Open AccessExtracting acoustic shadowing from ultrasound image using local difference
Author(s) -
Hyun Jun Park,
Kwang-Baek Kim
Publication year - 2019
Publication title -
indonesian journal of electrical engineering and computer science
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.241
H-Index - 17
eISSN - 2502-4760
pISSN - 2502-4752
DOI - 10.11591/ijeecs.v13.i1.pp205-209
Subject(s) - acoustic shadow , shadow (psychology) , ultrasonogram , ultrasound , point (geometry) , image (mathematics) , computer science , computer vision , artificial intelligence , acoustics , mathematics , ultrasonography , physics , geometry , radiology , psychology , psychotherapist , medicine
We propose a method for extracting acoustic shadowing from ultrasound image. If we locate the acoustic shadowing exactly then we can also extract the hyperechoic substances with a high probability. The proposed method reconstitutes an original ultrasound image to simplify calculations and uses the locally horizontal difference to extract shadow candidates. The shadow candidates are classified into start and finish point, and shadow regions are extracted by using them. The experiment results show the proposed method extracts 23 of 27 acoustic shadows from ultrasonogram efficiently and it can be used in wide applications.