Ultrasound image uniformity is an important parameter for quality assurance in diagnostic ultrasounds, but it is usually assessed by a qualitative judgement of technicians so its estimation is rough and subjective. In this work a novel method is developed to give an objective measurement of the Bmode image uniformity over the whole field of view or some of its part: the Texture Distribution Analysis Method (TDAM) is based on a segmentation of the Region of Interest, depending on some texture features calculated from co-occurrence matrices. Results on a set of 10 test images with different non-uniformities (Uniformity Image Test Set or UITS) show a good sensitivity and agreement of TDAM with the mean judgment by 5 human observers (TUV): TDAM and TUV uniformity values are coherent for the whole UITS, nevertheless a high uncertainty in uniformity values has been observed (up to 28 percent). Preliminary results look encouraging and more efforts are worth to refine the method.
|Titolo:||A texture analysis approach for objective uniformity evaluation in diagnostic ultrasound imaging: A preliminary study|
|Data di pubblicazione:||2015|
|Citazione:||Scorza, A., Conforto, S., Lupi, G., & Sciuto, S.A. (2015). A texture analysis approach for objective uniformity evaluation in diagnostic ultrasound imaging: A preliminary study. In Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society, EMBS (pp.6317-6320). Institute of Electrical and Electronics Engineers Inc..|
|Appare nelle tipologie:||4.1 Contributo in Atti di convegno|