@inproceedings{51298e0742ec44e09019e6865e160f41,
title = "Enhancement and automated segmentation of ultrasound knee cartilage for early diagnosis of knee osteoarthritis",
abstract = "Ultrasound(US) has emerged as a valid imaging modality for quantitative assessment of femoral cartilage thickness for early diagnosis of knee osteoarthritis (OA). In this work, we are presenting a framework for automated segmentation of knee cartilage from enhanced US images. The proposed framework involves enhancement of US bone surfaces by calculating local phase image features, dynamic programming for bone segmentation and the use of segmented bone surfaces as initial seeds to random walker (RW) algorithm. Qualitative and quantitative validation was performed on 100 scans obtained from eight healthy volunteers. Validation against expert manual segmentation achieved a mean dice similarity coefficient (DSC) of 0.8758.",
keywords = "Local phase, Osteoarthritis, Random walker, Segmentation, Ultrasound",
author = "Desai, {Prajna Ramesh} and Ilker Hacihaliloglu",
year = "2018",
month = may,
day = "23",
doi = "https://doi.org/10.1109/ISBI.2018.8363850",
language = "American English",
series = "Proceedings - International Symposium on Biomedical Imaging",
publisher = "IEEE Computer Society",
pages = "1471--1474",
booktitle = "2018 IEEE 15th International Symposium on Biomedical Imaging, ISBI 2018",
address = "United States",
note = "15th IEEE International Symposium on Biomedical Imaging, ISBI 2018 ; Conference date: 04-04-2018 Through 07-04-2018",
}