A5021726682- Medical Imaging Techniques and Applications
- Advanced MRI Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Advanced X-ray and CT Imaging
- Radiation Dose and Imaging
- Lung Cancer Diagnosis and Treatment
- Functional Brain Connectivity Studies
- Atomic and Subatomic Physics Research
- Radioactive Decay and Measurement Techniques
- Dementia and Cognitive Impairment Research
- Cardiac Arrest and Resuscitation
- Advanced Neuroimaging Techniques and Applications
- Neurological disorders and treatments
- Radiation Detection and Scintillator Technologies
- EEG and Brain-Computer Interfaces
- Radioactive contamination and transfer
- Ultrasound in Clinical Applications
- Cerebrovascular and Carotid Artery Diseases
- Machine Learning in Healthcare
- Medical Image Segmentation Techniques
- Medical Imaging and Analysis
Shimane University Hospital
2015-2025
Prefectural University of Hiroshima
2016-2017
Shimane University
2017
Although quantitative analysis using standardized uptake value (SUV) becomes realistic in clinical single-photon emission computed tomography/computed tomography (SPECT/CT) imaging, reconstruction parameter settings can deliver different results among SPECT/CT systems. This study aims to propose a use of the digital reference object (DRO), which is National Electrical Manufacturers Association (NEMA) phantom-like developed by Quantitative Imaging Biomarker Alliance (QIBA)...
We investigated image quality and standardized uptake values (SUVs) for different lesion sizes using clinical data generated by
Abstract Purpose Whole-body silicon photomultiplier positron emission tomography (WB SiPM PET) could be used to diagnose breast cancer spread before lumpectomy. We aimed investigate the method of measuring tumor size by WB PET as a basis for diagnosing in breast. Materials and methods retrospectively reviewed 35 lesions 32 patients who underwent PET/CT prone position preoperative examinations from September 2020 March 2022. In all cases, 20-mm spherical VOI was placed normal mammary gland...
In this study, we aimed to validate the accuracy of computed tomography-based attenuation correction (CTAC), using bilinear scaling method. The measured coefficient (μm) was compared theoretical (μt), four different CT scanners and an RMI 467 phantom. effective energy beam X-rays calculated, aluminum half-value layer method used in conjunction with map convert numbers μm values for photon 140 keV. We number phantom each μt energies X-rays, atomic numbers, physical densities. low decreased...
Resting-state functional connectivity is one promising biomarker for Alzheimer's disease (AD) and mild cognitive impairment (MCI). However, it still not known how accurately network analysis identifies AD MCI across multiple sites. In this study, we examined whether resting-state data from the Disease Neuroimaging Initiative (ADNI) could identify patients with at our site. We implemented an index based on frequency distribution compared performance identification multivoxel pattern analysis....
The aim of this study was to validate the reliability dose calibrators for measuring radioactivity several radioisotopes in multi-institution.We evaluated measurement accuracy using a commercially available source ((67) Ga, (99m) Tc, (123) I, (201) TL). Nine (five models) seven institutions were performed study. Each measured at least 3 times day over period 4 half-life. Linearity concentration (%error value) and percent difference values (%diff measurement) between estimated calculated...
In the dopamine transporter scintigraphy there are two quantitative analysis softwares, DaTView and DaTQUANT. The value of both software has to be treated independently because is a difference between them in point how set region interest on striatum background, calculation formula quantitation. And also DaTQUANT capability performing anatomical standardization which does not have. aim this study was evaluate accuracy registration using phantom, correlation values clinical data. As result,...
Purpose: This study aimed to verify the resolution recovery for each collimator in brain perfusion image. Method: To effect of collimator, we evaluated via three-dimensional phantom (phantom) and normal single photon emission computed tomography (SPECT) data. These data were reconstructed using ordered subset expectation maximization method (3D-OSEM) (Evolution boneTM) that was performed with scatter correction, attenuation (RR). The performance two systems (ELEGP MEGP) reconstruction...
Abstract The aim of this study was to estimate the administered dosage 81mKr noble gas as calculated by radioactivity 81Rb-rubidium hydroxide (81RbOH). regarded total amount gas. using 81RbOH at examination, beginning inhalation, inhalation duration and attenuation volume from generator patient for In addition, we created an Internet survey asked National University Hospital in Japan respond questions regarding parameters concern. Survey responses were provided 38 hospitals (response rate...
Discovery NM 530c (CZT SPECT) is a new single photon emission computed tomography (SPECT) scanner using cadmium-zinc-telluride (CZT) solid-state semiconductor detector technology. Due to multi-pinhole collimator design of this system, each CZT facing different direction and be able get incidence radioactivity from radioisotopes (RIs) existing outside effective field view (EFOV). The purpose study verify its impact compare it conventional Anger-type SPECT (Discovery NM/CT 670 pro). We used...
Abstract Purpose: Whole-body silicon photomultiplier positron emission tomography (WB SiPM PET) could be used to diagnose breast cancer spread before lumpectomy. We aimed investigate the method of measuring tumor size by WB PET as a basis for diagnosing in breast. Methods: retrospectively reviewed 24 lesions 21 patients who underwent PET/CT prone position preoperative examinations from September 2020 March 2022. In all cases, 20-mm spherical VOI was placed normal mammary gland measure mean...
Purpose: The aim of this study was to evaluate the classification accuracy specific blood flow reduction patterns in clinical images by deep learning using simulation data. Methods: We obtained Z-score maps for 100 cases each simulated Alzheimerʼs disease (AD), dementia with Lewy bodies (DLB), and normal cognition (NC) performing statistical analysis data that provided defects healthy patient were determined reference radiological reports, AD (n=33), DLB (n=20), NC (n=28) used. A network...