CAJ | 학술논문

医学CT图像在成像的过程中,不可避免地会引入噪声.图像噪声会降低图像质量,影响临床诊断.因此,医学 CT 图像降噪在诊疗中起着重要作用.本文首先介绍了经典的 NL-Means (非局部均值算法)算法,然后在此基础上改变对降噪起关键作用的加权核函数.实验证明本文算法对医学图像降噪有一定的效果,并且能够更好保留原图像的细节信息.在图像降噪后的峰值信噪比(PSNR)方面,本文算法比NL-Means算法最大可提升2.59 dB.
의학CT도상재성상적과정중,불가피면지회인입조성.도상조성회강저도상질량,영향림상진단.인차,의학 CT 도상강조재진료중기착중요작용.본문수선개소료경전적 NL-Means (비국부균치산법)산법,연후재차기출상개변대강조기관건작용적가권핵함수.실험증명본문산법대의학도상강조유일정적효과,병차능구경호보류원도상적세절신식.재도상강조후적봉치신조비(PSNR)방면,본문산법비NL-Means산법최대가제승2.59 dB.
The medical CT Image will bring in noise when in the process of imaging. The noise can reduce the quality of image and affect the clinical diagnosis. Therefore, medical CT image denoising plays an important role in the diagnosis and treatment. This paper proposes the classical NL-Means algorithm at firse, then changes the denoising key role of the weighted kernel function. The experiment shows the algorithm for medical CT image denoising have certain effect, and can better preserve the detail information. For the PSNR, it can be improved by 2.59 dB at most.