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.
Original language | English (US) |
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Pages (from-to) | 49-55 |
Number of pages | 7 |
Journal | Proceedings of SPIE - The International Society for Optical Engineering |
Volume | 5035 |
DOIs | |
State | Published - Sep 12 2003 |
Externally published | Yes |
Event | Medical Imaging 2003: Ultrasonic Imaging and Signal Processing - San Diego, CA, United States Duration: Feb 18 2003 → Feb 20 2003 |
Keywords
- Reduced-scan image reconstruction
- Reflectivity tomography
- Ultrasonic imaging
ASJC Scopus subject areas
- Electrical and Electronic Engineering
- Condensed Matter Physics