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Proceedings Paper

Targeting of deep-brain structures in nonhuman primates using MR and CT Images
Author(s): Antong Chen; Catherine Hines; Belma Dogdas; Ashleigh Bone; Kenneth Lodge; Stacey O’Malley; Brett Connolly; Christopher T. Winkelmann; Ansuman Bagchi; Laura S. Lubbers; Jason M. Uslaner; Colena Johnson; John Renger; Hatim A. Zariwala
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Paper Abstract

In vivo gene delivery in central nervous systems of nonhuman primates (NHP) is an important approach for gene therapy and animal model development of human disease. To achieve a more accurate delivery of genetic probes, precise stereotactic targeting of brain structures is required. However, even with assistance from multi-modality 3D imaging techniques (e.g. MR and CT), the precision of targeting is often challenging due to difficulties in identification of deep brain structures, e.g. the striatum which consists of multiple substructures, and the nucleus basalis of meynert (NBM), which often lack clear boundaries to supporting anatomical landmarks. Here we demonstrate a 3D-image-based intracranial stereotactic approach applied toward reproducible intracranial targeting of bilateral NBM and striatum of rhesus. For the targeting we discuss the feasibility of an atlas-based automatic approach. Delineated originally on a high resolution 3D histology-MR atlas set, the NBM and the striatum could be located on the MR image of a rhesus subject through affine and nonrigid registrations. The atlas-based targeting of NBM was compared with the targeting conducted manually by an experienced neuroscientist. Based on the targeting, the trajectories and entry points for delivering the genetic probes to the targets could be established on the CT images of the subject after rigid registration. The accuracy of the targeting was assessed quantitatively by comparison between NBM locations obtained automatically and manually, and finally demonstrated qualitatively via post mortem analysis of slices that had been labelled via Evan Blue infusion and immunohistochemistry.

Paper Details

Date Published: 18 March 2015
PDF: 9 pages
Proc. SPIE 9415, Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling, 94152K (18 March 2015); doi: 10.1117/12.2081620
Show Author Affiliations
Antong Chen, Merck Research Labs. (United States)
Catherine Hines, Merck Research Labs. (United States)
Belma Dogdas, Merck Research Labs. (United States)
Ashleigh Bone, Merck Research Labs. (United States)
Kenneth Lodge, Merck Research Labs. (United States)
Stacey O’Malley, Merck Research Labs. (United States)
Brett Connolly, Merck Research Labs. (United States)
Christopher T. Winkelmann, Merck Research Labs. (United States)
Ansuman Bagchi, Merck Research Labs. (United States)
Laura S. Lubbers, Merck Research Labs. (United States)
Jason M. Uslaner, Merck Research Labs. (United States)
Colena Johnson, Merck Research Labs. (United States)
John Renger, Merck Research Labs. (United States)
Hatim A. Zariwala, Merck Research Labs. (United States)


Published in SPIE Proceedings Vol. 9415:
Medical Imaging 2015: Image-Guided Procedures, Robotic Interventions, and Modeling
Robert J. Webster; Ziv R. Yaniv, Editor(s)

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