Diagnosis and management of hand arthritis using a mobile medical application

Fartash Vasefi; Nicholas MacKinnon; Timothy Horita; Randy Hsu; Daniel Herdman; Kouhyar Tavakolian; Reza Fazel-Rezai

doi:10.1117/12.2222417

3 August 2016 Diagnosis and management of hand arthritis using a mobile medical application

Fartash Vasefi, Nicholas MacKinnon, Timothy Horita, Randy Hsu, Daniel Herdman, Kouhyar Tavakolian, Reza Fazel-Rezai

Proceedings Volume 9711, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX; 97110U (2016) https://doi.org/10.1117/12.2222417
Event: SPIE BiOS, 2016, San Francisco, California, United States

Abstract

A deployable mobile medical application is presented that employs a smartphone camera, patient input, internet connectivity, and cloud-based image processing techniques to document and analyze physiological characteristics of hands in osteoarthritis (OA) patients. The application performs digital image processing that spatially calibrates the image, locates hand fiduciary features, and quantifies hand features to identify abnormal distal and proximal interphalangeal joints. The algorithm determines the finger centerlines and joint coordinates. From these anatomical fiduciary points, it measures the width of fingers, location and size of joints, and finger joint angulation. The diagnostically relevant features measured by the mobile application can be applied to current diagnostic protocols such as the American College of Rheumatology (ACR) criteria for OA. Based on the results from a pilot study, the mobile application was modified to include interactive user guidance built into the smartphone. This app makes improvements on the algorithm that validate the image quality and makes the algorithm less dependent on precise capture conditions. Based on clinical feedback, a web-based portal and dashboard for advanced analysis was developed and presented. Clinicians, researchers, and patients can use this to explore relationships between pain, treatment, environmental parameters, and lifestyle factors.

Citation Download Citation

Fartash Vasefi, Nicholas MacKinnon, Timothy Horita, Randy Hsu, Daniel Herdman, Kouhyar Tavakolian, and Reza Fazel-Rezai "Diagnosis and management of hand arthritis using a mobile medical application", Proc. SPIE 9711, Imaging, Manipulation, and Analysis of Biomolecules, Cells, and Tissues IX, 97110U (3 August 2016); https://doi.org/10.1117/12.2222417

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available