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Biomedical Optics Express

Biomedical Optics Express

  • Editor: Joseph A. Izatt
  • Vol. 3, Iss. 6 — Jun. 1, 2012
  • pp: 1300–1311

Algorithm validation using multicolor phantoms

Daniel V. Samarov, Matthew L. Clarke, Ji Youn Lee, David W. Allen, Maritoni Litorja, and Jeeseong Hwang  »View Author Affiliations


Biomedical Optics Express, Vol. 3, Issue 6, pp. 1300-1311 (2012)
http://dx.doi.org/10.1364/BOE.3.001300


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Abstract

We present a framework for hyperspectral image (HSI) analysis validation, specifically abundance fraction estimation based on HSI measurements of water soluble dye mixtures printed on microarray chips. In our work we focus on the performance of two algorithms, the Least Absolute Shrinkage and Selection Operator (LASSO) and the Spatial LASSO (SPLASSO). The LASSO is a well known statistical method for simultaneously performing model estimation and variable selection. In the context of estimating abundance fractions in a HSI scene, the “sparse” representations provided by the LASSO are appropriate as not every pixel will be expected to contain every endmember. The SPLASSO is a novel approach we introduce here for HSI analysis which takes the framework of the LASSO algorithm a step further and incorporates the rich spatial information which is available in HSI to further improve the estimates of abundance. In our work here we introduce the dye mixture platform as a new benchmark data set for hyperspectral biomedical image processing and show our algorithm’s improvement over the standard LASSO.

© 2012 OSA

OCIS Codes
(000.5490) General : Probability theory, stochastic processes, and statistics
(120.0120) Instrumentation, measurement, and metrology : Instrumentation, measurement, and metrology
(170.0170) Medical optics and biotechnology : Medical optics and biotechnology
(170.3880) Medical optics and biotechnology : Medical and biological imaging
(180.0180) Microscopy : Microscopy
(350.4800) Other areas of optics : Optical standards and testing
(110.4234) Imaging systems : Multispectral and hyperspectral imaging

ToC Category:
Calibration, Validation and Phantom Studies

History
Original Manuscript: March 12, 2012
Revised Manuscript: April 26, 2012
Manuscript Accepted: April 26, 2012
Published: May 9, 2012

Virtual Issues
Phantoms for the Performance Evaluation and Validation of Optical Medical Imaging Devices (2012) Biomedical Optics Express

Citation
Daniel V. Samarov, Matthew L. Clarke, Ji Youn Lee, David W. Allen, Maritoni Litorja, and Jeeseong Hwang, "Algorithm validation using multicolor phantoms," Biomed. Opt. Express 3, 1300-1311 (2012)
http://www.opticsinfobase.org/boe/abstract.cfm?URI=boe-3-6-1300


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