To explore the impact of different image registration algorithms on the diagnosis of visual path damage in patients with primary open angle glaucoma (POAG), 60 cases of suspected POAG patients were selected as the research objects. Shape-preserving scale invariant feature transform (SP-SIFT) algorithm, scale invariant feature transform (SIFT) algorithm, and Kanade-Lucas-Tomasi (KLT) algorithm were compared and applied to MRI images of 60 POAG patients. It was found that the SP-SIFT algorithm converged after 33 iterations, which had a higher registration speed than the SIFT algorithm and the KLT algorithm. The mean errors of the SP-SIFT algorithm in the rotation angle, X-direction translation, and Y-direction translation were 2.11%, 4.56%, and 4.31%, respectively. Those of the SIFT algorithm were 5.55%, 9.98%, and 7.01%, respectively. Those of the KLT algorithm were 7.45%, 11.31%, and 8.56%, respectively, and the difference among algorithms was significant (). The diagnostic sensitivity and accuracy of the SP-SIFT algorithm for POAG were 96.15% and 94.34%, respectively. Those of the SIFT algorithm were 94.68% and 90.74%, respectively. Those of the KLT algorithm were 94.21% and 90.57%, respectively, and the three algorithms had significant differences (). The results of MRI images based on the SP-SIFT algorithm showed that the average thickness of the cortex of the patient’s left talar sulcus, right talar sulcus, left middle temporal gyrus, and left fusiform gyrus were 2.49 ± 0.15 mm, 2.62 ± 0.13 mm, 3.00 ± 0.10 mm, and 2.99 ± 0.17 mm, respectively. Those of the SIFT algorithm were 2.51 ± 0.17 mm, 2.69 ± 0.12 mm, 3.11 ± 0.13 mm, and 3.09 ± 0.14 mm, respectively. Those of the KLT algorithm were 2.35 ± 0.12 mm, 2.52 ± 0.16 mm, 2.77 ± 0.11 mm, and 2.87 ± 0.17 mm, respectively, and the three algorithms had significant differences (). In summary, the SP-SIFT algorithm was ideal for POAG visual pathway diagnosis and was of great adoption potential in clinical diagnosis.

中文翻译：

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原发性开角型青光眼视路损伤优化配准算法下的MRI图像

为探讨不同图像配准算法对原发性开角型青光眼（POAG）患者视路损伤诊断的影响，选取60例疑似POAG患者作为研究对象。将保形尺度不变特征变换（SP-SIFT）算法、尺度不变特征变换（SIFT）算法和Kanade-Lucas-Tomasi（KLT）算法进行比较，并应用于60例POAG患者的MRI图像。发现SP-SIFT算法经过33次迭代后收敛，比SIFT算法和KLT算法具有更高的配准速度。SP-SIFT 算法在旋转角度、X方向平移和Y方向的平均误差-方向平移分别为 2.11%、4.56% 和 4.31%。SIFT 算法分别为 5.55%、9.98% 和 7.01%。KLT算法分别为7.45%、11.31%和8.56%，算法间差异显着（）。SP-SIFT 算法对 POAG 的诊断灵敏度和准确度分别为 96.15% 和 94.34%。SIFT 算法的分别为 94.68% 和 90.74%。KLT算法分别为94.21%和90.57%，三种算法差异显着（）。基于SP-SIFT算法的MRI图像结果显示，患者左侧距骨沟、右侧距骨沟、左侧颞中回、左侧梭状回皮层平均厚度分别为2.49±0.15mm、2.62±0.13mm 、3.00 ± 0.10 毫米和 2.99 ± 0.17 毫米。SIFT 算法的分别为 2.51 ± 0.17 mm、2.69 ± 0.12 mm、3.11 ± 0.13 mm 和 3.09 ± 0.14 mm。KLT算法分别为2.35±0.12mm、2.52±0.16mm、2.77±0.11mm和2.87±0.17mm，三种算法差异显着（）。总之，SP-SIFT算法是POAG视觉通路诊断的理想选择，在临床诊断中具有很大的应用潜力。