Literature DB >> 8879091

Improvement of lesion detectability by speckle reduction filtering: a quantitative study.

J T Verhoeven1, J M Thijssen.   

Abstract

An objective measure (Lesion Signal-to-Noise Ratio) quantifying the detectability of lesions in echographic images was employed. This measure was used to determine the performance of digital speckle reduction filters, which were applied to computer simulated ultrasound B-mode images. One linear (mean filter) and two nonlinear filters (median and L2-mean filters) have been investigated. A comparison was made between fixed and adaptive versions of these filters. The influence of the size of the filter window on the Lesion Signal-to-Noise Ratio was systematically investigated. Also, the effect of the shape of the filter window is illustrated. The difference in performance of the linear and nonlinear filters was found to be small. Adaptive filters did not perform significantly better than fixed filters. The maximum improvement of lesion detectability was in the order of 40 percent. The choice of a correct window size was critical. For all types of filters, an optimum window size appeared to be present in the curves relating the Lesion Signal-to-Noise Ratio to this size.

Mesh:

Year:  1993        PMID: 8879091     DOI: 10.1177/016173469301500301

Source DB:  PubMed          Journal:  Ultrason Imaging        ISSN: 0161-7346            Impact factor:   1.578


  2 in total

1.  Quality evaluation of ultrasound imaging in the carotid artery based on normalization and speckle reduction filtering.

Authors:  C P Loizou; C S Pattichis; M Pantziaris; T Tyllis; A Nicolaides
Journal:  Med Biol Eng Comput       Date:  2006-04-11       Impact factor: 2.602

2.  Despeckling of medical ultrasound images.

Authors:  Oleg V Michailovich; Allen Tannenbaum
Journal:  IEEE Trans Ultrason Ferroelectr Freq Control       Date:  2006-01       Impact factor: 2.725

  2 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.