High resolution 3D color flow mapping of breast vasculature
| Autor: | Michelle B. Plantec, B. Zagar, Katherine W. Ferrara, J. Sokil-Melgar |
|---|---|
| Rok vydání: | 2002 |
| Předmět: |
Signal processing
Noise (signal processing) Computer science business.industry Quantitative Biology::Tissues and Organs Physics::Medical Physics Resolution (electron density) Iterative reconstruction Signal Tree (data structure) Transmission (telecommunications) Flow (mathematics) Computer vision Artificial intelligence business |
| Zdroj: | Scopus-Elsevier |
| DOI: | 10.1109/ultsym.1995.495832 |
| Popis: | In order to develop a three dimensional (3D) color flow map of low velocity flow through small vessels, the authors explore the use of a high resolution velocity estimation technique and the use of 3D continuity to reconstruct a single vascular tree. Following the transmission of a wideband signal, a signal processing strategy which tracks the motion of red blood cells in small regions is used to estimate the axial velocity. A new method for optimization of the coherent signal interval is introduced. The authors also consider the effect of various noise sources on the resulting color flow map. Motion of the rib cage and breast tissue during cardiac systole are shown to display unique features and the authors evaluate the extent and velocity of this tissue motion. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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