Academic Journal
Videodensitometric Methods for Cardiac Output Measurements
| Title: | Videodensitometric Methods for Cardiac Output Measurements |
|---|---|
| Authors: | Massimo Mischi, Erik Korsten, Ton Kalker |
| Source: | EURASIP Journal on Advances in Signal Processing, Vol 2003, Iss 5, Pp 479-489 (2003) |
| Publisher Information: | SpringerOpen, 2003. |
| Publication Year: | 2003 |
| Collection: | LCC:Telecommunication LCC:Electronics |
| Subject Terms: | contrast agents, local density random walk, ultrasound, videodensitometry., Telecommunication, TK5101-6720, Electronics, TK7800-8360 |
| More Details: | Cardiac output is often measured by indicator dilution techniques, usually based on dye or cold saline injections. Developments of more stable ultrasound contrast agents (UCA) are leading to new noninvasive indicator dilution methods. However, several problems concerning the interpretation of dilution curves as detected by ultrasound transducers have arisen. This paper presents a method for blood flow measurements based on UCA dilution. Dilution curves are determined by real-time densitometric analysis of the video output of an ultrasound scanner and are automatically fitted by the Local Density Random Walk model. A new fitting algorithm based on multiple linear regression is developed. Calibration, that is, the relation between videodensity and UCA concentration, is modelled by in vitro experimentation. The flow measurement system is validated by in vitro perfusion of SonoVue contrast agent. The results show an accurate dilution curve fit and flow estimation with determination coefficient larger than 0.95 and 0.99, respectively. |
| Document Type: | article |
| File Description: | electronic resource |
| Language: | English |
| ISSN: | 16876172 1687-6172 1687-6180 |
| Relation: | https://doaj.org/toc/1687-6172; https://doaj.org/toc/1687-6180 |
| DOI: | 10.1155/S1110865703211185 |
| DOI: | 10.1155/S1687617203211185 |
| Access URL: | https://doaj.org/article/3b8d50bb76f447b38eeb3fb2f6c46cc3 |
| Accession Number: | edsdoj.3b8d50bb76f447b38eeb3fb2f6c46cc3 |
| Database: | Directory of Open Access Journals |
| ISSN: | 16876172 16876180 |
|---|---|
| DOI: | 10.1155/S1110865703211185 |
| Published in: | EURASIP Journal on Advances in Signal Processing |
| Language: | English |