- Statistical methods for analysis and processing of medical ultrasound: applications to segmentation and restoration
- Alessandrini, Martino <1983>
Subject
- ING-INF/01 Elettronica
Description
- In this thesis two major topics inherent with medical ultrasound images are addressed: deconvolution and segmentation. In the first case a deconvolution algorithm is described allowing statistically consistent maximum a posteriori estimates of the tissue reflectivity to be restored. These estimates are proven to provide a reliable source of information for achieving an accurate characterization of biological tissues through the ultrasound echo. The second topic involves the definition of a semi automatic algorithm for myocardium segmentation in 2D echocardiographic images. The results show that the proposed method can reduce inter- and intra observer variability in myocardial contours delineation and is feasible and accurate even on clinical data.
Date
- 2011-04-18
Type
- Doctoral Thesis
- PeerReviewed
Format
- application/pdf
Identifier
urn:nbn:it:unibo-2486
Alessandrini, Martino (2011) Statistical methods for analysis and processing of medical ultrasound: applications to segmentation and restoration, [Dissertation thesis], Alma Mater Studiorum Università di Bologna. Dottorato di ricerca in Tecnologie dell'informazione