Building a reduced dictionary of relevant perfusion patterns from CEUS data for the classification of testis lesions
Conference paper
Favaron, T., Huang, D.Y., Christensen-Jeffries, K., Eckersley, R., Sidhu, P.S. and Grisan, E. (2019). Building a reduced dictionary of relevant perfusion patterns from CEUS data for the classification of testis lesions. 2019 IEEE 16th International Symposium on Biomedical Imaging. Venice, Italy 08 - 11 Apr 2019 Institute of Electrical and Electronics Engineers (IEEE). https://doi.org/10.1109/ISBI.2019.8759528
Authors | Favaron, T., Huang, D.Y., Christensen-Jeffries, K., Eckersley, R., Sidhu, P.S. and Grisan, E. |
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Type | Conference paper |
Abstract | Radical orchifunicolectomy has traditionally been the main clinical treatment for small testicular masses (STMs); however STMs represent a constantly increasing and often incidental finding. Since many of them result benign, a more conservative testis-sparing surgery was proposed, but it requires a preliminary differentiation between benign and malignant masses: this however remains challenging. Although common understanding in radiology and oncology is that perfusion patterns might provide a useful information about the type of masses, no guidelines or consensus is available for the differentiation of STMs. We propose to build a dictionary of relevant perfusion patterns, extracted using non-negative matrix factorization on pixel-wise time-intensity curves from contrast-enhanced ultrasound data. When data from a lesion are reconstructed using this dictionary, a vector containing the frequency of utilization of each pattern can be used as a tissue signature. Using this signature, a support vector machine classifier has been trained, and the cross validated accuracy reached 100% in our pilot cohort. |
Year | 2019 |
Publisher | Institute of Electrical and Electronics Engineers (IEEE) |
Journal citation | pp. 850-854 |
ISSN | 1945-8452 |
Digital Object Identifier (DOI) | https://doi.org/10.1109/ISBI.2019.8759528 |
Web address (URL) | https://ieeexplore.ieee.org/document/8759528 |
Accepted author manuscript | License File Access Level Open |
Publication dates | |
11 Jul 2019 | |
Publication process dates | |
Accepted | 18 Dec 2019 |
Deposited | 27 Nov 2019 |
https://openresearch.lsbu.ac.uk/item/8895z
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