| [92943] |
| Title: Force Estimation from OCT Volumes using 3D CNNs. |
| Written by: N. Gessert and J. Beringhoff and C. Otte and A. Schlaefer |
| in: <em>Int J Comput Assist Radiol Surg</em>. July (2018). |
| Volume: <strong>13</strong>. Number: (7), |
| on pages: 1073–1082 |
| Chapter: |
| Editor: |
| Publisher: |
| Series: |
| Address: |
| Edition: |
| ISBN: |
| how published: |
| Organization: |
| School: |
| Institution: |
| Type: |
| DOI: 10.1007%2Fs11548-018-1777-8 |
| URL: https://arxiv.org/abs/1804.10002 |
| ARXIVID: |
| PMID: |
Note:
Abstract: Estimating the interaction forces of instruments and tissue is of interest, particularly to provide haptic feedback during robot-assisted minimally invasive interventions. Different approaches based on external and integrated force sensors have been proposed. These are hampered by friction, sensor size, and sterilizability. We investigate a novel approach to estimate the force vector directly from optical coherence tomography image volumes