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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Strahlen, K. |
| Copyright Year | 2000 |
| Description | Author affiliation: Centre for Math. Sci., Lund Inst. of Technol., Sweden (Strahlen, K.) |
| Abstract | When for example a blood flow is measured by ultrasound Doppler tomography, part of the received data can be modelled as the Radon transform of the region of reflecting particles. The reconstruction problem thus consists of determining a homogeneous object (that is to determine a function only attaining the values 0 and 1) from Radon transform data. The standard inversion method for the Radon transform could be used, however, they do not explicitly use the fact that the function to be reconstructed is binary, in which case the reconstruction procedure ought to be less sensitive to noise. Here we develop an algorithm that use the a priori information to make reliable reconstructions even in the presence of severe noise. |
| Starting Page | 629 |
| Ending Page | 632 |
| File Size | 290271 |
| Page Count | 4 |
| File Format | |
| ISBN | 0780362977 |
| ISSN | 15224880 |
| DOI | 10.1109/ICIP.2000.899517 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2000-09-10 |
| Publisher Place | Canada |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Tomography Subspace constraints Particle beams Blood flow Particle measurements Acoustic noise Ultrasonic imaging Ultrasonic variables measurement Mathematics Optical reflection |
| Content Type | Text |
| Resource Type | Article |
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