A 3D Convolutional Deep Neural Network for lumbar plexus segmentation

A 64-channel receive coil for accelerated diffusion imaging of the upper legs

Accelerated high-resolution (0.5mm2) T1? mapping of the knee joint using interleaved spin-lock-prepared 3D gradient echo with Compressed SENSE

Author:Keita Nagawa  Suzuki Masashi  Masami Yoneyama  Kaiji Inoue  Eito Kozawa  Mamoru Niitsu  

Institution:Philips Japan  Saitama Medical University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Machine Learning and Emerging Methods in MSK  

Session Name:Musculoskeletal Emerging Methods  

Program Number:2690  

Room Live Q&A Session:

Are Two MR Images Enough to Generate the Third One Accurately? - Clinically Feasible Fat Suppression of Lumbar Spine MRI from T1w and T2w Images Only

Assessment of infection after joint replacement by MAVRIC-SL MR imaging

Automated Cartilage Segmentation for Clinical Knee MR Images using Transfer Learning

Author:Mingrui Yang  Ceylan Colak  Andreas Nanavati  Sibaji Gaj  Carl Winalski  Naveen Subhas  Xiaojuan Li  

Institution:Cleveland Clinic  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Machine Learning and Emerging Methods in MSK  

Session Name:Machine Learning in Musculoskeletal 1  

Program Number:2661  

Room Live Q&A Session:

Automated Segmentation of Knee Articular Cartilage on MRI Data: Increasing Network Capacity with Transfer Learning

Automated Synovitis Segmentation in Patients with Rheumatoid Arthritis

Author:Sibaji Gaj  Ceylan Colak  Mingrui Yang  Kunio Nakamura  Xiaojuan Li  

Institution:Cleveland Clinic  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Machine Learning and Emerging Methods in MSK  

Session Name:Musculoskeletal Emerging Methods/Machine Learning 2  

Program Number:2666  

Room Live Q&A Session:

Characterization of the Microenvironment of the Intervertebral Disc in Patients with Chronic Low Back Pain by Z-spectral imaging

A Comparison study between IVIM-DWI and DCE-MRI derived parameters in rabbit VX2 bone tumor model

Compartment-specific Knee Cartilage Segmentation using Deep Learning

Convolutional neural network automatic global segmentation of thigh muscle water-fat images in neuromuscular diseases

Deep learning based fully automated screening pipeline for abnormal bone density using a short lumbar Dixon sequence

Deep-learning Methods for Meniscus Segmentation in Knee MRI

Diagnostic value of radiomics model based on non-enhanced MR imaging for differentiation of chondrosarcoma from enchondroma

Differentiating ALTs/DDLs from benign lipomas using high-resolution 1H MR Spectroscopy

Discovering MRI Imaging Biomarkers Associated with Progression of Knee Pain Using Deep Learning for Survival Analysis

Discrimination of subjects with and without knee osteoarthritis using a radiomics approach on tibial bone

Author:Jukka Hirvasniemi  Stefan Klein  Dieuwke Schiphof  Edwin Oei  

Institution:Erasmus MC  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Machine Learning and Emerging Methods in MSK  

Session Name:Machine Learning in Musculoskeletal 1  

Program Number:2651  

Room Live Q&A Session:

Dynamic Contrast Enhanced MR Imaging of Synovitis: Repeatability, Discriminative Validity and Responsiveness in Knee Osteoarthritis

Evaluation of Kinematics and Image Quality of Thoracic Outlet during Humeral Elevation in Normal Volunteers Using 3D-MRI with Compressed Sensing

Evaluation of Three Different Paradigms for Provoking Blood Oxygenation Level-Dependent MRI Signal Changes in Skeletal Muscles

Author:Shiteng Suo  Hui Tang  Qing Lu  Jianrong Xu  

Institution:Renji Hospital, School of Medicine, Shanghai Jiao Tong University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Machine Learning and Emerging Methods in MSK  

Session Name:Musculoskeletal Emerging Methods  

Program Number:2683  

Room Live Q&A Session:

External validation of a machine learning algorithm for differentiating between myelodysplastic syndromes and aplastic anemia

Generalizability of Deep-Learning Segmentation Algorithms on Independent Datasets for Measuring T2 Relaxation Times

Ideal Weighting Parameter for Non-Contrast Detection of Synovitis Using Diffusion-Weighted DESS

Interaction between Modic changes and intervertebral discs revealed using deep learning and attention maps.

