Sensitivity analysis and automation for intraoperative implementation of the atlas-based method for brain shift correction

Ishita Chen; Amber L. Simpson; Kay Sun; Reid C. Thompson; Michael I. Miga

doi:10.1117/12.2007420

12 March 2013 Sensitivity analysis and automation for intraoperative implementation of the atlas-based method for brain shift correction

Ishita Chen, Amber L. Simpson, Kay Sun, Reid C. Thompson, Michael I. Miga

Author Affiliations +

Proceedings Volume 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling; 86710T (2013) https://doi.org/10.1117/12.2007420
Event: SPIE Medical Imaging, 2013, Lake Buena Vista (Orlando Area), Florida, United States

Abstract

The use of biomechanical models to correct the misregistration due to deformation in image guided neurosurgical systems has been a growing area of investigation. In previous work, an atlas-based inverse model was developed to account for soft-tissue deformations during image-guided surgery. Central to that methodology is a considerable amount of pre-computation and planning. The goal of this work is to evaluate techniques that could potentially reduce that burden. Distinct from previous manual techniques, an automated segmentation technique is described for the cerebrum and dural septa. The shift correction results using this automated segmentation method were compared to those using the manual methods. In addition, the extent and distribution of the surgical parameters associated with the deformation atlas were investigated by a sensitivity analysis using simulation experiments and clinical data. The shift correction results did not change significantly using the automated method (correction of 73±13% ) as compared to the semi-automated method from previous work (correction of 76±13%). The results of the sensitivity analysis show that the atlas could be constructed by coarser sampling (six fold reduction) without substantial degradation in the shift reconstruction, a decrease in preoperative computational time from 13.1±3.5 hours to 2.2±0.6 hours. The automated segmentation technique and the findings of the sensitivity study have significant impact on the reduction of pre-operative computational time, improving the utility of the atlas-based method. The work in this paper suggests that the atlas-based technique can become a ‘time of surgery’ setup procedure rather than a pre-operative computing strategy.

Citation Download Citation

Ishita Chen, Amber L. Simpson, Kay Sun, Reid C. Thompson, and Michael I. Miga "Sensitivity analysis and automation for intraoperative implementation of the atlas-based method for brain shift correction", Proc. SPIE 8671, Medical Imaging 2013: Image-Guided Procedures, Robotic Interventions, and Modeling, 86710T (12 March 2013); https://doi.org/10.1117/12.2007420

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