility of deep learning reconstruction of equilibrium phase images in obese patients., Akagi M, Nakamura Y, Narita K, Honda Y, Higaki T, Awai K, et al., RSNA2020, 2020/11/29, Without Invitation, English
- Utility of iterative noise reduction for gadoxetic acid-enhanced hepatobiliary-phase magnetic resonance imaging., Narita K, Nakamura Y, Higaki T, Nishihara T, Bito Y, Awai K, et al., RSNA2020, 2020/11/29, Without Invitation, English
- Image characteristics of deep-learning-based rapid kV switching dual energy CT scans: A phantom study., Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Fujioka C, Awai K, et al., RSNA2020, 2020/11/29, Without Invitation, English
- Maximization of the diagnostic ability of ultra-high-resolution CT: optimal scan parameters and image reconstruction techniques., Higaki T, Nakamura Y, Akagi M, Fukumot W, Tatsugami F, Awai K., RSNA2020, 2020/11/29, Without Invitation, English
- Contrast enhancement protocol at CT: basics and advanced optimization using computer simulation., Higaki T, Matsumot Y, Tatsugami F, Nakamura Y, Fukumoto W, Awai K., RSNA2020, 2020/11/29, Without Invitation, English
- The usefulness of low dose- and 4-dimensional CT imaging using a deep learning reconstruction., Tatsugami F, Higaki T, Mitani H, Sueoka T, Fujioka C, Awai K, et al., RSNA2020, 2020/11/29, Without Invitation, English
- Basic physical information for radiologists wishing to fully utilize the capability of dual-energy CT., Higaki T, Nakamura Y, Tatsugami F, Sueoka T, Honda Y, Awai K, et al., RSNA2020, 2020/11/29, Without Invitation, English
- The clinical evaluation of the upper urinary tract cancer: what radiologists should know., Honda Y, Nakamura Y, Akagi M, Narita K, Higaki T, Awai K, et al., RSNA2020, 2020/11/29, Without Invitation, English
- Abdominal deep leaning spectral imaging: image quality of virtual monochromatic images in the equilibrium phase, Nakamura Y, Higaki T, Akagi M, Narita K, Honda Y, Taguchi H, Tsushima S, Awai K., ECR2020, 2020/07/15, Without Invitation, English
- Improvement of image quality by using deep learning image reconstruction at coronary CT angiography performed with high-definition scan mode., Tatsugami F, Higaki T, Fukumoto W, Nakamura Y, Fujioka C, Iida M, Awai K, ECR2020, 2020/07/15, Without Invitation, English
- Radiation dose optimization using automatic exposure control at rapid kV-switching dual-energy CT with deep learning technology: Feasibility study using a phantom, Higaki T, Nakamura Y, Tatsugami F, Honda Y, Fujioka C, Awai K, ECR2020, 2020/07/15, Without Invitation, English
- Utility of framework software to support medical image processing, Higaki T, Tatsugami F, Nakamura Y, Kaichi Y, Itada Y, Awai K, ECR2020, 2020/07/15, Without Invitation, English
- Radiation dose reduction for coronary CT angiography using deep learning reconstruction: A phantom study, Higaki T, Tatsugami F, Nakamura Y, Fukumoto W, Fujioka C, Awai K, ECR2020, 2020/07/15, Without Invitation, English
- Dual-energy CT of the renal lesions, Mori T, Honda Y, Higaki T, Fujioka C, Nakamura Y, Terada H, Akagi M, Awai K, RSNA2019, 2019/12/01, Without Invitation, English
- Comparison of emphysema scores on low and ultra-low radiation dose CT images using different reconstruction methods, Fukumoto W, Schreuder A, Lafebre S J, Higaki T, Prokop M, Nakamura Y, Awai K, RSNA2019, 2019/12/01, Without Invitation, English
- CT image retrieval based on morphological similarities in diffuse lung diseases using a deep convolutional neural network, Terada H, Higaki T, Takebe H, Moriwaki Y, Baba T, Awai K, RSNA2019, 2019/12/01, Without Invitation, English
- Capability of a new model-based Iterative reconstruction for brain CT to diagnose acute ischemic stroke: multicenter study, Mitani H, Tatsugami F, Higaki T, Prokop M, Ono C, Ono K, Fukumoto W, Nakamura Y, Awai K, RSNA2019, 2019/12/01, Without Invitation, English
- Estimation of minimal liver fibrosis using gadoxetic acid-enhanced liver MRI and machine learning, Narita K, Nakamura Y, Akagi M, Higaki T, Iida M, Awai K, RSNA2019, 2019/12/01, Without Invitation, English
