A5013372039- Medical Imaging Techniques and Applications
- Dementia and Cognitive Impairment Research
- Radiomics and Machine Learning in Medical Imaging
- Alzheimer's disease research and treatments
- Advanced X-ray and CT Imaging
- Advanced MRI Techniques and Applications
- MRI in cancer diagnosis
- Functional Brain Connectivity Studies
- Radiation Dose and Imaging
- Viral Infections and Vectors
- Epilepsy research and treatment
- Lanthanide and Transition Metal Complexes
- Vector-Borne Animal Diseases
- Advanced Neuroimaging Techniques and Applications
- Mental Health Research Topics
- Bone and Joint Diseases
- Advanced Radiotherapy Techniques
- Parkinson's Disease Mechanisms and Treatments
- Brain Tumor Detection and Classification
- Health Systems, Economic Evaluations, Quality of Life
- Cerebrovascular and Carotid Artery Diseases
- EEG and Brain-Computer Interfaces
- Behavioral Health and Interventions
- Lung Cancer Diagnosis and Treatment
- Frailty in Older Adults
Fukushima Medical University
2020-2025
International University of Health and Welfare
2017-2022
Southern Tohoku General Hospital
2021-2022
National Center of Neurology and Psychiatry
2019-2021
Mahidol University
2008
Mahidol Oxford Tropical Medicine Research Unit
2008
The Bayesian penalized likelihood PET reconstruction (BPL) algorithm, Q.Clear (GE Healthcare), has recently been clinically applied to clinical image reconstruction. BPL includes a relative difference penalty (RDP) as function. β value that controls the behavior of RDP determines global strength noise suppression, whereas γ factor in degree edge preservation. present study aimed assess effects various factors on ability detect sub-centimeter lesions.All data were acquired for 10 min using...
Centiloid (CL) scaling has become a standard quantitative measure in amyloid PET because it allows the direct comparison of results across sites, even when different analytical methods or tracers are used.In present study, we developed new standalone software to easily handle pipeline for accurate calculation CL scale five currently available tracers-11 C-PiB, 18 F-florbetapir, F-flutemetamol, F-florbetaben, and F-NAV4694. This requires reorientation coregistration MRI, anatomic...
The Omni Legend 32 PET/CT system features silicon photomultiplier (SiPM)–based detectors with bismuth germanium oxide crystals and a 32-cm axial field of view (FOV). present study aimed to determine the performance characteristics according National Electrical Manufacturers Association (NEMA) NU 2-2018 standards. <b>Methods:</b> PET component this comprises 22 detector modules; each module contains 24 blocks 72 volume 4.1 × 30 mm coupled 18 SiPM devices 6 area, resulting in an FOV cm....
Objective Dopamine transporter single-photon emission computed tomography (DAT-SPECT) plays an important role in diagnosing parkinsonism. Recently, a reference-based quantitative analysis utilizing Japanese normal database for DAT-SPECT was developed. This study aimed to investigate the frequency and trends of cases wherein analysis- physician-based diagnoses diverged. Methods Two physicians performed interpretation task twice on 195 scans. After assessing intra- intertester agreements,...
Abstract Background The digital-BGO PET/CT system, Omni Legend 32, incorporates modified block sequential regularized expectation maximization (BSREM) image reconstruction and a deep learning-based time-of-flight (TOF)-like quality enhancement process called Precision DL (PDL). present study aimed to define the fundamental characteristics of PDL using phantom clinical images. Methods A NEMA IEC body was scanned 32 system. All images were acquired over 60 90 s per bed position, with 384 ×...
Background: In clinical practice, equivocal findings are inevitable in visual interpretation of whether amyloid positron emission tomography (PET) is positive or negative. It therefore necessary to establish a more objective quantitative evaluation method for determining the indication disease-modifying drugs currently under development. Aims: We aimed determine cutoffs positivity analysis 18 F-flutemetamol PET patients with cognitive impairment and suspected Alzheimer's disease (AD). also...
