MANA - Multi scale adaptive normalized averaging
2011 (English)In: 2011 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, IEEE conference proceedings, 2011, 361-364 p.Conference paper (Refereed)
It is possible to correct intensity inhomogeneity in fat–water Magnetic Resonance Imaging (MRI) by estimating a bias field based on the observed intensities of voxels classified as the pure adipose tissue. The same procedure can also be used to quantify fat volume and its distribution which opens up for new medical applications. The bias field estimation method has to be robust since pure fat voxels are irregularly located and the density varies greatly within and between image volumes. This paper introduces Multi scale Adaptive Normalized Average (MANA) that solves this problem bybasing the estimate on a scale space of weighted averages. By usingthe local certainty of the data MANA preserves details where the local data certainty is high and provides realistic values in sparse areas.
Place, publisher, year, edition, pages
IEEE conference proceedings, 2011. 361-364 p.
, International Symposium on Biomedical Imaging. Proceedings, ISSN 1945-7928
Medical Laboratory and Measurements Technologies Computer Vision and Robotics (Autonomous Systems) Radiology, Nuclear Medicine and Medical Imaging
IdentifiersURN: urn:nbn:se:liu:diva-67848DOI: 10.1109/ISBI.2011.5872424ISI: 000298849400083ISBN: 978-1-4244-4128-0OAI: oai:DiVA.org:liu-67848DiVA: diva2:413635
IEEE International Symposium on Biomedical Imaging: From Nano to Macro, Chicago, IL, USA, March 30 2011-April 2 2011