AIMC Topic: Cartilage
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Quantitative ultrasound classification of healthy and chemically degraded ex-vivo cartilage.
Scientific reports
Jul 1, 2025
In this study, we explore the potential of ten quantitative (radiofrequency-based) ultrasound parameters to assess the progressive loss of collagen and proteoglycans, mimicking an osteoarthritis condition in ex-vivo bovine cartilage samples. Most ana...
Ultrasound-activated piezoelectric biomaterials for cartilage regeneration.
Ultrasonics sonochemistry
Apr 14, 2025
Due to the low density of chondrocytes and limited ability to repair damaged extracellular matrix (ECM) in cartilage, many patients with congenital or acquired craniofacial trauma require filler graft materials to support facial structure, restore fu...
Embryonic cranial cartilage defects in the Fgfr3 mouse model of achondroplasia.
Anatomical record (Hoboken, N.J. : 2007)
Sep 25, 2023
Achondroplasia, the most common chondrodysplasia in humans, is caused by one of two gain of function mutations localized in the transmembrane domain of fibroblast growth factor receptor 3 (FGFR3) leading to constitutive activation of FGFR3 and subseq...
Auto-segmentation of the tibia and femur from knee MR images via deep learning and its application to cartilage strain and recovery.
Journal of biomechanics
Jan 26, 2023
The ability to efficiently and reproducibly generate subject-specific 3D models of bone and soft tissue is important to many areas of musculoskeletal research. However, methodologies requiring such models have largely been limited by lengthy manual s...
A More Posterior Tibial Tubercle (Decreased Sagittal Tibial Tubercle-Trochlear Groove Distance) Is Significantly Associated With Patellofemoral Joint Degenerative Cartilage Change: A Deep Learning Analysis.
Arthroscopy : the journal of arthroscopic & related surgery : official publication of the Arthroscopy Association of North America and the International Arthroscopy Association
Dec 26, 2022
PURPOSE: To perform patellofemoral joint (PFJ) geometric measurements on knee magnetic resonance imaging scans and determine their relations with chondral lesions in a multicenter cohort using deep learning.
Editorial for "Generalizability of Deep Learning Segmentation Algorithms for Automated Assessment of Cartilage Morphology and Relaxometry".
Journal of magnetic resonance imaging : JMRI
Aug 12, 2022
Automatic Grading Assessments for Knee MRI Cartilage Defects via Self-ensembling Semi-supervised Learning with Dual-Consistency.
Medical image analysis
Jun 18, 2022
Knee cartilage defects caused by osteoarthritis are major musculoskeletal disorders, leading to joint necrosis or even disability if not intervened at early stage. Deep learning has demonstrated its effectiveness in computer-aided diagnosis, but it i...
Resolving complex cartilage structures in developmental biology via deep learning-based automatic segmentation of X-ray computed microtomography images.
Scientific reports
May 24, 2022
The complex shape of embryonic cartilage represents a true challenge for phenotyping and basic understanding of skeletal development. X-ray computed microtomography (μCT) enables inspecting relevant tissues in all three dimensions; however, most 3D m...
A deep-learning framework for metacarpal-head cartilage-thickness estimation in ultrasound rheumatological images.
Computers in biology and medicine
Dec 23, 2021
OBJECTIVE: Rheumatoid arthritis (RA) is a chronic disease characterized by erosive symmetrical polyarthritis. Bone and cartilage are the main joint targets of this disease. Cartilage damage is one of the most relevant determinants of physical disabil...
Cartilage structure increases swimming efficiency of underwater robots.
Scientific reports
May 28, 2021
Underwater robots are useful for exploring valuable resources and marine life. Traditional underwater robots use screw propellers, which may be harmful to marine life. In contrast, robots that incorporate the swimming principles, morphologies, and so...
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