KIISE Transactions on Computing Practices (정보과학회 컴퓨팅의 실제 논문지)

Korean Institute of Information Scientists and Engineers (한국정보과학회)
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Noise Removal in Magnetic Resonance Images based on Non-Local Means and Guided Image Filtering

비 지역적 평균과 유도 영상 필터링에 기반한 자기 공명 영상의 잡음 제거

  • Received : 2014.07.10
  • Accepted : 2014.09.20
  • Published : 2014.11.15
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Abstract

In this letter, we propose a noise reduction method for use in magnetic resonance images that is based on non-local mean and guided image filters. Our method consists of two phases. In the first phase, the guidance image is obtained from a noisy image by using an adaptive non-local mean filter. The spread of the kernel is adaptively by controlled by implementing the concept of edgeness. In the second phase, the noisy images and the guidance images are provided to the guided image filter as input in order to produce a noise-free image. The improved performance of the proposed method is investigated by conducting experiments on standard datasets that contain magnetic resonance images. The results show that the proposed scheme is superior over the existing approaches.

자기 공명 영상에서 흔히 발생하는 잡음을 없애기 위해 비 지역적 평균과 유도 영상 필터링을 이용하는 새로운 방법을 제안한다. 제안된 방법은 두 가지 단계로 구성되어 있다. 첫 단계에서는 비 지역적 평균 필터를 이용하여 잡음 영상으로부터 유도 영상 구하는데, 필터의 커널을 적응적으로 제어하기 위해 경계도(edgeness) 개념을 사용하였다. 두 번째 단계에서는 유도 영상 필터링으로 잡음을 제거하는 과정으로 원래의 잡음 영상과 앞 단계에서 구한 유도 영상을 이용하여 잡음이 제거된 영상을 복원한다. 제안된 방법의 우수성을 확인하기 위해 다양한 표준 자기 공명 영상 데이터를 이용하여 실험을 하였는데, 실험 결과 제안된 방법이 기존의 방법들에 비해 우수한 성능을 나타내는 것을 확인할 수 있었다.

Keywords

Acknowledgement

Supported by : 미래창조과학부

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