NDLI: Vector valued regression for iron overload estimation

Content Provider	IEEE Xplore Digital Library
Author	Baldassarre, L. Barla, A. Gianesin, B. Marinelli, M.
Copyright Year	2008
Description	Author affiliation: DIFI, Genova (Gianesin, B.; Marinelli, M.) \|\| DIFI - DISI, Genova (Baldassarre, L.) \|\| DISI, Genova (Barla, A.)
Abstract	In this work we present and discuss in detail a novel vector-valued regression technique: our approach allows for an all-at-once estimation, as opposed to solve a number of scalar-valued regression tasks. Despite its general purpose nature, the method has been designed to solve a delicate medical issue: a reliable and non-invasive assessment of body-iron overload. The Magnetic Iron Detector (MID) measures the magnetic track of a person, which depends on the anthropometric characteristics and the body-iron burden. We aim to provide an estimate of this signal in absence of iron overload. We show how this question can be formulated as the estimation of a vector-valued function which encompasses the prior knowledge on the shape of the magnetic track. This is accomplished by designing an appropriate vector-valued feature map. We successfully applied the method on a dataset of 84 volunteers.
Starting Page	1
Ending Page	4
File Size	278477
Page Count	4
File Format	PDF
ISBN	9781424421749
ISSN	10514651
DOI	10.1109/ICPR.2008.4761759
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2008-12-08
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Iron Magnetization Magnetic flux Eddy currents Liver Kernel Detectors Magnetic properties Signal generators Magnetic field measurement
Content Type	Text
Resource Type	Article
Subject	Computer Vision and Pattern Recognition

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4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
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