Freehand 3D-US reconstruction with robust visual tracking with application to ultrasound-augmented laparoscopy
| Autor: | Elvis C. S. Chen, Uditha L. Jayarathne, Terry M. Peters, John Moore |
|---|---|
| Rok vydání: | 2016 |
| Předmět: |
Computer science
Stereoscopy 02 engineering and technology Tracking (particle physics) In-situ Visualization 050105 experimental psychology Imaging phantom law.invention Image-based Pose Track-ing Laparoscopic Surgery law 0202 electrical engineering electronic engineering information engineering medicine 0501 psychology and cognitive sciences 3D ultrasound Computer vision Robot-assisted Surgery medicine.diagnostic_test Freehand 3D Ultrasound business.industry 05 social sciences Ultrasound Eye tracking Robot-Assisted Laparoscopic Surgery 020201 artificial intelligence & image processing Artificial intelligence business |
| Zdroj: | Medical Imaging: Image-Guided Procedures Medical Biophysics Publications |
| ISSN: | 0277-786X |
| Popis: | © 2016 SPIE. Three dimensional reconstruction of ultrasound volumes from tracked 2D images is a cost effective intraoperative 3D imaging strategy. The reconstructed volumes can be visualized in-situ if the probe is tracked with respect to the laparoscopic camera during laparoscopic thoraco-abdominal interventions. To this end, efficient, image-based intrinsic pose tracking methods are preferred over well-established extrinsic tracking methods primarily due to cost effectiveness and reduced work-flow overheads. However, the potential of these intrinsic tracking methods as means of tracking in freehand 3D ultrasound reconstruction has not been investigated to-date. In this paper, we demonstrate that a recently proposed image-based, robust pose tracking method can be used to achieve high quality reconstructions. By imaging a tissue-mimicking phantom with structures resembling anatomical targets, we demonstrate that the 3D US volumes resulted from this method are geometrically accurate. Both qualitative and quantitative results of the experiments are presented. |
| Databáze: | OpenAIRE |
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