- Radiation dose reduction in chest CT at a Micro-Dose (mD) level by noise simulation and noise-specific anatomic Neural Network Convolution (NNC) Deep-Learning (DL) with k-means clustering, Zhao Y, Zarshenas A, Higaki T, Suzuki K, Awai K, RSNA2019, 2019/12/01, Without Invitation, English
- CT imaging of fetal skeletal anomalies at minimized radiation exposure: clinical significance, indications, and scan protocol, Matsubara Y, Tani C, Higaki T, Nakamura Y, Honda Y, Fukumoto W, Sakane H, Awai K, RSNA2019, 2019/12/01, Without Invitation, English
- A Projection Mapping System onto a Human Body for Medical Applications., Fukuhara R, Kaneda K, Tamaki T, Raytchev B, Higaki T, Nishimoto S, Sotsuka Y., Eurographics 2019, 2019/05/06, Without Invitation, English
- Image Noise Reduction with Deep Learning-Based CT Image Reconstruction., Higaki T, Nakamura Y, Tatsugami F, Akino N, Awai K., ECR2019, 2019/02/27, Without Invitation, English
- Feasibility of radiation dose reduction using a deep learning based reconstruction at coronary CT angiography., Tatsugami F, Higaki T, Yuko Nakamura, Fukumoto W, Yuya Ito, So Tsushima, Awai K., ECR2019, 2019/02/27, Without Invitation, English
- Radiation dose reduction in calcium volume measurement at cardiac CT using model-based iterative reconstruction: A phantom study., Tatsugami F, Higaki T, Nakamura Y, Iida M, Fujioka C, Awai K., ECR2019, 2019/02/27, Without Invitation, English
- Deep learning based reconstruction improves the image quality of abdominal ultra-high-resolution computed tomography scans., Utsunomiya K, Nakamura Y, Higaki T, Akagi M, Narita K, Zhou J, Yu Z, Akino N, Awai K., ECR2019, 2019/02/27, Without Invitation, English
- Measurement of coronary artery calcium score using ultra-high resolution CT: Cadaver study., Fukumoto W, Higaki T, Tatsugami F, Klein MM, Prokop MM, Awai K., ECR2019, 2019/02/27, Without Invitation, English
- 3 Tesla magnetic resonance imaging: Clinical capability of new applications for abdominal imaging., Nakamura Y, Higaki T, Nishihara T, Harada K, Takizawa M, Bito Y, Narita K, Akagi M, Awai K., ECR2019, 2019/02/27, Without Invitation, English
- Pseudo-random trajectory scan technique to suppress motion artifacts on gadoxetic acid-enhanced hepatobiliary-phase magnetic resonance images., Nakamura Y, Higaki T, Nishihara T, Harada K, Takizawa M, Bito Y, Narita K, Akagi M, Awai K., ECR2019, 2019/02/27, Without Invitation, English
- Dual-Energy Computed Tomography of Renal Lesions., Honda Y, Terada H, Higaki T, Fujioka C, Nakamura Y, Awai K., ECR2019, 2019/02/27, Without Invitation, English
- Similar CT image retrieval method based on lesion nature and their three-dimensional distribution., Yasutaka Moriwaki, Nobuhiro Miyazaki, Hiroaki Takebe, Takayuki Baba, Hiroaki Terada, Toru Higaki, Kazuo Awai, Machiko Nakagawa, Akio Ozawa, Kennji Kitayama, Yasuharu Ogino., SPIE Medical Imaging 2019, 2019/02/16, Without Invitation, English
- Improvement of diagnostic image quality of abdominal CT by using a deep-learning based reconstruction: Initial clinical trial targeting hypervascular hepatocellular carcinoma., Nakamura Y, Higaki T, Yu Z, Zhou J, Akino N, Awai K, et al., RSNA2018., 2018/11/25, Without Invitation, English
- Demonstration of the fetal bone cortex on MRI Scans: Preliminary clinical study on normal fetal specimens., Matsubara Y, Tani C, Higaki T, Kamioka S, Nakamura Y, Awai K., RSNA2018., 2018/11/25, Without Invitation, English
- CT findings on hepatocellular carcinoma in patients with hepatitis C showing a sustained virologic response after interferon-free therapy: Comparison with that in patients with interferon-based therapy., Akagi M, Nakamura Y, Narita K, Honda Y, Higaki T, Awai K, et al., RSNA2018., 2018/11/25, Without Invitation, English
- Effect of simulated micro-dose (mD) CT on the performance of neural network convolution (NNC) deep-learning (DL) in radiation dose reduction in chest CT., Zhao Y, Zarshenas A, Higaki T, Awai K, Suzuki K., RSNA2018., 2018/11/25, Without Invitation, English
