Image Processing In X-Ray Ventriculography

F. A. van Meurs; P. Huysmans; G. Loois; C. R. Mol

doi:10.1117/12.941312

14 October 1987 Image Processing In X-Ray Ventriculography

F. A. van Meurs, P. Huysmans, G. Loois, C. R. Mol

Proceedings Volume 0804, Advances in Image Processing; (1987) https://doi.org/10.1117/12.941312
Event: Fourth International Symposium on Optical and Optoelectronic Applied Sciences and Engineering, 1987, The Hague, Netherlands

Abstract

Estimation of global and regional cardiac function from X-ray recordings acquired during contrast injection is a conventional clinical task which can be thoroughly facilitated by digital image processing techniques. Global left ventricular (LV) function is represented by ventricular volumes and volume changes. These are derived from the projected contours by assuming that the ventricle can be represented by an ellipsoid which has the same projected area and long axis as the ventricular silhouette (accuracy typically 10%). LV contours can be found by various automatic edge detecting techniques, but so far the success rate in clinical settings is less than 100%. Attention for user-friendly correction methods is essential. Applying subtraction of an appropriate other image from the same acquisition run as pre-processing operation improves success considerably. Quantitative analysis of regional ventricular function from these same contours can be applied nowadays ('Regional Ejection Fraction') but the outcome is dependent on the model of ventricular contraction used. As an alternative, methods are being devised to perceptively enhance the images or some dynamic feature of the image series. Output of such operations may either be a new series, which is displayed dynamically, or a static, 'functional' image. Visual observation of such images should yield detection of abnormalities based on an acquired concept of normalcy. A recent addition to such qualitative images is the generation of 3D shaded ventricular shapes constructed of contours in single or biplane images. In the latter case simultaneous interpretation of both contours has become possible.

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F. A. van Meurs, P. Huysmans, G. Loois, and C. R. Mol "Image Processing In X-Ray Ventriculography", Proc. SPIE 0804, Advances in Image Processing, (14 October 1987); https://doi.org/10.1117/12.941312

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KEYWORDS

Image processing

Image visualization

Cardiology

Visualization

Computer programming

X-rays

3D image processing

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