Breast lesion localization using tactile imaging is a new and developing direction in medical science. To achieve the goal, proper image reconstruction and image registration can be a valuable asset. In this paper, a new approach of the segmentation-based image surface reconstruction algorithm is used to reconstruct the surface of a breast phantom. In breast tissue, the sub-dermal vein network is used as a distinguishable pattern for reconstruction. The proposed image capturing device contacts the surface of the phantom, and surface deformation will occur due to applied force at the time of scanning. A novel force based surface rectification system is used to reconstruct a deformed surface image to its original structure. For the construction of the full surface from rectified images, advanced affine scale-invariant feature transform (A-SIFT) is proposed to reduce the affine effect in time when data capturing. Camera position based image stitching approach is applied to construct the final original non-rigid surface. The proposed model is validated in theoretical models and real scenarios, to demonstrate its advantages with respect to competing methods. The result of the proposed method, applied to path reconstruction, ends with a positioning accuracy of 99.7%
翻译:使用触摸成像的乳腺癌局部化是医学领域一个新的和不断发展的方向。为了实现这个目标,适当的图像重建和图像登记可以成为宝贵的资产。在本文件中,使用基于分层图像表面重建算法的新方法来重建乳腺幻影表面。在乳房组织中,使用亚皮肤血管网络作为可辨别的重建模式。拟议的图像捕获设备设备接触幽灵表面,表面变形将因扫描时的强度而发生。以力量为基础的表面校正系统被用来重建一个变形的表面图像到其原始结构。为了从被校正的图像中建造完整的表面,建议采用先进的扇形变形特征变形法(A-SIFT)来减少数据采集时的偏离效应。基于相机位置的图像缝合方法用于建造最后的原非硬化表面。提议的模型将在理论模型和真实假设中验证,以展示其与竞争方法的优势。拟议方法的结果,用于道路重建,最后定位为99.7 %的精确度。