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    • 8. 发明申请
    • COUNT ADAPTIVE NOISE REDUCTION METHOD OF X-RAY IMAGES
    • 计算X射线图像的自适应噪声减少方法
    • US20060008174A1
    • 2006-01-12
    • US10710391
    • 2004-07-07
    • Gopal AvinashNicholas MarinelliKadri Jabri
    • Gopal AvinashNicholas MarinelliKadri Jabri
    • G06K9/40
    • G06T5/002G06T5/20G06T2207/10116G06T2207/20012G06T2207/30004
    • A method of adaptively reducing noise within an x-ray image includes receiving raw data (R) representing a detected x-ray signal from an object. A counts-based modulation mask (Mcb) is generated in response to the raw data (R). In one embodiment, a structure dependent noise filtered image (Iblended) is generated in response to the raw data. A noise-reduced image (IF) is generated in response to the counts-based modulation mask (Mcb) and the structure dependent noise filtered image (Iblended). In another embodiment, a structure gradient mask (Mcs) is generated in response to the raw data (R). The noise-reduced image (IF) is generated in response to the counts-based modulation mask (Mcb) and the structure gradient mask (Mcs).
    • 自适应地降低X射线图像内的噪声的方法包括从对象接收表示检测到的x射线信号的原始数据(R)。 基于原始数据(R)生成基于计数的调制掩码(M SUB cb)。 在一个实施例中,响应原始数据生成结构依赖噪声滤波图像(I<<<<<>)。 响应于基于计数的调制掩码(M SUB)和结构依赖的噪声滤波图像(I SUB),产生噪声降低的图像(I SUB) 混合)。 在另一实施例中,响应原始数据(R)产生结构梯度掩模(M SUB)。 响应于基于计数的调制掩模(M SUB)和结构梯度掩模(M SUB),产生噪声降低的图像(I SUB) / SUB>)。