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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Lobodzinski, S.M. Loevenskiold, T. Ginzton, L.E. Laks, M.M. |
| Copyright Year | 1988 |
| Description | Author affiliation: California State Univ., Long Beach, CA, USA (Lobodzinski, S.M.) |
| Abstract | Summary form only given. A knowledge-based image processing method for automatic spectral boundary detection in Doppler images has been developed. Unlike boundary-detection algorithms which identify spectral edges as regions of rapid changes in gray level, the method utilizes high-level contextual knowledge. The lower level image analysis involves area-of-interest preprocessing, directional-gradient-operator computation, and an edge-point linking scheme. The higher level portion incorporates information about typical spectral densities of continuous-wave (CW) and pulse-wave (PW) Doppler envelopes, envelope geometry, and normal ranges of blood flow velocities and pressure gradients for all measurement sites. Eleven normal and fourteen abnormal Doppler recordings were acquired online from aortic, mitral, tricuspid, pulmonary, and aortic sites using the Dextra D-200 image analysis system. Measurements of peak and mean pressure gradients and velocities from automatically detected spectral boundaries were compared with computer-derived measurements from manually derived boundaries by three independent observers and the accuracy of the automatic approach.< |
| File Size | 43423 |
| File Format | |
| ISBN | 081861949X |
| DOI | 10.1109/CIC.1988.72675 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 1988-09-25 |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Image edge detection Velocity measurement Pressure measurement Pulse measurements Image processing Joining processes Information geometry Blood flow Density measurement Fluid flow measurement |
| Content Type | Text |
| Resource Type | Article |
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