Sum of top-hat transform based algorithm for vessel enhancement in MRA images

Hibet-Allah Ouazaa; Hajer Jlassi; Kamel Hamrouni

doi:10.1117/12.2309866

13 April 2018 Sum of top-hat transform based algorithm for vessel enhancement in MRA images

Hibet-Allah Ouazaa, Hajer Jlassi, Kamel Hamrouni

Proceedings Volume 10696, Tenth International Conference on Machine Vision (ICMV 2017); 106961D (2018) https://doi.org/10.1117/12.2309866
Event: Tenth International Conference on Machine Vision, 2017, Vienna, Austria

Abstract

The Magnetic Resonance Angiography (MRA) is rich with information’s. But, they suffer from poor contrast, illumination and noise. Thus, it is required to enhance the images. But, these significant information can be lost if improper techniques are applied. Therefore, in this paper, we propose a new method of enhancement. We applied firstly the CLAHE method to increase the contrast of the image. Then, we applied the sum of Top-Hat Transform to increase the brightness of vessels. It is performed with the structuring element oriented in different angles. The methodology is tested and evaluated on the publicly available database BRAINIX. And, we used the measurement methods MSE (Mean Square Error), PSNR (Peak Signal to Noise Ratio) and SNR (Signal to Noise Ratio) for the evaluation. The results demonstrate that the proposed method could efficiently enhance the image details and is comparable with state of the art algorithms. Hence, the proposed method could be broadly used in various applications.

Citation Download Citation

Hibet-Allah Ouazaa, Hajer Jlassi, and Kamel Hamrouni "Sum of top-hat transform based algorithm for vessel enhancement in MRA images ", Proc. SPIE 10696, Tenth International Conference on Machine Vision (ICMV 2017), 106961D (13 April 2018); https://doi.org/10.1117/12.2309866

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