Background: Cortical neurodegenerative processes may precede the emergence of disease symptoms in patients with Alzheimer’s (AD) by many years. No study has evaluated free water AD using gray matter-based spatial statistics. Objective: The aim this was to explore cortical microstructural changes within matter imaging Methods: Seventy-one participants underwent multi-shell diffusion magnetic resonance imaging, 11C-Pittsburgh compound B positron emission tomography, and neuropsychological...
Abstract Purpose Bayesian penalised likelihood (BPL) reconstruction, which incorporates point-spread-function (PSF) correction, provides higher signal-to-noise ratios and more accurate quantitation than conventional ordered subset expectation maximization (OSEM) reconstruction. However, applying PSF correction to brain PET imaging is controversial due Gibbs artefacts that manifest as unpredicted cortical uptake enhancement. The present study aimed validate whether BPL without would be useful...
The Bayesian penalized likelihood (BPL) algorithm Q.Clear (GE Healthcare) allows fully convergent iterative reconstruction that results in better image quality and quantitative accuracy, while limiting noise. present study aimed to optimize BPL parameters for 18F-NaF PET/CT images determine the feasibility of acquisition over shorter durations clinical practice.A custom-designed thoracic spine phantom consisting several inserts, soft tissue, normal spine, metastatic bone tumor, was scanned...
The Bayesian penalized likelihood (BPL) reconstruction algorithm, Q.Clear, can achieve a higher signal-to-noise ratio on images and more accurate quantitation than ordered subset-expectation maximization (OSEM). parameter (β) in BPL requires optimization according to the radiopharmaceutical tracer. present study aimed define optimal β value required diagnose Alzheimer disease from brain positron emission tomography (PET) acquired using 18 F-fluoro-2-deoxy-D-glucose ([18 F]FDG) 11 C-labeled...
Recent developments in image analysis have enabled an individual's brain network to be evaluated and age predicted from gray matter images. Our study aimed investigate the effects of sex on single-subject networks using a large sample healthy participants. We recruited 812 individuals (59.3 ± 14.0 years, 407 females, 405 males) who underwent three-dimensional T1-weighted magnetic resonance imaging. Similarity-based were constructed, following properties calculated: normalized clustering,...
This study aimed to examine the alterations in gray matter networks related tau retention Alzheimer's disease (AD) patients and cognitively normal (CN) older individuals. Eighteen amyloid-positive AD 30 age- sex-matched amyloid-negative CN controls were enrolled. All underwent 3D T1-weighted MRI, amyloid positron-emission tomography imaging (PET) with 11C-Pittsburgh Compound B (PiB), PET 18F-THK5351. The structural extracted from MRI data based on cortical similarities within single subjects...
Alzheimer’s disease (AD) is diagnosed by the presence of both amyloid β and tau proteins. Recent advances in molecular PET imaging have made it possible to assess accumulation these proteins living brain. ligands been developed that bind 3R/4R AD, but not 3R or 4R alone. Of first-generation ligands, 18F-flortaucipir has recently approved Food Drug Administration. Several second-generation probes with less off-target binding are being applied clinically. Visual interpretation should be based...
Although scatter correction improves SPECT image contrast and thus quality, the effects of quantitation accuracy under various conditions remain unclear. The present study aimed to empirically define for optimal quantitative bone SPECT/CT images. Scatter was performed by applying dual triple energy windows (DEW TEW) with different sub-energy window widths, effective source estimation (ESSE) CT-based correction. Scattered radiation corrected on images acquired using a line (TLSP) phantom an...
Background: Standard methods for deriving Centiloid scales from amyloid PET images are time-consuming and require considerable expert knowledge. We aimed to develop a deep learning method of automating scale calculations with 11C-Pittsburgh Compound-B (PiB) tracer assess its applicability 18F-labeled tracers without retraining. Methods: trained models on 231 11C-PiB using 50-layer 3D ResNet architecture. The predicted the scale, accuracy was assessed mean absolute error (MAE), linear...