Deep venous thrombosis screening system using numerical measures

TitleDeep venous thrombosis screening system using numerical measures
Publication TypeConference Paper
Year of Publication2003
AuthorsGuerrero, J., S. E. Salcudean, J. A. McEwen, B. A. Masri, and S. Nicolaou
Conference NameEngineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE
Pagination894 - 897 Vol.1
Date Publishedsep.
Keywordsbiomedical ultrasonics, blood, blood vessels, compression ultrasound examination, deep venous thrombosis, diseases, feature extraction, image segmentation, medical image processing, phantoms, Star-Kalman algorithm, tissue phantom, ultrasound image segmentation, ultrasound probe, vessel segment

An experimental system and interface that indicate the likelihood of deep venous thrombosis using objective numerical measures was developed, based on the conventional compression ultrasound examination. A sensorized ultrasound probe is used to acquire force, location and image data to assess a vessel segment for compression. Ultrasound image data is segmented using a modified Star-Kalman algorithm. A user interface displays the results using a 3-D representation. A tissue phantom was developed for testing and validation. Initial results with this phantom and healthy volunteers are presented.


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