Dong Ying, Chang Zheng, Whitehead Gregory, Ji Jim
Annu Int Conf IEEE Eng Med Biol Soc. 2013;2013:2960-3. doi: 10.1109/EMBC.2013.6610161.
MRI has the potential to be used as a preferred imaging method for brachytherapy during the seed insertion and post-surgery evaluation. However, the brachytherapy seeds usually appear dark in the MRI magnitude images. Previously, we have developed a method based on susceptibility mapping to generate positive contrast of the seeds, which allows improved seed localization. In this paper, we propose a new method to localize the seeds by deconvolution using a seed kernel (i.e. the calculated magnetic field surrounding a seed). The deconvolution is solved using a regularized L1 minimization. Results from simulated and experimental data sets show that the seeds can be identified and localized using the proposed method more precisely.
磁共振成像（MRI）有潜力作为近距离放射治疗中种子植入过程及术后评估的首选成像方法。然而，近距离放射治疗种子在MRI幅度图像中通常呈现为暗区。此前，我们已开发出一种基于磁化率映射的方法来生成种子的正性对比，从而改善种子定位。在本文中，我们提出一种新方法，通过使用种子核（即围绕种子计算出的磁场）进行去卷积来定位种子。去卷积通过正则化L1最小化求解。模拟数据集和实验数据集的结果表明，使用所提出的方法能够更精确地识别和定位种子。
