18 March 2016 Automatic pose correction for image-guided nonhuman primate brain surgery planning
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Abstract
Intracranial delivery of recombinant DNA and neurochemical analysis in nonhuman primate (NHP) requires precise targeting of various brain structures via imaging derived coordinates in stereotactic surgeries. To attain targeting precision, the surgical planning needs to be done on preoperative three dimensional (3D) CT and/or MR images, in which the animals head is fixed in a pose identical to the pose during the stereotactic surgery. The matching of the image to the pose in the stereotactic frame can be done manually by detecting key anatomical landmarks on the 3D MR and CT images such as ear canal and ear bar zero position. This is not only time intensive but also prone to error due to the varying initial poses in the images which affects both the landmark detection and rotation estimation. We have introduced a fast, reproducible, and semi-automatic method to detect the stereotactic coordinate system in the image and correct the pose. The method begins with a rigid registration of the subject images to an atlas and proceeds to detect the anatomical landmarks through a sequence of optimization, deformable and multimodal registration algorithms. The results showed similar precision (maximum difference of 1.71 in average in-plane rotation) to a manual pose correction.
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Soheil Ghafurian, Soheil Ghafurian, Antong Chen, Antong Chen, Catherine Hines, Catherine Hines, Belma Dogdas, Belma Dogdas, Ashleigh Bone, Ashleigh Bone, Kenneth Lodge, Kenneth Lodge, Stacey O'Malley, Stacey O'Malley, Christopher T. Winkelmann, Christopher T. Winkelmann, Ansuman Bagchi, Ansuman Bagchi, Laura S. Lubbers, Laura S. Lubbers, Jason M. Uslaner, Jason M. Uslaner, Colena Johnson, Colena Johnson, John Renger, John Renger, Hatim A. Zariwala, Hatim A. Zariwala, "Automatic pose correction for image-guided nonhuman primate brain surgery planning", Proc. SPIE 9786, Medical Imaging 2016: Image-Guided Procedures, Robotic Interventions, and Modeling, 97860O (18 March 2016); doi: 10.1117/12.2217534; https://doi.org/10.1117/12.2217534
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