The current study is focused on an image segmentation algorithm for Uniformity Quality assessment in Diagnostic Ultrasounds.In particular a mathematical definition of the uniformity in ultrasound images is introducedand a split and merge algorithm performed on sparse matricesto measure uniformity is described. The algorithm is based on the Gray-Level Co-occurrence Matrices and the relativedescriptors,i.e. the Haralick features Entropy, Energy, Maximal CorrelationCoefficientand InformationMeasures of Correlation.Results on2 differentdatasetsof test images with different non-uniformities have been carried on. Several outcomesshow a goodsensitivity and agreement with the mean judgment by 7 human observers, i.e. differences are below 40% in most of the cases.On the basis of previousstudies, the latest developments and results are proposed and commented.
Schinaia, L., Scorza, A., Orsini, F., & Sciuto, S.A. (2017). Ultrasound image uniformity assessment by means of sparse matrices: Algorithm implementation and first results. In 22nd IMEKO TC4 International Symposium and 20th International Workshop on ADC Modelling and Testing 2017: Supporting World Development Through Electrical and Electronic Measurements (pp.164-169). IMEKO-International Measurement Federation Secretariat.
Titolo: | Ultrasound image uniformity assessment by means of sparse matrices: Algorithm implementation and first results |
Autori: | SCIUTO, SALVATORE ANDREA [Supervision] |
Data di pubblicazione: | 2017 |
Citazione: | Schinaia, L., Scorza, A., Orsini, F., & Sciuto, S.A. (2017). Ultrasound image uniformity assessment by means of sparse matrices: Algorithm implementation and first results. In 22nd IMEKO TC4 International Symposium and 20th International Workshop on ADC Modelling and Testing 2017: Supporting World Development Through Electrical and Electronic Measurements (pp.164-169). IMEKO-International Measurement Federation Secretariat. |
Handle: | http://hdl.handle.net/11590/337522 |
ISBN: | 9781510849761 |
Appare nelle tipologie: | 4.1 Contributo in Atti di convegno |