- Development a software which assists radiologists to determine optimal contrast material administration protocol at CT: Validation study using a computer simulation., Higaki T, Matsumoto Y , Masuda T, Nakamura Y, Tatsugami F, Awai K., RSNA2018., 2018/11/25, Without Invitation, English
- Accuracy of volume measurements of coronary calcification at CT using model-based iterative reconstruction: a phantom study., Higaki T, Tatsugami T, Fujioka C, Yokomachi K, Nakamura Y, Awai K., RSNA2018., 2018/11/25, Without Invitation, English
- Imaging Physiology of Contrast Agent: Difference in Pharmacokinetic and Signal Characteristics Between Gadolinium and Iodine Contrast Agent., Higaki T, Nakamura Y, Tatsugami F, Honda Y, Usuki R, Awai K., RSNA2018., 2018/11/25, Without Invitation, English
- Easy Understanding of Theory and Image Characteristics of the Model-Based Iterative Reconstruction at CT for Radiologists: How Does It Work?, Higaki T, F Tatsugami, Nakamura Y, Maeda S, Tsushima S, Awai K., RSNA2018., 2018/11/25, Without Invitation, English
- "Virtual" High-Dose Technology: Radiation Dose Reduction in Thin-Slice Chest CT at a Micro-Dose (mD) Level by Means of 3D Deep Neural Network Convolution (NNC)., Zarshenas A, Zhao Y, Liu J, Higaki T, Awai K, Suzuki K., RSNA2018., 2018/11/25, Without Invitation, English
- Possibility of Deep Learning Technique in Medical Imaging: Can Deep Learning Improve Image Quality?, Nakamura Yuko, Higaki T, Yu Z, Zhou J, Akino N; Awai K., RSNA2018., 2018/11/25, Without Invitation, English
- Non-Invasive Evaluation of Liver Fibrosis Using Imaging Technique: Current Problems and Future Perspective., Narita K, Nakamura Y, Higaki T, Akagi M, Iida M, Awai K., RSNA2018., 2018/11/25, Without Invitation, English
- Update of CT Urography: Current Techniques, Clinical Utility, and New Applications., Honda Y, Nakamura Y, Terada H, Higaki T, Fujioka C, Awai K., RSNA2018., 2018/11/25, Without Invitation, English
- Deep 3D Anatomy-Specific Neural Network Convolution for Radiation Dose Reduction in Chest CT at a Micro-Dose Level., Amin Zarshenas, Yuji Zhao, Junchi Liu, Toru Higaki, Wataru Fukumoto, Kazuo Awai, Kenji Suzuki., EMBC2018: 40th Annual International Conference of the IEEE Engineering in Medicine and Biology Society., 2018/07/17, Without Invitation, English
- Improvement of diagnostic image quality of abdominal CT by using a deep learning based reconstruction: Initial clinical trial targeting hepatic metastases., Nakamura Y, Higaki T, Tatsugami F, Zhou J, Yu Z, Akino N, Ito Y, Iida M, Awai K., ECR2018, 2018/02/28, Without Invitation, English
- Improving image quality of low-dose abdominal CT by a deep learning reconstruction: Feasibility study using a liver phantom including simulated tumors., Nakamura Y, Higaki T, Tatsugami F, Zhou J, Yu Z, Akino N, Nemoto T, Iida M, Awai K., ECR2018, 2018/02/28, Without Invitation, English
- Possibility of deep learning technique in CT image reconstruction., Higaki T, Nakamura Y, Tatsugami F, Iida M, Yu Z, Zhou J, Akino N, Tsushima S, Awai K., ECR2018, 2018/02/28, Without Invitation, English
- Radiation dose reduction in CT using Deep Learning based Reconstruction (DLR): A phantom study., Higaki T, Nishimaru E, Nakamura Y, Tatsugami F, Yu Z, Zhou J, Verleker AP, Akino N, Awai K., ECR2018, 2018/02/28, Without Invitation, English
- Essential Knowledge About Gadolinium Contrast Agents on Magnetic Resonance Imaging to Plan Optimal Contrast Enhancement Protocols: Graphic Demonstration Using a Computer Simulation., Higaki T, Nakamura Y, Tatsugami F, Honda Y, Akiyama Y, Awai K., RSNA2017, 2017/11/26, Without Invitation, English
- A new quantitative index for the noise power spectrum at CT: Correlation with subjective nodule detectability on CT images., Higaki T, Tstsugami F, Nakamura Y, Fujioka C, Tsushima S, Awai K, et al., RSNA2017, 2017/11/26, Without Invitation, English
