Ultrasound Surface Extraction for Advanced Skin Rendering
Independent thesis Advanced level (professional degree), 20 credits / 30 HE creditsStudent thesis
This report evaluates possibilities to combine volumetric ultrasound (us) data together with the recent work published on advanced skin rendering techniques. We focus mainly on how to filter us data and localize surfaces within us data. We also evaluate recent skin rendering techniques in order to have a good understanding of what is needed from the us for rendering realistic skin. us data is acquired using sonography and have a low signal-to-noise ratio by nature, this makes it harder to extract surfaces compared to other medical data acquisition methods such as ct and mr. This report present an algorithm which implements a variational classification technique to emphasize surfaces within us and using a rbf network to fit an implicit function to these surfaces. Using this approach presented we have successfully extract smooth meshes from the noisy us data.
Place, publisher, year, edition, pages
2013. , 33 p.
Ultrasound, Surface Extraction, Surface Reconstruction, Radial Basis Function, Point Cloud Data
Media and Communication Technology
IdentifiersURN: urn:nbn:se:liu:diva-98681ISRN: LiU-ITN-TEK-A--13/041--SEOAI: oai:DiVA.org:liu-98681DiVA: diva2:655285
Subject / course