Ray-casting-based evaluation framework for needle insertion force feedback algorithms

4Citations
Citations of this article
3Readers
Mendeley users who have this article in their library.
Get full text

Abstract

Segmentation of patient data often is a mandatory step for surgical simulations featuring haptic rendering. To alleviate the burden of manual segmentation we chose direct haptic volume rendering based on CT gray values and partially segmented patient data. In this study, the fields of application are lumbar puncture and spinal anesthesia. We focus on a new evaluation method driven by ray-casting to define paths from the skin to the spinal canal. In a comparison of our reference system AcusVR to a newer algorithm, force outputs are found to be similar in 99% of the tested paths.

Cite

CITATION STYLE

APA

Mastmeyer, A., Hecht, T., Fortmeier, D., & Handels, H. (2013). Ray-casting-based evaluation framework for needle insertion force feedback algorithms. In Informatik aktuell (pp. 3–8). Kluwer Academic Publishers. https://doi.org/10.1007/978-3-642-36480-8_3

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free