Paper
30 May 2001 Myocardial perfusion assessment with contrast echocardiography
Manuel Desco, Maria J. Ledesma-Carbayo, Andres Santos, Miguel A. Garcia-Fernandez, Pedro Marcos-Alberca, Norberto Malpica, Jose C. Antoranz, Pedro Garcia-Barreno
Author Affiliations +
Abstract
Assessment of intramyocardial perfusion by contrast echocardiography is a promising new technique that allows to obtain quantitative parameters for the assessment of ischemic disease. In this work, a new methodology and a software prototype developed for this task are presented. It has been validated with Coherent Contrast Imaging (CCI) images acquired with an Acuson Sequoia scanner. Contrast (Optison microbubbles) is injected continuously during the scan. 150 images are acquired using low mechanical index U/S pulses. A burst of high mechanical index pulses is used to destroy bubbles, thus allowing to detect the contrast wash-in. The stud is performed in two conditions: rest and pharmacologically induced stress. The software developed allows to visualized the study (cine) and to select several ROIs within the heart wall. The position of these ROIs along the cardiac cycle is automatically corrected on the basis of the gradient field, and they can also be manually corrected in case the automatic procedure fails. Time curves are analyzed according to a parametric model that incorporates both contrast inflow rate and cyclic variations. Preliminary clinical results on 80 patients have allowed us to identify normal and pathological patterns and to establish the correlation of quantitative parameters with the real diagnosis.
© (2001) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Manuel Desco, Maria J. Ledesma-Carbayo, Andres Santos, Miguel A. Garcia-Fernandez, Pedro Marcos-Alberca, Norberto Malpica, Jose C. Antoranz, and Pedro Garcia-Barreno "Myocardial perfusion assessment with contrast echocardiography", Proc. SPIE 4325, Medical Imaging 2001: Ultrasonic Imaging and Signal Processing, (30 May 2001); https://doi.org/10.1117/12.428231
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Cited by 4 scholarly publications.
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KEYWORDS
Heart

Visualization

Software development

Echocardiography

Image segmentation

Coherence imaging

Ultrasonography

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