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Design of a Two-dimensional Ultrashort Echo Time Simultaneous Multi-slice Pulse Sequence

Application of 3D MR MENSA in preoperative evaluation of lumbar disc herniation: a prospective study

Author:Xuelin Pan  Yuting Wen  Zhenlin Li  Xin Rong  Miaoqi Zhang  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Acquisition & Analysis Techniques II  

Program Number:2230  

Room Session:Exhibition Halls D/E  

Institution :GE Healthcare  West China Hospital of Sichuan University  

R2* Estimation by Multispectral Fat-Water Models for GRE and UTE Acquisitions Using Virtual Liver Iron Overload Model and Monte Carlo Simulations

Model-Based Dynamic B0 Compensation of a 0.35T MRI-Linac using Inclinometer Data

Effectiveness of T2-mapping imaging in assessing disease severity in Spinal muscular atrophy: preliminary study

Imaging findings and differential diagnosis of hyperintense hepatocellular carcinoma on hepatobiliary phase of Gd-EOB-DTPA-enhanced MRI

A clinically applicable deep-learning model for automatic detection of focal liver lesions on Gd-DTPA-enhanced MRI

Preoperative prognostic Stratification for Patients with HCC Using Gadoxetic acid-enhanced MR Imaging

Magnetic Resonance Diffusion Imaging for Colorectal Liver Metastases: A Prospective Study for Model Comparison and Early Response Biomarker

Preoperative evaluation of liver regeneration following hepatectomy in hepatocellular carcinoma using magnetic resonance elastography

Multiparametric MRI manifestations of spontaneous intratumoral coagulative necrosis in hepatocellular carcinoma

Author:Dexin Yu  Liping Zuo  Mingyuan Hou  Jinlei Fan  Yueming An  Bowen Wang  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Updates in Oncologic Liver Imaging I  

Program Number:2240  

Room Session:Exhibition Halls D/E  

Institution :Qilu Hospital of Shandong University  

Pre-Operative In Silico Risk Assessment for Hepatectomy Patients, Using MRI and Pharmacokinetic Modeling

A Radiomics Nomogram for the Prediction of Microvascular Invasion of HCC and Patients Benefit from Postoperative Adjuvant TACE

Comparison of the diagnostic performance in the HCC with cirrhosis between the 2017 and 2018 versions of LI-RADS based on Gd-EOB-DTPA enhanced MRI

Value of texture analysis based on R2* map for predicting early recurrence of HCC after hepatectomy

The value of IVIM for preoperative evaluation of liver regeneration after hepatectomy in hepatocellular carcinoma

Hepatocellular carcinoma with central scar: imaging findings of gadoxetic acid-enhanced MRI and pathological features

Predicion of Microvascular Invasion in Hepatocellular Carcinoma using Diffusion Kurtosis Imaging

Gd-EOB-DTPA Enhanced 3D T1WI: Utility of Compressed Sensing with Deep Learning Reconstruction for Liver Tumor Detection Improvement

Development of Hepatocellular Carcinoma phantom and its use for assessing R2* mapping sequences for detecting iron sparing

Deep learning reconstruction for liver T2-weighted and diffusion-weighted imaging:Improvement of image quality and lesion delineation

Tumor burden assessment in a SB CCA.Mdr2-/- cholangiocarcinoma mouse model with gadoxetate disodium-enhanced MRI at 9.4 T

Differentiation between HCC and ICC using 3D amide proton transfer weighted imaging and diffusion kurtosis imaging

Attention-based Two Stage Deep Learning Model for the Segmentation and Classification of Pelvic and Sacral Tumors on Routine MRI

Author:Ping Yin  Nan Hong  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Perfusion, Inflammation & Malignancy  

Program Number:2254  

Room Session:Exhibition Halls D/E  

Institution :Department of Radiology, Peking University People's Hospital  

Simplified, single-step segmentation and quantification of bone marrow oedema using deep learning

Whole-tumor histogram analysis of DWI and DCE-MRI for soft tissue sarcoma: Correlation with HIF-1alpha expression

