Self-adaptive masking method for automatic shape recognition and motion correction of thallium-201 myocardial perfusion SPECT imaging

K. Dong, M. Tabrizi, A. Movahed
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引用次数: 2

Abstract

We introduce a new self-adaptive masking method for shape detection of low signal to noise ratio (SNR) images to improve the tracking capabilities of the motion correction in nuclear cardiac imaging. The method is developed using two-dimensional fast Fourier transform, ideal filtering in the frequency domain, recursive thresholding, and region recognition. This method is independent of the correlation between the context of the planar images and has a good tolerance for low SNR images. Also it is robust under the circumstances of significant abrupt motion of the object.
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自适应掩蔽法在铊-201心肌灌注SPECT成像中的自动形状识别和运动校正
提出了一种新的自适应掩蔽方法用于低信噪比图像的形状检测,以提高核心脏成像中运动校正的跟踪能力。该方法采用二维快速傅里叶变换、频域理想滤波、递归阈值分割和区域识别技术。该方法不依赖于平面图像上下文之间的相关性,对低信噪比图像具有良好的容忍度。在物体剧烈的突然运动情况下也具有鲁棒性。
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