This paper examines the feasibility of automated alignment in sagittal direction in MR-TRUS fusion biopsy of the prostate by comparing the prostate contour in axial images between different modalities. In the treatment of prostate cancer, an important factor affecting the prognosis of patients is focal therapy of cancer within the prostate. Therefore, MR-TRUS fusion biopsy of the prostate is attracting attention as one of the most effective localization techniques. Because the accuracy of this biopsy is highly dependent on the doctor performing it, automation should reduce variability in diagnostic performance. The MR image is scaled to the same scale as the TRUS image, and the contours of the prostate on the MR and TRUS images are compared in polar coordinates. In addition, this method makes it possible to perform a robust comparison against deformation by comparing specific angle ranges. It is also possible to improve the accuracy of error calculation by accumulating contour data. The axial image selected by the proposed method using the prostate contour obtained from the doctor-labeled segmentation image has an error of about 4 mm in the sagittal direction on average compared to the axial image selected by the doctor did. Furthermore, using the inaccurate prostate contours obtained by performing segmentation with U-Net only slightly reduced the accuracy. In addition, it was found that alignment accuracy is improved by using the angler weight. It has been shown that sagittal alignment can be performed with some degree of accuracy using only axial images. Also, the angular weight values used indicate that when comparing axial images, it may be an important factor in determining the same axial cross section to compare the parts that deform due to probe pressure.

中文翻译：

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MR-TRUS融合活检中的矢状面对准仅使用轴向图像中的前列腺轮廓

本文通过比较不同方式之间的轴向影像中的前列腺轮廓，检查了在MR-TRUS前列腺融合活检中沿矢状方向自动对齐的可行性。在前列腺癌的治疗中，影响患者预后的重要因素是前列腺癌的局部治疗。因此，作为最有效的定位技术之一，前列腺的MR-TRUS融合活检受到关注。由于此活检的准确性高度依赖于执行该活检的医生，因此自动化应减少诊断性能的差异。将MR图像缩放到与TRUS图像相同的比例，并在极坐标中比较MR和TRUS图像上的前列腺轮廓。此外，通过比较特定的角度范围，该方法可以对变形进行可靠的比较。通过累积轮廓数据也可以提高误差计算的准确性。与由医生选择的轴向图像相比，通过本发明的方法使用从医生标记的分割图像获得的前列腺轮廓选择的轴向图像平均在矢状方向上具有约4mm的误差。此外，使用通过使用U-Net进行分割而获得的不准确的前列腺轮廓只会稍微降低准确性。另外，发现通过使用钓鱼者重量可以提高对准精度。已经表明，仅使用轴向图像就可以在一定程度上进行矢状面对准。也，