BenoitDiotte

Chair for Computer Aided Medical Procedures & Augmented Reality
Lehrstuhl für Informatikanwendungen in der Medizin & Augmented Reality

Benoit Diotte (M. Sc. Computer Science TUM)
Email bdiott@gmx.de
Phone +49 176 21302082
Groups Surgical Workflow, Computer-Aided Surgery, Computer Vision, Medical Augmented Reality
Former Position Research Assistant / TUM CAMP Narvis Lab / Computer Assisted Surgery
Current Position Software Developer / BMW Car IT GmbH (ULM) / Driving Assistance Systems

News

(03.2013) Into BMW's Computer Assisted Driving...

(10.2012) Podium Oral Presentation held at MICCAI 2012: Watch online...

Projects

Master Thesis: Radiation-Free Drill Guidance for the Interlocking of Intramedullary Nails using a Video-Augmented-Fluoroscopic Device. (2012)

The interlocking of intramedullary nails is a technically demanding procedure which involves an excessive amount of X-ray acquisitions; one study lists as many as 48 to successfully complete the procedure and fix screws into 5 mm holes in the nail. In this work, a novel low cost radiation-free drilling guide is designed to assist surgeons in completing the distal locking procedure without any X-ray acquisitions. Using an augmented reality fluoroscope that coregisters optical and X-ray images, we exploit solely the optical images to detect the drilling guide in order to estimate the tip position in the real-time in X-ray. To evaluate the accuracy of the tip estimation, we tested over 200 random drill guide poses showing a mean tip-estimation error of 1.72 +/- 0.7 mm which is significantly robust for the interlocking. Also, three expert surgeons participated in a preclinical study on dry bone phantom and successfully completed the distal locking 56 out of 60 trials with no X-ray acquisition for guidance and an average time of 2 minutes. These promising results have shown the robustness and accuracy of our method thereby offering a low cost and efficient solution in decreasing the complexity of interlocking of intramedullary nails procedure.

Supervision: Pascal Fallavollita, Lejing Wang, Nassir Navab

3

Watch the talk given at MICCAI 2012 online ...

Thesis(soon available)

Subproject: CamC - Camera Augmented Mobile C-arm Simulation

A first draft of a CamC simulation based on blender's game engine.
Digitally reconstructed radiographs (DRR) are produced over calls to our C++ DRR generation component over the blender python API.
The user moves the C-Arm over the keyboard to a desire pose and takes radiographs. Those radiographs are overlaid over the video stream shown on screen.

See chair's project page at CamC - Camera Augmented Mobile C-arm.

IDP: Markerless Motion Capture in the Operating Room. (2011)

Goal of this IDP was to extend the patch-based surface tracking algorithm to a skeleton based solution. Such a solution could be used to track surgeons in an operating room and enhance human-machine interaction paradigms in this context. We implemented a model-based motion capture algorithm based on 3D point cloud data. An Expectation-Maximisation algorithm computes the point cloud/body parts assignment and the pose estimation is based on an inverse kinematic framework.

Supervision: Cédric Cagniart

Results

Report

Technical Report: IDP Project Markerless Motion Capture in the Operating Room.

HIWI: 3D Reconstruction Multi-Camera Studio. (2010)

I supported documentation and follow-up works on the Real-Time 3D Reconstruction Studio of the chair, as well as the implementation of the skeleton based motion capture component.