- Improvement of Spatial Resolution of CT Using Model-Based Iterative Reconstruction on CT: A Phantom Study., Higaki T, Tatsugami F, Nakamura Y, Yokomachi K, Tsushima S, Awai K, et al., 2017/11/26, Without Invitation, English
- Novel Technique to Generate Computed Diffusion Weighted Brain MRI with Ultra-High B-Values., Higaki T, Tatsugami F, Kaichi Y, Akiyama Y, Umeda M, Awai K., RSNA2017, 2017/11/26, Without Invitation, English
- The Detectability of Forward Projected Model-Based Iterative Reconstruction for Low Contrast Lesions: Acute Cerebral Infarction-Phantom Study., Higaki T, Kaichi Y, Tatsugami F, Taguchi H, Iida M, Awai K., RSNA2017, 2017/11/26, Without Invitation, English
- Easy understanding of the technical aspects of computed diffusion-weighted Image (cDWI) for radiologis, Higaki T, Nakamura Y, Sakane H, Fukumoto W, Kassai Y, Awai K, RSNA 2016, 2016/11/27, Without Invitation, English, RSNA, Chicago
- Contrast material injection protocols at coronary CT angiorapraphy with short injection duration can yield sufficient arterial enhancement in wide range of cardiac output value: computer simulation study., Higaki T, Nakaura T, Kidoh M, Yuki H, Yamashita Y, Awai K, RSNA 2016, 2016/11/27, Without Invitation, English, RSNA, Chicago
- Simulation technique for predicting organ enhancement, Toru Higaki, Kazuo Awai, User seminar by Nemoto Kyorindo, RSNA 2015: 100th Scientific assembly and annual meeting., 2015/11/30, With Invitation, English, Chicago, IL, USA
- Easy understanding of the technical aspects of abdominal perfusion CT for radiologists., Higaki T, Nakamura Y, Fukumoto W, Kiguchi M, Iida M, Awai K, Honda Y., RSNA 2015, 2015/11/29, Without Invitation, English
- Improved accuracy of the CT number of iodine-enhanced structures on virtual monochromatic dual-energy CT images., Higaki T, Kaichi Y, Kiguchi M, Tatsugami F, Tsushima S, Awai K, Iida M, Honda Y., RSNA 2015, 2015/11/29, Without Invitation, English
- Computer simulation of contrast enhancement in the whole body: a highly accurate simulation of the bolus transmission of contrast material in individual organs., Higaki T,Nakamura Y, Tatsugami F, Kiguchi M, Iida M, Awai K., RSNA 2015, 2015/11/29, Without Invitation, English
- Technique for the composition of virtual monochromatic images in the fourier domain: high contrast-to-noise on CT images of brain tumors., Higaki T, Kaichi Y, Fukumoto W, Honda Y, Iida M, Awai K., RSNA 2015, 2015/11/29, Without Invitation, English
- Techniques to genetate high-accuraey computed diffusion- weighted images(cDWI)of the liver., Higaki T, Nakamura Y, Akiyama Y, Ohkubo T, Kassai Y, Awai K., RSNA 2015, 2015/11/29, Without Invitation, English
- Registration Method for Gadoxetate Disodium-enhanced MR and Radiation Dose Distribution Maps using an Extracted Liver-region Mask, Toru Higaki, Kazuo Awai, et al., RSNA 2014: 100th Scientific assembly and annual meeting, 2014/11/30, Without Invitation, English
- Measurement of Electron Density Using Raw data-based Dual-energy Computed Tomography: Phantom Study, Toru Higaki, Kazuo Awai, et al., RSNA 2014: 100th Scientific assembly and annual meeting, 2014/11/30, Without Invitation, English
- Utility of radial scan for identification of arterial hypervascularity of hepatocellular carcinoma on gadoxetic acid-enhanced MR images, Nakamura Y, Higaki T, Narita K, Akagi M, Matsubara Y, Nishihara T, Harada K, Takizawa M, Shirase R, Bito Y, Iida M, Awai K, ECR2020, Without Invitation, English
Awards
- 2017/02/27, Certificate of Merit,, European Society of Radiology (ESR),, Radiation dose reduction in CT using Deep Learning based Reconstruction (DLR): A phantom study
- 2018/11/30, Certificate of Merit,, Radiological Society of North America,, Easy Understanding of Theory and Image Characteristics of the Model-Based Iterative Reconstruction at CT for Radiologists: How Does It Work?
External Funds
Acceptance Results of Competitive Funds
- Adaptable and Seamless Technology transfer Program through targetdriven R&D, 2012/11/01, 2013/10/31
- KAKENHI, 2013, 2015
- KAKENHI, 2016, 2018
- KAKENHI(Grant-in-Aid for Scientific Research (C)), 2020, 2022