Image reconstruction from reduced-scan data in ultrasonic reflectivity tomography

Xiaochuan Pan; Yu Zou; Mark A. Anastasio; Emil Sidky

doi:10.1117/12.479960

23 May 2003 Image reconstruction from reduced-scan data in ultrasonic reflectivity tomography

Xiaochuan Pan, Yu Zou, Mark A. Anastasio, Emil Sidky

Proceedings Volume 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing; (2003) https://doi.org/10.1117/12.479960
Event: Medical Imaging 2003, 2003, San Diego, California, United States

Abstract

Reflectivity tomography is an imaging technique that seeks to reconstruct the reflectivity distribution that characterizes a weakly reflecting object. As in other tomographic imaging modalities, in certain applications of reflectivity tomography it may be necessary to reconstruct an accurate image from measurement data that are incomplete, e.g., reduced-scan measurement data. Recently, we have developed a so-called 'potato peeler' perspective for heuristically demonstrating the possibility of reconstructing accurate images from reduced-scan measurement data. In this work we describe a mathematical formulation of the potato peeler perspective, which provides a theoretical justification for the development and application of reduced-scan reconstruction algorithms in reflectivity tomography. Simulation results are presented to corroborate our theoretical assertions.

Citation Download Citation

Xiaochuan Pan, Yu Zou, Mark A. Anastasio, and Emil Sidky "Image reconstruction from reduced-scan data in ultrasonic reflectivity tomography", Proc. SPIE 5035, Medical Imaging 2003: Ultrasonic Imaging and Signal Processing, (23 May 2003); https://doi.org/10.1117/12.479960

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