Forskning ved Københavns Universitet - Københavns Universitet


Automatic detection and localization of bone erosion in hand HR-pQCT

Publikation: Bidrag til bog/antologi/rapportKonferencebidrag i proceedingsForskningfagfællebedømt

Rheumatoid arthritis (RA) is an inflammatory disease which afflicts the joints with arthritis and periarticular bone destruction as a result. One of its central features is bone erosion, a consequence of excessive bone resorption and insufficient bone formation. High-resolution peripheral quantitative computed tomography (HR-pQCT) is a promising tool for monitoring RA. Quantification of bone erosions and detection of possible progression is essential in the management of treatment. Detection is performed manually and is a very demanding task as rheumatologists must annotate hundreds of 2D images and inspect any region of the bone structure that is suspected to be a sign of RA. We propose a 2D based method which combines an accurate segmentation of bone surface boundary and classification of patches along the surface as healthy or eroded. We use a series of classical image processing methods to segment CT volumes semi-automatically. They are used as training data for a U-Net. We train a Siamese net to learn the difference between healthy and eroded patches. The Siamese net alleviates the problem of highly imbalanced class labels by providing a base for one-shot learning of differences between patches. We trained and tested the method using 3 full HR-pQCT scans with bone erosion of various size. The proposed pipeline succeeded in classifying healthy and eroded patches with high precision and recall. The proposed algorithm is a preliminary work to demonstrate the potential of our pipeline in automating the process of detecting and locating the eroded regions of bone surfaces affected by RA.

TitelMedical Imaging 2019 : Computer-Aided Diagnosis
RedaktørerKensaku Mori, Horst K. Hahn
Antal sider9
ForlagSPIE - International Society for Optical Engineering
ISBN (Elektronisk)9781510625471
StatusUdgivet - 2019
BegivenhedMedical Imaging 2019: Computer-Aided Diagnosis - San Diego, USA
Varighed: 17 feb. 201920 feb. 2019


KonferenceMedical Imaging 2019: Computer-Aided Diagnosis
BySan Diego
SponsorThe Society of Photo-Optical Instrumentation Engineers (SPIE)
NavnProgress in Biomedical Optics and Imaging - Proceedings of SPIE

ID: 227331677