Name
Abstract | ||
|---|---|---|
The usage of video endoscopes in cystoscopic interventions of the urinary bladder impedes an intuitive navigation. Although image-based solutions such as panorama images can provide extended views of the surgical field, a real-time 3-D navigation is not supported. Furthermore, the integration of common tracking systems in ambulant clinics is often hindered due to low usability and high costs. Thus, we discuss in this paper a first low-cost inertial navigation system. Our evaluation results show that in spite of lower sensor accuracies, mean errors between < 1 degrees and 4 degrees are achieved for solid angles. Using endoscopes with different view angles we apply an extended endoscope model for an adaptive displacement correction. Furthermore, we implement a first guided navigation tool for tumor re-identification in real-time. |
Year | DOI | Venue |
|---|---|---|
2011 | 10.1109/IEMBS.2011.6091330 | 2011 ANNUAL INTERNATIONAL CONFERENCE OF THE IEEE ENGINEERING IN MEDICINE AND BIOLOGY SOCIETY (EMBC) |
Keywords | Field | DocType |
tracking system,navigation,accuracy,inertial navigation system,sensors,inertial navigation,mean error,gyroscopes,real time | Inertial navigation system,Endoscope,Computer vision,Gyroscope,Computer science,Panorama,Usability,Endoscopy,Tracking system,Artificial intelligence | Conference |
Volume | ISSN | Citations |
2011 | 1557-170X | 3 |
PageRank | References | Authors |
0.45 | 3 | 4 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| A. Behrens | 1 | 10 | 1.34 |
| Grimm Jonathan | 2 | 6 | 0.86 |
| Sebastian Gross | 3 | 131 | 14.59 |
| Aach Til | 4 | 3 | 0.45 |