@inproceedings{c455a35107b84537b19bdbcaa45e4dbc,
title = "Automatic detection and localization of bone erosion in hand HR-pQCT",
abstract = "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.",
keywords = "Active Contours, Bone Erosion, HR-pQCT, Rheumatoid Arthritis, Siamese Nets, U-Nets",
author = "Jintao Ren and {Arash Moaddel}, H. and Hauge, {Ellen M.} and Keller, {Kresten K.} and Jensen, {Rasmus K.} and Fran{\c c}ois Lauze",
note = "Publisher Copyright: {\textcopyright} 2019 SPIE.; Medical Imaging 2019: Computer-Aided Diagnosis ; Conference date: 17-02-2019 Through 20-02-2019",
year = "2019",
doi = "10.1117/12.2512876",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE - International Society for Optical Engineering",
editor = "Kensaku Mori and Hahn, {Horst K.}",
booktitle = "Medical Imaging 2019",
address = "United States",
}