DiMaio S P, Kacher D F, Ellis R E, Fichtinger G, Hata N, Zientara G P, Panych L P, Kikinis R, Jolesz F A
Brigham and Women's Hospital, Harvard Medical School, Boston 02115, USA.
Stud Health Technol Inform. 2006;119:120-5.
This work explores an image-based approach for localizing needles during MRI-guided interventions, for the purpose of tracking and navigation. Susceptibility artifacts for several needles of varying thickness were imaged, in phantoms, using a 3 tesla MRI system, under a variety of conditions. The relationship between the true needle positions and the locations of artifacts within the images, determined both by manual and automatic segmentation methods, have been quantified and are presented here.
这项工作探索了一种基于图像的方法，用于在MRI引导的介入过程中定位针，以进行跟踪和导航。使用3特斯拉MRI系统，在各种条件下，对不同厚度的几根针在体模中的磁敏感伪影进行成像。通过手动和自动分割方法确定的真实针位置与图像中伪影位置之间的关系已经被量化并在此呈现。
