HARP TRACKING REFINEMENT USING SEEDED REGION GROWING

Tagged magnetic resonance (MR) imaging makes it possible to image the motion of tissues such as the muscles found in the heart and tongue. The harmonic phase (HARP) method largely automates the process of tracking points within tagged MR images. It works by finding spatial points in successive images that retain the same two harmonic phase values throughout the entire image sequence. Given a set of tracked points, many interesting and useful motion properties such as regional displacement or rotation, elongation, strain, and twist, can be computed. When there is a large motion between successive image frames, HARP tracking can fail, and this results in mistracked points and erroneous motion estimates. In this paper, we present a novel HARP refinement method based on seeded region growing that addresses this problem. Starting from a given seed point which is determined by the user to be correctly tracked throughout the entire sequence, this method can reliably track the motion of the whole tissue. A novel cost function is used in the region growing to assure that points that can be most reliably tracked are tracked first. Experimental results on tagged MR images of the tongue demonstrate very reliable tracking

标记的磁共振（MR）成像使您可以成像组织的运动，例如心脏和舌头中发现的肌肉。谐波阶段（HARP）方法在很大程度上自动化了标记的MR图像中跟踪点的过程。它通过在连续的图像中找到空间点，这些空间点在整个图像序列中保留了相同的两个谐波相值。给定一组跟踪点，可以计算许多有趣且有用的运动特性，例如区域位移或旋转，伸长，应变和扭曲。当连续的图像帧之间有大型运动时，竖琴跟踪可能会失败，这会导致误导点和错误的运动估计。在本文中，我们提出了一种基于种子种植的新型竖琴改进方法，该方法解决了这个问题。从给定的种子点开始，该种子点由用户确定要在整个序列中正确跟踪，此方法可以可靠地跟踪整个组织的运动。在该地区生长的区域中使用了一种新颖的成本功能，以确保可以最可靠地跟踪的点进行跟踪。舌头标记的MR图像的实验结果表现出非常可靠的跟踪