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ISMRM2025 Presentation list for Canon MR


# 1st Author Presentation Title Program # Session Type
1 Chen X., .. A Closer Look into the Partial Body SAR definition in IEC 60601-2-33. 1321 Power Pitch
2 Do H., .. Accelerated 1.2-minute 4-echo UTE-based CT-like Imaging using CG-SENSE and Deep Learning-based Denoising Reconstruction (DLR). 156 Oral
3 Do H., .. Improved Resolution and Precision of whole-brain multi-parametric qMRI using Deep Learning Denoising and Super-Resolution Reconstruction. 1704 Digital Poster
4 Kutsuna H., .. High-Resolution Deep Learning Reconstruction (HR-DLR) with Compressed Sensing for a Highly Accelerated Acquisition. 2787 Digital Poster
5 Ryu J-K., .. Improving FLAIR MRI Quality with Super-Resolution Deep Learning Reconstruction. 1833 Digital Poster
6 Jung H. N., .. Neurofluid dynamics along the optic nerve: Application of 3D interleaved stack-of-stars (iSoS) with Time-SLIP Spin Labeling. 454 Power Pitch
7 Jung H. N., .. Investigation of multiparametric exchange protons using CEST and Z-spectrum analysis proton (ZAP) in human brain. 3772 Digital Poster
8 Kuwatsuru Y., .. CEST and Z-spectrum analysis proton (ZAP) in the liver. 4763 Traditional Poster
9 Kuwatsuru Y., .. Hepatic artery and portal vein selective non-contrast MR perfusion in the liver. 419 Oral
10 Malis V., .. Multiparametric exchange protons using Z-Spectrum Analysis Proton (ZAP) and CEST on phantoms and human abdomen. 1 Oral Young Investigator Award
11 Malis V., .. CEST and ZAP MRI Reveal Age-Related Biochemical Changes in Knee Joint Tissues. 2946 Digital Poster
12 Malis V., .. Extending the General Kinetic Model for Perfusion to Time-Spatial Labeling Inversion Pulse (Time-SLIP) Applications. 3689 Digital Poster
13 Malis V., .. Non-contrast Time-SLIP Renal Perfusion Imaging using Stack-of-Stars with ASL. 2431 Digital Poster
14 Malis V., .. Ultrashort TE Imaging with Tight Intervals (δTE) for T2* Mapping in COPD: Toward a Biomarker for Lung Structural Changes. 306 Oral
15 Malis V., .. Modeling CSF Outflow: A Bi-Component Approach with Time-SLIP MRI. 4556 Digital Poster
16 Miyazaki M., .. Motion-Robust MR Coronary Angiography and Interleaved Stack-of-Stars (iSoS) with ASL Myocardium Perfusion. 371 Power Pitch
17 Munsch F., .. Enhanced Spinal Cord Lesion Detection in Multiple Sclerosis Using White-Matter-Nulled 3D MPRAGE with Deep Learning Reconstruction. 5028 Traditional Poster
18 Noda C., .. Deep learning reconstruction improved precision of myocardial T1 and T2 mapping: initial phantom and in-vivo evaluation. 5392 ISMRT Poster Session
19 Sajib S. Z. K., .. K-space Replacement Layer for Improving Image Sharpness in Machine Learning Reconstruction. 2774 Digital Poster
20 Wheaton, A. Method for Center Frequency Calibration using STIR On/Off Spectra. 3806 Digital Poster
21 Wheaton, A. Open Data Access, Sequence Development, Reconstruction, And Physics Simulation on The Canon MR Platform. NA Member-Initiated Session
22 Bae W., .. Deep Learning Processing for Non-Contrast Non-Subtraction MR Angiography of Arteries of the Lower Extremities. 4139 Digital Poster
23 Yu, H., .. MRI Evaluation of Cerebral Microbleeds, Silent Infarct, Iron Deposit with QSM in Sickle Cell Disease and Thalassemia Compared to Healthy Controls. 5063 Traditional Poster
24 Zucchelli M., .. Fourier Informed Native Deblurring (FIND): A Robust Solution for Blurring in pseudo-Continuous Arterial Spin Labeling (pCASL) MRI. 4779 Traditional Poster
25 Wang C., .. An MR breast auto prescription on-site learning system to adapt different scan plan preferences: a proof-of-concept study. 1546 Digital Poster
26 Ohno Y., .. Comparison of Capabilities for Regional Perfusion and Pulmonary Functional Changes among ECG- and PPG-Gated Perfusion-Weighted PREFUL MRIs and Dynamic CE-Perfusion MRI. 909 Oral
27 Ueda T., .. Comparison of Capability for Distinguishing Malignant from Benign Prostatic Areas among 3D CEST Imaging and DWI Combined with and without CEST Imaging. 2687 Digital Poster
28 Ozawa Y., .. Comparison of Postoperative Recurrence Prediction Capability among CEST Imaging, DWI, FDG-PET/CT and Combined Predictors in Stage I Non-Small Cell Lung Cancer. 1065 Power Pitch
29 Endo M., .. Conjugate Gradient and Deep Learning Reconstructions for UTE-MRI: Capability of Reducing Scan Time without Image Quality and Nodule Detection Capability Degradations. 2273 Digital Poster
30 Yoshikawa T., .. HR-DWI with Super-Resolution DLR vs. Conventional DWI: Scan Time, Image Quality and Diagnostic Performance in Hepato-Pancreato-Biliary Tumors. 2674 Digital Poster
31 Ohno Y., .. Reverse Encoding Distortion Correction (RDC) on DWI: Capability for Improving Image Quality and Diagnosis of Lymph Node Metastasis in Non-Small Lung Cancer. 311 Oral
32 Takenaka D., .. Super-Resolution DLR and Expanded SPEEDER on Breast MRI: Capability for Image Quality Improvement without Any Influence on Contrast and ADC Evaluation. 1997 Digital Poster
33 Taoka T., .. Neurofluid and Microstructural Evaluation by Time-Dependent Diffusion Analysis and WhiteMatter Parameters in Obstructive Sleep Apnea. 5073 Traditional Poster
34 Zhang L. MRI partial Fourier deep learning reconstruction with implicit phase constraint. 2769 Digital Poster
35 Yamaguchi M., .. Diffusion Tensor Imaging Visualizes the Orientations of Muscle Bundles in Isolated Smooth Muscle Layers of the Colon. 4955 Traditional Poster
36 Fujimoto K., .. Optimization of Flip Angle in Arterial Spin Labeling-based Ultra-Short TE MRI for Brain MR Angiography. 1630 Digital Poster
37 Nakamoto A., .. Biparametric prostate MRI with super-resolution deep learning reconstruction: image quality assessment using PI-QUAL version 2. 805 Oral

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Deep Learning technology helps deliver clear, sharp and distinct images. Acquiring high-resolution images traditionally required long scan time. However, with PIQE, high-resolution images are obtained with the same scan time as conventional scans.

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Advanced Intelligence, supreme productivity

Scientific publication highlights and references

This edition of our magazine is focused on highlighting the key value of Vantage Galan 3T / Supreme Edition, including technical articles from our engineering specialists and initial experiences from our customers. I hope you will be able to feel our engineers’ passion in developing this system and our ongoing spirit of innovation.

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