Publications

2015
R. Londei, M. Esposito, B. Diotte, S. Weidert, E. Euler, P. Thaller, N. Navab, P. Fallavollita
Intra-operative augmented reality in distal locking
The International Journal for Computer Assisted Radiology and Surgery (IJCARS) (bib)
2014
O. Pauly, B. Diotte, P. Fallavollita, S. Weidert, E. Euler, N. Navab
Machine Learning-based Augmented Reality for Improved Surgical Scene Understanding.
Computerized Medical Imaging and Graphics (bib)
O. Pauly, B. Diotte, S. Habert, S. Weidert, E. Euler, P. Fallavollita, N. Navab
Visualization inside the operating room: 'Learning' what the surgeon wants to see
The 5th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI) (bib)
R. Londei, M. Esposito, B. Diotte, S. Weidert, E. Euler, P. Thaller, N. Navab, P. Fallavollita
The Augmented Circles: A Video-Guided Solution for the Down-the-Beam Positioning of IM Nail Holes
The 5th International Conference on Information Processing in Computer-Assisted Interventions (IPCAI) (bib)
B. Diotte, P. Fallavollita, L. Wang, S. Weidert, E. Euler, P. Thaller, N. Navab
Multi-modal intra-operative navigation during distal locking of intramedullary nails
IEEE Transactions on Medical Imaging (bib)
2013
P. Thaller, B. Diotte, P. Fallavollita, L. Wang, S. Weidert, E. Euler, W. Mutschler, N. Navab
Video-assisted interlocking of intramedullary nails
Injury, 2013 (bib)
P. Thaller, B. Diotte, P. Fallavollita, L. Wang, S. Weidert, W. Mutschler, N. Navab, E. Euler
Video-navigated targeting unit for interlocking of intramedullary nails – experimental study on a new technique.
Kongress der Gesellschaft für Extremitätenverlängerung und Rekonstruktion, 2013 (bib)
2012
B. Diotte, P. Fallavollita, L. Wang, S. Weidert, P. Thaller, E. Euler, N. Navab
Radiation-free drill guidance in interlocking of intramedullary nails
Proceedings of the 15th International Conference on Medical Image Computing and Computer Assisted Interventions (MICCAI), Nice, France, October 2012 (bib)
2011
B. Diotte, C. Cagniart, S. Ilic
Markerless Motion Capture in the Operating Room.
Technical Report, Technische Universität München, München, Germany, Mai 2011 (bib)

Master Courses

  • Computer Graphics and Image Understanding
    • IN2018 Augmented Reality
    • IN2017 Computer Graphics
    • IN2021 Computer-Aided Medical Procedures I
    • IN2022 Computer-Aided Medical Procedures II
    • IN2015 Images Synthesis
  • Artificial Intelligence and Robotics
    • IN2057 3D Computer Vision
    • IN2123 3D Computer Vision II
    • IN2124 Tracking and Detection in Computer Vision
  • Formal Methods and their Applications
    • IN2041 Automata and Formal Languages
  • Soft Skills
    • IN9007 SET Tutor
    • WI2004 Technology, Economy, Society
    • IN9003 Intellectual Property
  • Graduate Lab Courses
    • IN2106/IN8904 Computational Photography
    • IN2106 Medical Augmented Reality
  • Master Seminar
    • IN2107 Machine Learning Methods for Computer Vision Applications
  • Additional
    • EI7223 Information Retrieval in High Dimensional Data
    • IN2016 Image Understanding
    • IN2126 Software Engineering I
    • IN2012 Parallel Numerics
    • IN2088 Software Architectures

Preferred Tools and Languages

Languages Frameworks and Libraries Tools
C/C++ OpenGL Eclipse CDT/JDT
Python OpenCV CMake/Ant
CUDA Qt/QGLviewer Blender
LaTeX2e JavaCC/Lex/Yacc GIT/Subversion
Matlab Tomcat/Spring/ZK Visual Studio
JAVA OpenNI JIRA/Jenkins



UsersForm
Title: Master
Firstname: Benoit
Middlename:  
Lastname: Diotte
Picture: portrait_casual.jpg
Birthday:  
Nationality: Canada
Languages: English, German, French
Groups: Surgical Workflow, Computer-Aided Surgery, Computer Vision, Medical Augmented Reality
Expertise: Surgical Workflow, Computer-Aided Surgery, Computer Vision, Medical Augmented Reality
Position: External Collaborator
Status: Active
Emailbefore: bdiott
Emailafter: gmx.de
Room: NARVIS Lab
Telephone: +49 176 21302082
Alumniactivity:  
Defensedate: 1 June 2012
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