3T MRI Distribution of Textural Features in Bone Marrow for Osteoporosis.

Author:Anmol Monga  Dimitri Martel  Stephen Honig  Gregory Chang  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Artificial Intelligence Applied to MSK MRI  

Session Name:Bone Tendon Inflammation  

Program Number:4068  

Room Session:Concurrent 4  

Institution:NYU Langone Health  

Acceleration of high-resolution proximal femur MRI using compressive sensing and sparsity in a retrospective study

Assessment of the potential of a Deep Learning Knee Segmentation and Anomaly Detection Tool in the clinical routine

Associations between Bone Turnover Biomarkersand MR-based Knee composition and WORMS scores:cross-sectional

Automation of Quantifying Axonal Loss in Patients with Peripheral Neuropathies through Deep Learning Derived Muscle Fat Fraction

Characterizing Knee Osteoarthritis Progression with Structural Phenotypes using MRI and Deep Learning

Clinical value of MAVRIC-SL MRI for the assessment of periprosthetic joint infection

Combined IVIM and DTI fitting of muscle DWI data using a self learning physics informed neural network

Author:Martijn Froeling  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Artificial Intelligence Applied to MSK MRI  

Session Name:Artificial Intelligence Applied to MSK MRI  

Program Number:0808  

Room Session:Concurrent 4  

Institution:University Medical Center Utrecht  

A comparative study on MRI-based radiomics model selection for ahigh-risk cytogenetics predictioninmultiple myeloma

Author:jianfang liu  Huishu Yuan  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Artificial Intelligence Applied to MSK MRI  

Session Name:Bone Tendon Inflammation  

Program Number:4070  

Room Session:Concurrent 4  

Institution:Peking University Third Hospital  

A Comparison of Synovitis Severity in the Knee Assessed Using Contrast-Enhanced MRI and FDG-PET

Data augmentation using features from activation maps improved performance for deep learning based automated knee prescription

Deep CNNs with Physical Constraints for simultaneous Multi-tissue Segmentation and Quantification (MSQ-Net) of Knee from UTE MRIs

Deep Learning Improves Detection of Anterior Cruciate Ligament- and Meniscus Tear Detection in Knee MRI

Deep Learning Reconstruction of 3D Zero Echo Time Magnetic Resonance Images for the Creation of 3D Printed Anatomic Models

Deep Learning-based Semi-supervised Meniscus Segmentation with Uncertainty Estimation

Deep-Learning Based Image Reconstruction for Lumbar Spine MRI at 3T: Clinical Feasibility

DeepPain: Uncovering Associations Between Data-Driven Learned qMRI Biomarkers and Chronic Pain

DEMO: Deep MR Parametric Mapping using Unsupervised Multi-tasking Framework

DetectionofSacroiliac Joint Lesions in Axial Spondyloarthritis:Utility of Synthetic MRI

Author:Ke Zhang  Guobin Hong  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Artificial Intelligence Applied to MSK MRI  

Session Name:Bone Tendon Inflammation  

Program Number:4075  

Room Session:Concurrent 4  

Institution:the Fifth Affiliated Hospital, Sun Yat-sen University  

Development of Deep Learning based Cartilage Segmentation at 3D knee MRI for the use of Biomarker of Osteoarthritis

Diagnostic performance of zero echo time imaging and T1-weighted fast spin echo on sacroiliac joint bone erosions using CT as the gold standard

Diagnostic value of intro-voxel incoherent movement (IVIM) for infrapatellar fat pad high signal intensity in patient with osteoarthritis

Differentiation of Benign and Malignant Vertebral Fractures on Spine MRI Using ResNet Deep Learning Compared to Radiologists' Reading

Diffusion MRI of THAs for the Classification of Synovial Reactions

Discussion theValue of ADC in Bone Contusions and Bone Marrow Lesions inOsteoarthritisof Knee Joint

The Effect of Activation Functions and Loss Functions on Deep Learning Based Fully Automated Knee Joint Segmentation

Author:Sibaji Gaj  Dennis Chan  Xiaojuan Li  

Session Type:Oral  

Session Date:Thursday, 20 May 2021  

Topic:Artificial Intelligence Applied to MSK MRI  

Session Name:Artificial Intelligence Applied to MSK MRI  

Program Number:0807  

Room Session:Concurrent 4  

Institution:Cleveland Clinic  

Evaluation of Deep-Learning Reconstructed High-Resolution 3D Lumbar Spine MRI to Improve Image Quality

Evaluation of Synovitis of Hand in Patients with Rheumatoid Arthritis Using Diffusion Kurtosis Imaging: Initial Findings

Evaluation of the risk of osteoporosis in diabetic patients by IDEAL-IQ

Feasibility of deep learning–based automated rotator cuff tear measurements on shoulder MRI

Feasibility of Femoral Cartilage Lesion Classification on Clinical MRIs using Deep Learning

Author:Mingrui Yang  Ceylan Colak  Mercan Aslan  Sibaji Gaj  Morgan Jones  Carl Winalski  Naveen Subhas  Xiaojuan Li  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Artificial Intelligence Applied to MSK MRI  

Session Name:Artificial Intelligence  

Program Number:4064  

Room Session:Concurrent 4  

Institution:Cleveland Clinic  

Fully automatic detection and voxel-wise mapping of vertebral body Modic changes using deep convolutional neural networks

Generalizability of Deep-Learning Segmentation Algorithms for Measuring Cartilage and Meniscus Morphology and T2 Relaxation Times

Generative Adversarial Network for T2-Weighted Fat Saturation MR Image Synthesis Using Bloch Equation-based Autoencoder Regularization

Identification of Bone Marrow Lesions on Magnetic Resonance Imaging with Weakly Supervised Deep Learning

Less is more: zero-shot detection and transfer learning for facet arthropathy localization and classification on lumbar spine MRIs

MRI image synthesis with a conditional generative adversarial network using patch pooling

MRI-based radiomic features and machine learning for differentiating myelodysplastic syndrome and aplastic anemia

Pilot contrast-free MRI reveals significantly impaired calf skeletal muscle perfusion in diabetes with incompressible peripheral arteries

A pipeline combining deep learning and radiomics to automatically identify chronic lateral ankle instability from FS-PD MRI

A preliminary study on the effect of compressed SENSE with multiple acceleration factors on knee examination

Retrospective Contrast Tuning from a Single T1-weighted Image Using Deep Learning

Author:Yan Wu  Yajun Ma  Jiang Du  Lei Xing  

Session Type:Digital Poster  

Session Date:Thursday, 20 May 2021  

Topic:Artificial Intelligence Applied to MSK MRI  

Session Name:Artificial Intelligence  

Program Number:4063  

Room Session:Concurrent 4  

Institution:Stanford University  University of California San Diego  

Self-Supervised Deep Learning for Knee MRI Segmentation using Limited Labeled Training Datasets

Significantly reduced collagen and increased water in tibia of patients with osteopenia and osteoporosis detected with ultrashort echo time MRI

Synovial Fluid Suppressed 3D T1? Mapping of Knee Cartilage using Deep Learning

Towards Clinical Translation of Fully Automatic Segmentation and 3D Biomarker Extraction of Lumbar Spine MRI

Ultrafast motion-minimized shoulder MRI with a deep learning constrained Compressed SENSE reconstruction