Close-bore Prostate Robot
Objective
This work explores an image-based approach for localizing needles during MRI-guided interventions, for the purpose of tracking and navigation.
Recent Updates
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.
Publications
- DiMaio S, Kacher D, Ellis R, Fichtinger G, Hata N, Zientara G, Panych L, Kikinis R, Jolesz F. Needle artifact localization in 3T MR images. Stud Health Technol Inform. 2006;119:120-5
- S. P. DiMaio, G. S. Fischer, S. J. Haker, N. Hata, I. Iordachita, C. M. Tempany, R. Kikinis, G. Fichtinger: “A system for MRI-guided Prostate Interventions.” Proceedings of IEEE / RAS-EMBS International Conference on Biomedical Robotics and Biomechatronics, February 20-22, 2006 Page(s):68 – 73.
- G. S. Fischer, I. Iordachita, S. P. Dimaio, G. Fichtinger: “Design of a Robot for Transperineal Prostate Needle Placement in MRI Scanner.” IEEE International Conference on Mechatronics, July 2006: Page(s):592 – 597.
- Gregory S. Fischer, Simon P. DiMaio, Iulian Iordachita, and Gabor Fichtinger: “Robotic Assistant for MR-Guided Prostate Biopsy.” 7th Interventional MRI Symposium, Leipzig, Germany, 2006.
People
- Jack Blevins, Burdette Medical Inc.
- Clif Burdette, Burdette Medical Inc.
- Csaba Csoma, Johns Hopkins University
- Gabor Fichtinger, Johns Hopkins University/Queens University
- Greg Fischer, Johns Hopkins University
- David Gobbi, Queens University
- Iulian Iordachita, Johns Hopkins University