Kinya Ishizaka

Dr. Yoshiharu Watanabe

Kinya Ishizaka

jp (code pays fourni par la source)

Effects of partial splenic embolization and portosystemic shunt occlusion on portal venous hemodynamics using 4D flow MRI

Daisuke KATO, Naoya Kinota, Daisuke Abo, Satonori Tsuneta et autres

jp (code pays fourni par la source)

Improved visualization of perivascular spaces on T2-weighted imaging with deep learning-based denoising and super-resolution reconstruction

Yuya Hirano, Noriyuki Fujima, Hiroyuki Kameda, Hiroyuki Hamaguchi et autres

This prospective study evaluated the ability of a deep learning-based denoising followed by super-resolution function (SR-DL) to improve the visualization of perivascular spaces (PVSs) on T2-weighted imaging (T2WI). Ten healthy volunteers underwent brain MRI using T2WI with three acquisition voxel sizes (1.0 …

jp (code pays fourni par la source)

Quality of Head and Neck Diffusion-weighted MR Imaging Using a Combination of the Periodically Rotated Overlapping Parallel Lines with Enhanced Reconstruction (PROPELLER) Sequence and Deep Learning Reconstruction

Taro Fujiwara, Noriyuki Fujima, Hiroyuki Hamaguchi, Kinya Ishizaka et autres

PURPOSE: To evaluate whether periodically rotated overlapping parallel lines with enhanced reconstruction-diffusion-weighted imaging (PROPELLER-DWI) combined with deep learning-based reconstruction (DLR) improves head and neck DWI, we conducted a primary comparison of PROPELLER-DWI with DLR at varying strengths and without DLR, and a …

jp (code pays fourni par la source)

Noninvasive Evaluation of Cerebrospinal Fluid Protein Concentration Using Amide Proton Transfer-weighted Imaging

Tomohiro Kawasaki, Khin Khin Tha, Masami Yoneyama, Kinya Ishizaka et autres

Motivation: Protein concentration in cerebrospinal fluid (CSF) is traditionally measured through lumbar puncture, an invasive procedure. Currently, no noninvasive imaging methods exist to evaluate protein levels in CSF. Goal(s): To explore the feasibility of using Amide Proton Transfer (APTw) imaging to assess …

Formulation and Simulation of Low b-value DTI of Pseudorandom Flow in CSF

Yoshitaka Bito, Hiroyuki Kameda, Noriyuki Fujima, Naoyuki Kinota et autres

Motivation: While low b-value (low-b) DTI is used to measure pseudorandom flow in CSF, spatial relationship of DT among multiple voxels has not been clearly shown. Goal(s): To reveal spatial features of pseudorandom flow with low-b DTI. Approach: A formula expressing the …

The Impact of Model-based Deep-learning Reconstruction Compared with that of Compressed Sensing–Sensitivity Encoding on the Image Quality and Precision of Cine Cardiac MR in Evaluating Left-ventricular Volume and Strain: A Study on Healthy Volunteers

Satonori Tsuneta, Satoru Aono, Rina Kimura, Jihun Kwon et autres

PURPOSE: To evaluate the effect of model-based deep-learning reconstruction (DLR) compared with that of compressed sensing-sensitivity encoding (CS) on cine cardiac magnetic resonance (CMR). METHODS: Cine CMR images of 10 healthy volunteers were obtained with reduction factors of 2, 4, 6, and …

jp (code pays fourni par la source)

Assessment of accuracy and repeatability of quantitative parameter mapping in MRI

Yuya Hirano, Kinya Ishizaka, Hiroyuki Sugimori, Yo Taniguchi et autres

We aimed to evaluate the accuracy and repeatability of the T1, T2*, and proton density (PD) values obtained by quantitative parameter mapping (QPM) using the ISMRM/NIST MRI system phantom and compared them with computer simulations. We compared the relaxation times and PD …

jp (code pays fourni par la source)

Fast MRI of the cervical spinal cord by combining the deep learning-based denoising and Super-Resolution technique

Takuya Aoike, Noriyuki Fujima, Jihun Kwon, Masami Yoneyama et autres

SmartSpeed Precise Image (SSPI) is one of novel image reconstruction technique which combined the physics driven type deep learning-based denoising process and Super-Resolution techniques. We investigated the utility of SSPI-based single-shot turbo spin-echo sequence of the cervical spinal cord T2-weighted image with …

Utility of Noncontrast-enhanced Turbo-field Echo-planar Imaging-based 4D Flow MRI for Portal Venous System

Naoya Kinota, Daisuke Abo, Daisuke Kato, Satonori Tsuneta et autres

Echo-planer imaging-based three-dimensional cine phase contrast (4D flow) MRI has been reported to achieve good image quality with a short acquisition time in cardiovascular imaging, but its application to the portal venous (PV) system has not been reported. In this study, the …

High Resolution TOF-MRA Using SmartSpeed-AI for the Visualization of Lenticulostriate Arteries at 3.0 T: a Preliminary Study

Yuya Hirano, Noriyuki Fujima, Kinya Ishizaka, Takuya Aoike et autres

SmartSpeed-AI is recently introduced as a physics driven type deep learning-based novel image reconstruction technique. We investigated the utility of SmartSpeed-AI for the better visibility of lenticulostriate artery (LSA) in high spatial resolution TOF-MRA by comparing the compressed-sensing sensitivity-encoding (compressed SENSE) algorithm. …

Deep-learning-based super-resolution technique for cine cardiac magnetic resonance

Satonori Tsuneta, Satoru Aono, Rina Kimura, Jihun Kwon et autres

Cine cardiac magnetic resonance (CMR) imaging is an optimal cardiac volumetric analysis method because of its high contrast resolution. However, its spatial resolution is limited owing to prolonged scanning and breath-holding. Although compressed sensing–sensitivity encoding (Compressed SENSE; CS) and its deep-learning-based advancement …