@conference {Lund2019a, title = {Controlling virtual views in navigated breast conserving surgery}, booktitle = {SPIE Medical Imaging 2019}, year = {2019}, abstract = {

PURPOSE: Lumpectomy is the resection of a tumor in the breast while retaining as much healthy tissue as possible.
Navigated lumpectomy seeks to improve on the traditional technique by employing computer guidance to achieve the
complete excision of the cancer with optimal retention of healthy tissue. Setting up navigation in the OR relies on the
manual interactions of a trained technician to align three-dimensional virtual views to the patient{\textquoteright}s physical position
and maintain their alignment throughout surgery. This work develops automatic alignment tools to improve the
operability of navigation software for lumpectomies.
METHODS: Preset view buttons were developed to refine view setup to a single interaction. These buttons were
tested by measuring the reduction in setup time and the number of manual interactions avoided through their use. An
auto-center feature was created to ensure that three-dimensional models of anatomy and instruments were in the center
of view throughout surgery. Recorded data from 32 lumpectomy cases were replayed and the number of auto-center
view shifts was counted from the first cautery incision until the completion of the excision of cancerous tissue.
RESULTS: View setup can now be performed in a single interaction compared to an average of 13 interactions
(taking 83 seconds) when performed manually. The auto-center feature was activated an average of 33 times in the
cases studied (n=32).
CONCLUSION: The auto-center feature enhances the operability of the surgical navigation system, reducing the
number of manual interactions required by a technician during the surgery. This feature along with preset camera view
options are instrumental in the shift towards a completely surgeon-operable navigated lumpectomy system.

}, author = {Shaun Lund and Thomas Vaughan and Tamas Ungi and Andras Lasso and Mark Asselin and Caitlin Yeo and C. Jay Engel and Gabor Fichtinger} } @article {Holden2017c, title = {Reducing Cost and Complexity in Computer-Assisted Training for Lumpectomy}, year = {2017}, month = {11/2017}, address = {Kingston, Canada}, author = {M. Holden and Keri, Zsuzsanna and Tamas Ungi and Caitlin Yeo and Justine Ring and Gabor Fichtinger and Boris Zevin} }