Intensity transform and Wiener filter in measurement of blood flow in arteriography

Polyana F. Nunes; Marcelo L. N. Franco; João B. D. Filho; Ana C. Patrocínio

doi:10.1117/12.2082419

20 March 2015 Intensity transform and Wiener filter in measurement of blood flow in arteriography

Polyana F. Nunes, Marcelo L. N. Franco, João B. D. Filho, Ana C. Patrocínio

Proceedings Volume 9413, Medical Imaging 2015: Image Processing; 941326 (2015) https://doi.org/10.1117/12.2082419
Event: SPIE Medical Imaging, 2015, Orlando, Florida, United States

Abstract

Using the arteriography examination, it is possible to check anomalies in blood vessels and diseases such as stroke, stenosis, bleeding and especially in the diagnosis of Encephalic Death in comatose individuals. Encephalic death can be diagnosed only when there is complete interruption of all brain functions, and hence the blood stream. During the examination, there may be some interference on the sensors, such as environmental factors, poor maintenance of equipment, patient movement, among other interference, which can directly affect the noise produced in angiography images. Then, we need to use digital image processing techniques to minimize this noise and improve the pixel count. Therefore, this paper proposes to use median filter and enhancement techniques for transformation of intensity using the sigmoid function together with the Wiener filter so you can get less noisy images. It’s been realized two filtering techniques to remove the noise of images, one with the median filter and the other with the Wiener filter along the sigmoid function. For 14 tests quantified, including 7 Encephalic Death and 7 other cases, the technique that achieved a most satisfactory number of pixels quantified, also presenting a lesser amount of noise, is the Wiener filter sigmoid function, and in this case used with 0.03 cuttof.

Citation Download Citation

Polyana F. Nunes, Marcelo L. N. Franco, João B. D. Filho, and Ana C. Patrocínio "Intensity transform and Wiener filter in measurement of blood flow in arteriography", Proc. SPIE 9413, Medical Imaging 2015: Image Processing, 941326 (20 March 2015); https://doi.org/10.1117/12.2082419

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