Knee MR Image Translation from Multi Contrast Images for Fat Suppression via Deep Learning with Perceptual Loss

Mapping of exercise-stimulated muscle perfusion using DCE-MRI and an artificial neural network approach

Myoelectric Triggered Diffusion-Weighted Imaging for Muscle Contraction Analysis

Noise Reduction of 3D Fast Spin Echo Knee Imaging Using Fusion of Convolutional Neural Networks

Optimizing Metal Related Artifact Reduction MRI at 3T: Circular versus Elliptical Radiofrequency Pulse Polarization

Preoperative Pathological Differentiation of Grade 1 and Grade 2/3 Soft Tissue Sarcomas based on Radiomics of ADC maps

PSEUDO-CT IMAGE GENERATION FROM MULTIPLE ECHO TIME 7 TESLA MR DATA VIA GAUSSIAN MIXTURE MODELLING

Author:Shaeez Abdulla  David Reutens  Viktor Vegh  

Institution:University of Queensland  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Machine Learning and Emerging Methods in MSK  

Session Name:Musculoskeletal Emerging Methods  

Program Number:2693  

Room Live Q&A Session:

Short T2* Components Separation Based on Hyperbolic Tangent R2* Model Using Dual-Echo UTE Imaging

Short T2* quantification of knee structures based on accelerated UTE Spiral VIBE MRI with SPIRiT reconstruction

Short-term repeatability of magnetic resonance fingerprinting for T1 and T2 measurements of metastatic bone lesions in prostate cancer patients

Survival prediction in patients with osteosarcoma based on MRI Radiomics Features

Author:lu zhang  

Institution:Henan provincial people's Hospital  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Machine Learning and Emerging Methods in MSK  

Session Name:Musculoskeletal Emerging Methods/Machine Learning 2  

Program Number:2676  

Room Live Q&A Session:

T2 Analysis of the Entire Osteoarthritis Initiative Dataset (N=25,729)

Texture Analysis of T2-weighted Lumbar Spine MRI Predicts Presence of Low Back Pain

Ultra-Fast Simultaneous T1rho and T2 Mapping Using Deep Learning

Validation of a novel 64-channel coil for clinical high-resolution T2-weighted imaging of the upper leg

The value of MAVRIC-SL technique in evaluation of unicompartment knee arthroplasty (UKA) at 3.0TMR

Author:Qiang Zhao  Lizhi Xie  

Institution:GE healthcare, China  Peking University Third Hospital  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Machine Learning and Emerging Methods in MSK  

Session Name:Musculoskeletal Emerging Methods/Machine Learning 2  

Program Number:2672  

Room Live Q&A Session:

Value of texture analysis on the Ktrans map of dynamic contrast enhancement MRI for assessment of critical limb ischemia in diabetic rabbits

Author:Liu Yang  Yunfei Zha  Weiyin Vivian Liu  

Institution:GE Healthcare  Renmin Hospital of Wuhan University  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Machine Learning and Emerging Methods in MSK  

Session Name:Musculoskeletal Emerging Methods/Machine Learning 2  

Program Number:2670  

Room Live Q&A Session:

Whole Body Composition in Patients Living with HIV

Author:Ravi Chachad  Gabby Joseph  Jiamin Zhou  Phyllis Tien  Thomas Link  Galateia Kazakia  Roland Krug  

Institution:University of California San Francisco  

Session Type:Digital Poster  

Session Live Q&A Date:Digital Poster (All Week)  

Topic:Machine Learning and Emerging Methods in MSK  

Session Name:Musculoskeletal Emerging Methods  

Program Number:2689  

Room Live Q&A Session: