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High resolution segmentation of MR images of mouse heart chambers based on a partial-pixel effect and EM algorithm

机译:基于部分像素效应和EM算法的小鼠心脏室MR图像的高分辨率分割

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In this paper, a high resolution segmentation method for MR images of mouse heart chambers is developed, in which the E-M algorithm is adopted and extended to the spatio-temporal cardiac cycle, and a partial pixel effect (PPE) is accommodated so that the heart chambers boundary is detected to sub-pixel accuracy. The method has been tested on high and low spatial resolution images. Quantitative measurements of the left ventricle (LV) area-time curve over cardiac cycle are reported, which show that the accuracy of the LV area can be improved based on the new method, on low spatial resolution images. The average relative error of the area estimate of the new method applied to low resolution images relative to measurements on high resolution images is less than 8%.
机译:在本文中,开发了一种用于小鼠心脏室MR图像的高分辨率分割方法,其中采用并扩展到时空心动周期,并且容纳部分像素效果(PPE),使心脏效应腔室边界被检测到子像素精度。该方法已经在高空间分辨率图像上进行了测试。报道了心循环的左心室(LV)区域曲线的定量测量,这表明可以基于低空间分辨率图像基于新方法改善LV区域的精度。应用于低分辨率图像相对于高分辨率图像上的低分辨率图像的新方法的区域估计的平均相对误差小于8%。

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