Intraoperative Sensoranalyse und Registrierung
Inhalt
For surgeons, minimally-invasive surgeries are a complex medical procedure. Context-aware assistance systems aim to alleviate some of the difficulties the surgeon faces e.g. providing assistance during navigation or provide the surgeon with live measurements. To provide the surgeon with correct navigation information, the pre-operative model has to be registered to an intra-operative model of the patient anatomy. We have developed methods for building such a model from laparoscopic images. In real-time, we construct a 3D surface model from images captured from a stereo-endoscope. This model captures soft-tissue deformation and can then be used for biomechanical modelling.
To ensure that the right information is provided at the right time, the current phase of the intervention has to be known. Here, we focus on locating and classifying the surgical tools currently in use since they are both key components of both an activity-based phase recognition and assistance generation. Furthmore, we are developing methods for segmenting other objects (organs, clips, nets, needles, instruments, ...) in the laparoscopic video. This information can then be fused with surgical device information (e.g. provided from the OR1 from Karl Storz) and then used for context-aware assistance.
During laparoscopy, the surgeon loses his depth perception, since he is limited to the view provided by a conventional monitor. Multiple types of interventions, such as the Roux-En-Y Bypass, require the surgeon to estimate distances. To generate a quantitative assistance function, we combined our 3D surface model with the detected instruments, which allows us to measure distances along the surface of an organ, for example the bowel.
Kombi: Kontakt | Kombi: Name - Tätigkeit | group | phone |
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sebastian bodenstedt ∂does-not-exist.nct-dresden de |
Bodenstedt, Sebastian Wissenschaftlicher Mitarbeiter |
Medizininformatik |
Author | Title | Year | Journal/Proceedings |
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Sudra, G., Becker, A., Speidel, S., al Makadsi, G., Müller-Stich, B.P. & Dillmann, R. | Modellierung des Operationsablaufs für ein situationsbezogenes Assistenzsystem der Erweiterten Realität [BibTeX] | 2007 | Proc. Computer- und Roboterassistierte Chirurgie (CURAC) |
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Suwelack, S., Heitz, E., Unterhinninghofen, R. & Dillmann, R. | Adaptive GPU Ray Casting Based on Spectral Analysis [BibTeX] | 2010 | Proc. Medical Imaging and Augmented Reality (MIAR), pp. 169-178 |
Suwelack, S., Katic, D., Wagner, S., Spengler, P., Bodenstedt, S., Röhl, S., Dillmann, R. & Speidel, S. | Lightweight distributed computing for intraoperative real-time image guidance [BibTeX] | 2012 | Proc. SPIE Medical Imaging |
Suwelack, S., Maier, S., Unterhinninghofen, R. & Dillmann, R. | Web-Based Volume Rendering [BibTeX] | 2011 | Proc. Medicine Meets Virtual Reality (MMVR) |
Suwelack, S., Roehl, S., Dillmann, R., Wekerle, A., Kenngott, H., Müller-Stich, B., Alt, C. & Speidel, S. | Quadratic Corotated Finite Elements for Real-Time Soft Tissue Registration [BibTeX] | 2011 | MICCAI workshop: Computational Biomechanics for Medicine |
Suwelack, S., Speidel, S., Roehl, S. & Dillmann, R. | Towards finite element-based soft tissue modelling for real-time image registration [BibTeX] | 2010 | Proc. Computer Assisted Radiology and Surgery (CARS) |
Suwelack, S., Talbot, H., Röhl, S., Dillmann, R. & Speidel, S. | A biomechanical liver model for intraoperative soft tissue registration [BibTeX] | 2011 | Proc. SPIE Medical Imaging |
Unterhinninghofen, R., Albers, J., Hosch, W. & und R. Dillmann, C.V. | Flow Quantification from time-resolved MRI vector fields [BibTeX] | 2005 | Proc. Computer Assisted Radiology and Surgery (CARS) |
Unterhinninghofen, R., Ley, S., Frydrychowicz, A. & Markl, M. | MRT-basierte tridirektionale Flussbildgebung [BibTeX] | 2007 | Der Radiologe Vol. 47(11), pp. 1012-1020 |
Unterhinninghofen, R., Ley, S., Ley-Zaporozhan, J., von H. Tengg-Kobligk, Bock, M., Kauczor, H.-U., Szabó, G. & Dillmann, R. | Concepts for Visualization of Multidirectional Phase-contrast MRI of the Heart and Large Thoracic Vessels [BibTeX] | 2008 | Academic Radiology Vol. 15(3), pp. 361-369 |
Unterhinninghofen, R., Ley, S., Ley-Zaporozhan, J., Szabó, G., Kauczor, H.-U. & Dillmann, R. | Segmentation of large vessels based on PC-MRI velocity vector fields [BibTeX] | 2007 | Proceedings SURGETICA |
Unterhinninghofen, R., Ley, S., Zaporozhan, J., Szabó, G. & Dillmann, Rü. | A versatile tool for flow analysis in 3D-phase-contrast magnetic resonance imaging [BibTeX] | 2006 | International Journal on CARS Vol. Suppl. 1, pp. 111-113 |
Unterhinninghofen, R., Stehle, T., Albers, J., Hosch, W., Vahl, C. & Dillmann, R. | Analysis of left-ventricular pathological flow via phase-contrast magnetic resonance imaging [BibTeX] | 2004 | Proc.Computer Assisted Radiology and Surgery (CARS), Chicago, USA |
Unterhinninghofen, R., und W. Hosch, J.A. & und R. Dillmann, C.V. | Multidimensional interactive colour-coding in velocity encoded magnetic resonance images of mitral insufficiency [BibTeX] | 2005 | Proc. SURGETICA |
Weingärtner, T., Haßfeld, S. & Dillmann, R. | A 3D Simulation of the Mastication System for Maxillofacial Surgery [BibTeX] | 1997 | In Proc. Of the Medtec |
Weingärtner, T., Haßfeld, S. & Dillmann, R. | A Kinematic Model of the Temoromandibular Joint for Maxillofacial Surgery [BibTeX] | 1997 | In Proc. Of the MRCAS'97 |
Wekerle, A., Katic, D., Kenngott, H., S.Speidel & Mueller-Stich, B. | Konstruktion einer Wissensbasis für die minimal invasive Pankreaschirurgie [BibTeX] | 2011 | CURAC |
Wächter, I., Seifert, S. & Dillmann, R. | Automatic Segmentation of Cervical Soft Tissue from MR Images [BibTeX] | 2005 | Proc. SURGETICA |