## Virtual sensors for 2D vector field tomography

JOSA A, Vol. 27, Issue 6, pp. 1331-1341 (2010)

http://dx.doi.org/10.1364/JOSAA.27.001331

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### Abstract

We consider the application of tomography to the reconstruction of 2-D vector fields. The most convenient sensor configuration in such problems is the regular positioning along the domain boundary. However, the most accurate reconstructions are obtained by sampling uniformly the Radon parameter domain rather than the border of the reconstruction domain. This dictates a prohibitively large number of sensors and impractical sensor positioning. In this paper, we propose uniform placement of the sensors along the boundary of the reconstruction domain and interpolation of the measurements for the positions that correspond to uniform sampling in the Radon domain. We demonstrate that when the cubic spline interpolation method is used, a 60 times reduction in the number of sensors may be achieved with only about 10% increase in the error with which the vector field is estimated. The reconstruction error by using the same sensors and ignoring the necessity of uniform sampling in the Radon domain is in fact higher by about 30%. The effects of noise are also examined.

© 2010 Optical Society of America

**OCIS Codes**

(100.3190) Image processing : Inverse problems

(110.0110) Imaging systems : Imaging systems

(110.6960) Imaging systems : Tomography

(110.6955) Imaging systems : Tomographic imaging

**ToC Category:**

Imaging Systems

**History**

Original Manuscript: May 26, 2009

Revised Manuscript: January 28, 2010

Manuscript Accepted: February 10, 2010

Published: May 14, 2010

**Virtual Issues**

Vol. 5, Iss. 10 *Virtual Journal for Biomedical Optics*

**Citation**

Archontis Giannakidis, Leonidas Kotoulas, and Maria Petrou, "Virtual sensors for 2D vector field tomography," J. Opt. Soc. Am. A **27**, 1331-1341 (2010)

http://www.opticsinfobase.org/vjbo/abstract.cfm?URI=josaa-27-6-1331

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