Image reconstruction in thermoacoustic tomography with compensation for acoustic heterogeneities

Mark A. Anastasio; Jin Zhang; Xiaochuan Pan

doi:10.1117/12.595866

12 April 2005 Image reconstruction in thermoacoustic tomography with compensation for acoustic heterogeneities

Mark A. Anastasio, Jin Zhang, Xiaochuan Pan

Proceedings Volume 5750, Medical Imaging 2005: Ultrasonic Imaging and Signal Processing; (2005) https://doi.org/10.1117/12.595866
Event: Medical Imaging, 2005, San Diego, California, United States

Abstract

Thermoacoustic tomography (TAT) is an emerging imaging technique with great potential for a wide range of biomedical imaging applications. It is customary in TAT to assume that the object is acoustically homogeneous, which can result in image artifacts in medical applications. In this work, we investigate an iterative reconstruction approach for TAT that can compensate for acoustic heterogeneities via inversion of a generalized Radon transform imaging model. We demonstrate numerically that the generalized Radon transform model can be inverted uniquely and stably by use of only half of the acquired measurement data. The effects of imperfect knowledge of the acoustic heterogeneity map are also investigated.

Citation Download Citation

Mark A. Anastasio, Jin Zhang, and Xiaochuan Pan "Image reconstruction in thermoacoustic tomography with compensation for acoustic heterogeneities", Proc. SPIE 5750, Medical Imaging 2005: Ultrasonic Imaging and Signal Processing, (12 April 2005); https://doi.org/10.1117/12.595866

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