NDLI: On the extension of level-set curve evolution methods for low-sensitivity imaging problems

Content Provider	IEEE Xplore Digital Library
Author	Miled, M.K.B.H. Miller, E.
Copyright Year	2002
Description	Author affiliation: Dept. of Electr. & Comput. Eng., Northeastern Univ., Boston, MA, USA (Miled, M.K.B.H.; Miller, E.)
Abstract	We address inverse medium problems characterized by low-sensitivity observation data. A new level-set based method to recover the structure of piecewise homogeneous media is proposed. We make two contributions to this area of research. First, we capitalize on the flexibility in specifying the level-set velocity function in a way which counteracts the low sensitivity characteristic of the problem. The new approach speeds convergence while keeping the level set function smooth. Second, extending the current state of the art in the use of level sets for known binary media, we describe a simple and efficient implementation for N-ary media problems. We restrict our application examples to the electrical resistance tomography (ERT) problem, however, the proposed approaches are applicable to a variety of inverse problems involving shape reconstruction. We demonstrate the utility of our approach through a series of simulations using synthetic ERT data. Despite the ill-posed nature of the ERT problem, the simulation results show quite accurate estimations of the locations, sizes and shapes of multiple spatial inhomogeneities.
Sponsorship	IEEE Signal Process. Soc
File Size	372399
File Format	PDF
ISBN	0780376226
ISSN	15224880
DOI	10.1109/ICIP.2002.1040028
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2002-09-22
Publisher Place	USA
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Tomography Inverse problems Electric resistance Shape Physics Conductivity Cost function Level set Image reconstruction Medical simulation
Content Type	Text
Resource Type	Article

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