Exploratory visualization of surgical training databases for improving skill acquisition

David Schroeder; Timothy M Kowalewski; Lee White; John V Carlis; Erlan Santos; Rob Sweet; Thomas S. Lendvay; Daniel F Keefe; Troy Reihsen

doi:10.1109/MCG.2012.67

Exploratory visualization of surgical training databases for improving skill acquisition

David Schroeder, Timothy M Kowalewski, Lee White, John V Carlis, Erlan Santos, Rob Sweet, Thomas S. Lendvay, Daniel F Keefe, Troy Reihsen

Research output: Contribution to journal › Article › peer-review

5 Scopus citations

Abstract

A new visualization system analyzes multidimensional surgical performance databases of information collected via emerging surgical robot and simulator technologies. In particular, it has visualized force, position, rotation, and synchronized video data from 300 bimanual laparoscopic surgery tasks performed by more than 50 surgeons. To explore data, the system uses a multiple-coordinated-views framework. It provides techniques to select and filter multivariate time series data, visualize animated force plots in conjunction with contextual videos, encode multivariate bimanual tool trace data in 3D visualizations, and link visualizations to a database management system via a new generalizable data model. Insights and feedback from an interdisciplinary iterative design process and use case studies support the utility of visualization in this emerging area of data-driven surgical training.

Original language	English (US)
Article number	6212421
Pages (from-to)	71-81
Number of pages	11
Journal	IEEE Computer Graphics and Applications
Volume	32
Issue number	6
DOIs	https://doi.org/10.1109/MCG.2012.67
State	Published - 2012

Bibliographical note

Funding Information:
The University of Minnesota Digital Technology Center’s Digital Technologies Initiative and Washington Technology Center Research Technology Development grant RTD11 UW SB01 supported this research.

Keywords

computer graphics
laparoscopic surgery
surgical performance
visualization

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

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title = "Exploratory visualization of surgical training databases for improving skill acquisition",

abstract = "A new visualization system analyzes multidimensional surgical performance databases of information collected via emerging surgical robot and simulator technologies. In particular, it has visualized force, position, rotation, and synchronized video data from 300 bimanual laparoscopic surgery tasks performed by more than 50 surgeons. To explore data, the system uses a multiple-coordinated-views framework. It provides techniques to select and filter multivariate time series data, visualize animated force plots in conjunction with contextual videos, encode multivariate bimanual tool trace data in 3D visualizations, and link visualizations to a database management system via a new generalizable data model. Insights and feedback from an interdisciplinary iterative design process and use case studies support the utility of visualization in this emerging area of data-driven surgical training.",

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note = "Funding Information: The University of Minnesota Digital Technology Center{\textquoteright}s Digital Technologies Initiative and Washington Technology Center Research Technology Development grant RTD11 UW SB01 supported this research.",

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AU - Carlis, John V

AU - Santos, Erlan

AU - Sweet, Rob

AU - Lendvay, Thomas S.

AU - Keefe, Daniel F

AU - Reihsen, Troy

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Exploratory visualization of surgical training databases for improving skill acquisition

Abstract

Bibliographical note

Keywords

UN SDGs

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