Search Results - "Rubin, Elka B."

Advanced MRI Approaches for Evaluating Common Lower Extremity Injuries in Basketball Players: Current and Emerging Techniques by Rubin, Elka B., Schmidt, Andrew M., Koff, Matthew F., Kogan, Feliks, Gao, Kenneth, Majumdar, Sharmila, Potter, Hollis, Gold, Garry E.

“…Magnetic resonance imaging (MRI) can provide accurate and non‐invasive diagnoses of lower extremity injuries in athletes. Sport‐related injuries commonly occur…”
Get full text

Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and MRI Relaxometry by Schmidt, Andrew M., Desai, Arjun D., Watkins, Lauren E., Crowder, Hollis A., Black, Marianne S., Mazzoli, Valentina, Rubin, Elka B., Lu, Quin, MacKay, James W., Boutin, Robert D., Kogan, Feliks, Gold, Garry E., Hargreaves, Brian A., Chaudhari, Akshay S.

“…Background Deep learning (DL)‐based automatic segmentation models can expedite manual segmentation yet require resource‐intensive fine‐tuning before deployment…”
Get full text

Does Injection of Hyaluronic Acid Protect Against Early Cartilage Injury Seen After Marathon Running? A Randomized Controlled Trial Utilizing High-Field Magnetic Resonance Imaging by Nathani, Amit, Gold, Garry E., Monu, Uchechukwuka, Hargreaves, Brian, Finlay, Andrea K., Rubin, Elka B., Safran, Marc R.

“…Background: Previous studies have shown that runners demonstrate elevated T2 and T1ρ values on magnetic resonance imaging (MRI) after running a marathon, with…”
Get full text

Effects of the Competitive Season and Off‐Season on Knee Articular Cartilage in Collegiate Basketball Players Using Quantitative MRI: A Multicenter Study by Rubin, Elka B., Mazzoli, Valentina, Black, Marianne S., Young, Katherine, Desai, Arjun D., Koff, Matthew F., Sreedhar, Ashwin, Kogan, Feliks, Safran, Marc R., Vincentini, Dominic J., Knox, Katelin A., Yamada, Tomoo, McCabe, Andrew, Majumdar, Sharmila, Potter, Hollis G., Gold, Garry E.

“…Background Injuries to the articular cartilage in the knee are common in jumping athletes, particularly high‐level basketball players. Unfortunately, these are…”
Get full text

Rapid volumetric gagCEST imaging of knee articular cartilage at 3 T: evaluation of improved dynamic range and an osteoarthritic population by Watkins, Lauren E., Rubin, Elka B., Mazzoli, Valentina, Uhlrich, Scott D., Desai, Arjun D., Black, Marianne, Ho, Gabe K., Delp, Scott L., Levenston, Marc E., Beaupré, Gary S., Gold, Garry E., Kogan, Feliks

“…Chemical exchange saturation transfer of glycosaminoglycans, gagCEST, is a quantitative MR technique that has potential for assessing cartilage proteoglycan…”
Get full text

Open Source Software for Automatic Subregional Assessment of Knee Cartilage Degradation Using Quantitative T2 Relaxometry and Deep Learning by Thomas, Kevin A., Krzemiński, Dominik, Kidziński, Łukasz, Paul, Rohan, Rubin, Elka B., Halilaj, Eni, Black, Marianne S., Chaudhari, Akshay, Gold, Garry E., Delp, Scott L.

“…Objective We evaluated a fully automated femoral cartilage segmentation model for measuring T2 relaxation values and longitudinal changes using multi-echo…”
Get full text

Rapid Volumetric gagCEST Imaging of Knee Articular Cartilage at 3T: Evaluation of Improved Dynamic Range and an Osteoarthritic Population by Watkins, Lauren E, Rubin, Elka B, Mazzoli, Valentina, Uhlrich, Scott D, Desai, Arjun D, Black, Marianne, Ho, Gabe K, Delp, Scott L, Levenston, Marc E, Beaupré, Gary S, Gold, Garry E, Kogan, Feliks

“…Chemical exchange saturation transfer of glycosaminoglycans (GAG), gagCEST, is a quantitative MR technique that has potential for assessing cartilage…”
Get full text

SKM-TEA: A Dataset for Accelerated MRI Reconstruction with Dense Image Labels for Quantitative Clinical Evaluation by Desai, Arjun D, Schmidt, Andrew M, Rubin, Elka B, Sandino, Christopher M, Black, Marianne S, Mazzoli, Valentina, Stevens, Kathryn J, Boutin, Robert, Ré, Christopher, Gold, Garry E, Hargreaves, Brian A, Chaudhari, Akshay S

“…Magnetic resonance imaging (MRI) is a cornerstone of modern medical imaging. However, long image acquisition times, the need for qualitative expert analysis,…”
Get full text

Open source software for automatic subregional assessment of knee cartilage degradation using quantitative T2 relaxometry and deep learning by Thomas, Kevin A, Krzemiński, Dominik, Kidziński, Łukasz, Paul, Rohan, Rubin, Elka B, Halilaj, Eni, Black, Marianne S, Chaudhari, Akshay, Gold, Garry E, Delp, Scott L

“…Objective: We evaluate a fully-automated femoral cartilage segmentation model for measuring T2 relaxation values and longitudinal changes using multi-echo spin…”
Get full text