Neurosurgical procedures under near real-time MR guidance

Haiying Liu, Chip Truwit

Research output: Contribution to journalConference articlepeer-review

1 Scopus citations


A robust near real-time magnetic resonance imaging (MRI) based guidance scheme has been developed, validated and used for in vivo neurosurgical applications. The key concept of the method is to use tomographical imaging techniques, such as MRI, to facilitate the alignment process of a trajectory guidance device for biopsy needle. Since the trajectory corresponding to the biopsy needle pivoted at an entry point on patient skull has two orientational degrees of freedom, the alignment of the needle can be tracked using a 2-dimensional (2D) imaging plane that is placed perpendicular to the desired trajectory. Using a near real-time visual feedback in 2D during the adjustment of the alignment guide, the required trajectory alignment can be translated into a simple targeting task on computer monitor. This MR based guidance technique has practically allowed neurosurgeons to accomplish the required alignment of a surgical device to an arbitrary target accurately in a straight forward procedure on conventional MR scanner. The actual MR-guided biopsy using the new methodology has shown that it has the required targeting accuracy for neurosurgery even in the presence of brain shift. The use of the method in 20 MR-guided brain lesion biopsy procedures can significantly reduce the surgery time, in fact the time required for the needle trajectory alignment is less than 1 min. Furthermore, the post-alignment trajectory can be validated immediately using near real-time MRI scans in two orthogonal views before the needle insertion. In conclusion, this scheme provides a unique alternative of trajectory guidance and monitoring methodology that can take full advantages of the capabilities of modern imaging techniques such as MRI.

Original languageEnglish (US)
Pages (from-to)49-57
Number of pages9
JournalProceedings of SPIE - The International Society for Optical Engineering
StatePublished - 2000
EventParallel and Distributed Methods for Image Processing IV - San Diego, USA
Duration: Jul 30 2000Jul 30 2000

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