Sex differences in subcutaneous fat thickness and bone marrow fat area and their relationship to BMI and age

Author:Talon Johnson  Jimin Ren  Anke Henning  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Perfusion, Inflammation & Malignancy  

Program Number:2258  

Room Session:Exhibition Halls D/E  

Institution :University of Texas Southwestern Medical Center  

Intravoxel incoherent motion and dynamic contrast-enhanced magnetic resonance imaging for neoadjuvant chemotherapy response evaluation in patients with osteosarcoma

Author:Ping Yin  Nan Hong  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Perfusion, Inflammation & Malignancy  

Program Number:2259  

Room Session:Exhibition Halls D/E  

Institution :Department of Radiology, Peking University People's Hospital  

Evaluating blood supply changes in the osteonecrosis of the femoral head using gadobutrol-based steady-state MRA

Author:Zhenhong Liao  Xiaoyong Zhang  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Perfusion, Inflammation & Malignancy  

Program Number:2260  

Room Session:Exhibition Halls D/E  

Institution :Philips Healthcare  Deyang People's Hospital  

Imaging perfusion in the vertebral bone marrow and subchondral bone using FAIR ASL

Author:L. Tugan Muftuler  Matthew Budde  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Perfusion, Inflammation & Malignancy  

Program Number:2261  

Room Session:Exhibition Halls D/E  

Institution :Medical College of Wisconsin  

Exercise-stimulated muscle hyperemia: a preliminary investigation with diffusion tensor imaging on calf muscles

Comparison of Penalty-based IVIM analysis Methods for Predicting Response to Neoadjuvant Chemotherapy in Osteosarcoma

Radiomics based on conventional MRI sequences to differentiate inert fibrogenic tumors and invasive fibrogenic tumors of trunk and limbs

Author:Peng Gao  Weisheng Zhang  Hexin Feng  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Perfusion, Inflammation & Malignancy  

Program Number:2264  

Room Session:Exhibition Halls D/E  

Institution :China Medical University  Dalian Medical University  

Compressed SENSE AI enhanced mDixon-Quant MR Imaging in the Lumber Spine Study

Evaluating age-related changes of vascular function and oxidative energy metabolism in the lower leg during a plantar flexion exercise

Bone marrow fat composition assessed by fast and simple 1D MRS combined with intermolecular double-quantum coherence on 3.0 T

DCE-MR Lymphangiography Demonstrates Significantly Different Lymphatic Drainage in Patients with a FOXC2 Gene Mutation Compared to Controls

Deep Learning Based on Knee MRI for Fully Automated Segmentation and Precision Diagnosis of Rheumatoid Arthritis, Gout and PVNS

Accurate and quantitative assessment of rheumatoid joint synovitis based on DCE-MRI pixel-level analysis

The value of zero echo time MR imaging for demonstrating bony change of sacroiliac joint in ankylosing spondylitis: a comparative study with CT

Prediction of Histopathological Subtypes of Dermatofibrosarcoma protuberans Based on MRI Radiomics Machine Learning Model

Author:Siyu Liu  Yishi Wang  Songtao Ai  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Perfusion, Inflammation & Malignancy  

Program Number:2273  

Room Session:Exhibition Halls D/E  

Institution :Philips Healthcare, Beijing, China  Shanghai Ninth People's Hospital  

Cerebral perfusion in Parkinson's disease with depression: an arterial spin-labeling magnetic resonance imaging study

Investigating early-stage parkinsonism using a dedicated MRI protocol and decision tree

Author:Samy Abo Seada  Anke van der Eerden  Agnita Boon  Juan Hernandez-Tamames  

Session Type:Digital Poster  

Session Date:Monday, 05 June 2023  

Session Name:Advanced Imaging in Parkinson's Disease  

Program Number:2275  

Room Session:Exhibition Halls D/E  

Institution :Erasmus MC  TU Delft  

Resting state functional connectivity alterations in motor networks of Parkinsons disease in different frequency bands

Construction of disease progression prediction model for PD patients based on DTI data