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Related papers: Osteoporosis Prediction from Hand and Wrist X-rays…

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Currently, a large number of stored tissue samples are unavailable for spectroscopic study without the time consuming and destructive process of paraffin removal. Instead, a structurally sensitive technique, sum frequency generation, and a…

Medical Physics · Physics 2023-10-03 Bryan Semon , Michael Jaffe , Haifeng Wang , Lauren Priddy , Gombojav Ariunbold

Knee Osteoarthritis (OA) is a destructive joint disease identified by joint stiffness, pain, and functional disability concerning millions of lives across the globe. It is generally assessed by evaluating physical symptoms, medical history,…

Image and Video Processing · Electrical Eng. & Systems 2024-10-28 Rohit Kumar Jain , Prasen Kumar Sharma , Sibaji Gaj , Arijit Sur , Palash Ghosh

Ultrasound imaging has recently been introduced as a sensing interface for joint motion estimation. The use of ultrasound images as an estimation method is expected to improve the control performance of assistive devices and human--machine…

Human-Computer Interaction · Computer Science 2024-01-05 Yo Kobayashi , Yoshihiro Katagi

Osteosarcoma is the most common primary bone cancer, mainly affecting the youngest and oldest populations. Its detection at early stages is crucial to reduce the probability of developing bone metastasis. In this context, accurate and fast…

Osteoporosis is a common bone disease that increases the risk of bone fracture. Hip-fracture risk screening methods based on finite element analysis depend on segmented computed tomography (CT) images; however, current femur segmentation…

Recent advancements in computer vision promise to automate medical image analysis. Rheumatoid arthritis is an autoimmune disease that would profit from computer-based diagnosis, as there are no direct markers known, and doctors have to rely…

Computer Vision and Pattern Recognition · Computer Science 2022-11-07 Krzysztof Maziarz , Anna Krason , Zbigniew Wojna

Bone age assessment is a task performed daily in hospitals worldwide. This involves a clinician estimating the age of a patient from a radiograph of the non-dominant hand. Our approach to automated bone age assessment is to modularise the…

Machine Learning · Computer Science 2014-06-19 Anthony Bagnall , Luke Davis

Bone age assessment is challenging in clinical practice due to the complicated bone age assessment process. Current automatic bone age assessment methods were designed with rare consideration of the diagnostic logistics and thus may yield…

Computer Vision and Pattern Recognition · Computer Science 2023-04-25 Jintai Chen , Bohan Yu , Biwen Lei , Ruiwei Feng , Danny Z. Chen , Jian Wu

The anatomical axis of long bones is an important reference line for guiding fracture reduction and assisting in the correct placement of guide pins, screws, and implants in orthopedics and trauma surgery. This study investigates an…

Image and Video Processing · Electrical Eng. & Systems 2020-07-07 Florian Kordon , Andreas Maier , Benedict Swartman , Maxim Privalov , Jan Siad El Barbari , Holger Kunze

Parkinson's disease (PD) is a progressive neurodegenerative condition characterized by the death of dopaminergic neurons, leading to various movement disorder symptoms. Early diagnosis of PD is crucial to prevent adverse effects, yet…

Computer Vision and Pattern Recognition · Computer Science 2025-10-07 Nabil Daiyan , Md Rakibul Haque

Joint damage in Rheumatoid Arthritis (RA) is assessed by manually inspecting and grading radiographs of hands and feet. This is a tedious task which requires trained experts whose subjective assessment leads to low inter-rater agreement. An…

Computer Vision and Pattern Recognition · Computer Science 2022-05-31 Neelambuj Chaturvedi

In this paper a new technique is presented that extracts the geometry of lumbar vertebral bodies from spiral CT scans. Our new multi-step segmentation approach yields highly accurate and precise measurement of the bone mineral density (BMD)…

Computer Vision and Pattern Recognition · Computer Science 2017-05-23 Andre Mastmeyer , Klaus Engelke , Willi Kalender

Objective: To test automated in vivo estimation of active and passive skeletal muscle states using ultrasonic imaging. Background: Current technology (electromyography, dynamometry, shear wave imaging) provides no general, non-invasive…

Image and Video Processing · Electrical Eng. & Systems 2019-07-04 Ryan J. Cunningham , Ian D. Loram

Knee Osteoarthritis (KOA) is a common musculoskeletal disorder that significantly affects the mobility of older adults. In the medical domain, images containing temporal data are frequently utilized to study temporal dynamics and…

Image and Video Processing · Electrical Eng. & Systems 2024-08-05 Zhe Wang , Aladine Chetouani , Rachid Jennane , Yuhua Ru , Wasim Issa , Mohamed Jarraya

Spinal metastasis is the most common disease in bone metastasis and may cause pain, instability and neurological injuries. Early detection of spinal metastasis is critical for accurate staging and optimal treatment. The diagnosis is usually…

Computer Vision and Pattern Recognition · Computer Science 2024-02-15 Shiqi Peng , Bolin Lai , Guangyu Yao , Xiaoyun Zhang , Ya Zhang , Yan-Feng Wang , Hui Zhao

In this paper, we present a deep-learning based method for estimating the 3D structure of a bone from a pair of 2D X-ray images. Our triplet loss-trained neural network selects the most closely matching 3D bone shape from a predefined set…

Computer Vision and Pattern Recognition · Computer Science 2020-10-12 Jana Čavojská , Julian Petrasch , Nicolas J. Lehmann , Agnès Voisard , Peter Böttcher

This paper concerns the fully automatic direct in vivo measurement of active and passive dynamic skeletal muscle states using ultrasound imaging. Despite the long standing medical need (myopathies, neuropathies, pain, injury, ageing),…

Computer Vision and Pattern Recognition · Computer Science 2017-06-30 Ryan J. Cunningham , Peter J. Harding , Ian D. Loram

Osteosarcoma is the most common primary bone cancer whose standard treatment includes pre-operative chemotherapy followed by resection. Chemotherapy response is used for predicting prognosis and further management of patients. Necrosis is…

Accurate prediction of knee osteoarthritis (KOA) progression from structural MRI has a potential to enhance disease understanding and support clinical trials. Prior art focused on manually designed imaging biomarkers, which may not fully…

Image and Video Processing · Electrical Eng. & Systems 2024-08-07 Egor Panfilov , Simo Saarakkala , Miika T. Nieminen , Aleksei Tiulpin

Tissue stiffness is related to soft tissue pathologies and can be assessed through palpation or via clinical imaging systems, e.g., ultrasound or magnetic resonance imaging. Typically, the image based approaches are not suitable during…

Signal Processing · Electrical Eng. & Systems 2025-09-04 Maximilian Neidhardt , Sarah Latus , Tim Eixmann , Gereon Hüttmann , Alexander Schlaefer