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NMR Object Boundaries: B-Spline Modeling and Estimator Performance
dc.contributor.authorTitus, Stephen R.en_US
dc.contributor.authorHero, Alfred O. IIIen_US
dc.contributor.authorFessler, Jeffrey A.en_US
dc.date.accessioned2011-08-18T18:20:51Z
dc.date.available2011-08-18T18:20:51Z
dc.date.issued1995-05-09en_US
dc.identifier.citationTitus, S.R.; Hero, A.O., III; Fessler, J.A. (1995). "NMR Object Boundaries: B-Spline Modeling and Estimator Performance." International Conference on Acoustics, Speech, and Signal Processing 4: 2423-2426. <http://hdl.handle.net/2027.42/85835>en_US
dc.identifier.urihttps://hdl.handle.net/2027.42/85835
dc.description.abstractWe give estimation error bounds and specify optimal estimators for continuous, closed boundary curves in an NMR image. The boundary is parameterized using periodic B-splines. A Cramer-Rao lower bound on mean-square-estimate error in the presence of system smoothing and Gaussian noise is derived, and the performance of maximum likelihood and penalized maximum likelihood estimators is compared to this bound. Finally, we comment on the usefulness of estimates of the boundary for providing anatomical side information in the reconstruction of functional tomographic images like those of a PET or SPECT system.en_US
dc.publisherIEEEen_US
dc.titleNMR Object Boundaries: B-Spline Modeling and Estimator Performanceen_US
dc.typeArticleen_US
dc.subject.hlbsecondlevelBiomedical Engineeringen_US
dc.subject.hlbtoplevelEngineeringen_US
dc.description.peerreviewedPeer Revieweden_US
dc.contributor.affiliationumDepartment of EECS.en_US
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/85835/1/Fessler133.pdf
dc.identifier.doi10.1109/ICASSP.1995.479982en_US
dc.identifier.sourceInternational Conference on Acoustics, Speech, and Signal Processingen_US
dc.owningcollnameElectrical Engineering and Computer Science, Department of (EECS)


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