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