Tissue Characterisation In Spectral Ct Data
Alternative metrics PlumXhttp://hdl.handle.net/11012/186614
MetadataShow full item record
This article deals with tissue characterisation in virtual monoenergetic images (VMI). It presents that with growing energy of VMI the median of CT number increases or decreases with different steepness depending on a type of tissue. As a consequence, some VMI enable better soft tissue distinction and therefore their better classification. To determine which VMI are best suited, Cohen d was used. After that, Random Forest classification algorithm was applied to these images. If median of pixels is considered in addition to pixels themselves, the tissues can be clasiffied correctly.
Document typePeer reviewed
Document versionxmlui.vut.verze.Publishers's version
SourceProceedings of the 25st Conference STUDENT EEICT 2019. s. 46-49. ISBN 978-80-214-5735-5
- Student EEICT 2019