基于高斯平均的DTI脑模板构建方法

邓岚,王远军

DTI Brain Template Construction Based on Gaussian Averaging

Lan DENG,Yuan-jun WANG

表1 通过高斯FA模板和线性FA模板进行空间标准化前后的FA图之间的关联性（corrFA值）

Table 1 Correlation of FA maps (corrFA) before and after spatial normalization by Gaussian FA template and linear FA template, respectively

被试编号 linear Gauss 1 0.568 0.733 2 0.643 0.664 3 0.620 0.667 4 0.627 0.674 5 0.605 0.684 6 0.610 0.630 7 0.674 0.627 8 0.606 0.708 9 0.608 0.710 10 0.639 0.669 11 0.629 0.690 12 0.607 0.639 13 0.618 0.634 14 0.652 0.659 15 0.608 0.620 16 0.641 0.689 17 0.674 0.675 18 0.604 0.618 19 0.637 0.668 20 0.591 0.605 21 0.659 0.733 22 0.624 0.629 23 0.631 0.632 24 0.630 0.687 25 0.645 0.647 26 0.677 0.712 27 0.597 0.659 28 0.669 0.692 29 0.653 0.662 30 0.610 0.683 31 0.638 0.685 32 0.627 0.675 33 0.613 0.661 34 0.607 0.671 35 0.627 0.652 36 0.616 0.634 37 0.667 0.669 38 0.604 0.688 39 0.607 0.616 40 0.633 0.636 41 0.679 0.685 42 0.626 0.690 43 0.688 0.690 44 0.608 0.637 45 0.653 0.657 46 0.628 0.651 47 0.693 0.698 48 0.698 0.760 49 0.683 0.698 50 0.664 0.719 51 0.619 0.650 52 0.669 0.689 53 0.607 0.608 54 0.627 0.653 55 0.682 0.696 平均值±标准差 0.635±0.030 0.668±0.033