MaDoseGrenoble

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

Master Internship in Grenoble, France: A hybrid method to compute the 3D dose in tissue samples during micro-CT image acquisition

Master internship at INSA-Lyon in the framework of a collaboration between ESRF biomedical beamline and Munich centre for advanced photonics (MAP) and INSA/CNDRI (laboratory of nondestructive testing using ionizing radiation)

  • Title: A hybrid method to compute the 3D dose in tissue samples during micro-CT image acquisition
  • Supervision: P. Coan, A. Bravin, C. Ferrero, Jean-Michel Letang, Nicolas Freud

Master project aim
The aim of the project is to develop a software platform to compute the 3D distribution of dose deposited in tissue samples during micro-CT image acquisition performed with monochromatic synchrotron radiation. The dose can be divided into two components: the primary dose deposited directly by the incident X-ray beam and the secondary dose deposited by scattered and fluorescence X-rays. Previous work carried out in the context of synchrotron stereotactic radiation therapy has shown that a deterministic algorithm can be used to compute the primary dose map [1], whereas a hybrid approach (combination of Monte Carlo and deterministic calculations) is well suited to the calculation of the secondary dose [1,2]. The aim of the master internship is to adapt this method to assess dose deposition inevitable (but optimizable) in CT image acquisition. Special care will be taken to relate optimal hybrid parameters to the geometrical/physical CT set-up. The software development will be carried out in the framework of the Geant4/GATE Monte Carlo code. The final goal is to obtain a tool which can permit to calculate doses in biological samples, but that also can be used to simulate the experiment and optimize the experimental procedure.

Expected skills for a successful candidate

  • Programming skills (C++)
  • Physics (radiation-matter interactions)
  • Statistics
  • Communication skills

Master organization
Practical master duration: 6 months The Master work will be carried out in a collaborative framework between the ESRF (Grenoble) - the MAP project (Munich) and the INSA/CNDRI laboratory (Lyon). The student will therefore be co-supervised by the two institutes and will spend most of his time in Lyon with frequent interactions with ESRF/MAP scientists and visits to the ESRF for outlining the Master work and presenting/discussing the results. During the Master, the student could also participate to the experimental activities performed at the ESRF for CT imaging acquisitions with synchrotron radiation in the framework of the MAP project research.

Contact
Please contact Dr. Martin Groher if you are interested.

References
1. N Freud, J M Létang, C Mary, C Boudou, C Ferrero, H Elleaume, A Bravin, F Estève, and D Babot “A Hybrid Approach for Fast Simulation of Dose Deposition in Stereotactic Synchrotron Radiotherapy” IEEE TRANSACTIONS ON NUCLEAR SCIENCE, VOL. 55, NO. 3, JUNE 2008
2. Smekens F, Freud N, Létang JM, Adam JF, Ferrero C, Elleaume H, Bravin A, Estève F, Babot D. “Simulation of dose deposition in stereotactic synchrotron radiation therapy: a fast approach combining Monte Carlo and deterministic algorithms.” Phys Med Biol. 2009 Aug 7;54(15):4671-85.

ProjectForm
Title: A hybrid method to compute the 3D dose in tissue samples during micro-CT image acquisition
Abstract: The aim of the project is to develop a software platform to compute the 3D distribution of dose deposited in tissue samples during micro-CT image acquisition performed with monochromatic synchrotron radiation. The dose can be divided into two components: the primary dose deposited directly by the incident X-ray beam and the secondary dose deposited by scattered and fluorescence X-rays. Previous work carried out in the context of synchrotron stereotactic radiation therapy has shown that a deterministic algorithm can be used to compute the primary dose map [1], whereas a hybrid approach (combination of Monte Carlo and deterministic calculations) is well suited to the calculation of the secondary dose [1,2]. The aim of the master internship is to adapt this method to assess dose deposition inevitable (but optimizable) in CT image acquisition. Special care will be taken to relate optimal hybrid parameters to the geometrical/physical CT set-up. The software development will be carried out in the framework of the Geant4/GATE Monte Carlo code. The final goal is to obtain a tool which can permit to calculate doses in biological samples, but that also can be used to simulate the experiment and optimize the experimental procedure.
Student:  
Director: Nassir Navab
Supervisor: P. Coan, A. Bravin, C. Ferrero, Jean-Michel Letang, Nicolas Freud
Type: DA/MA/BA
Area:  
Status: open
Start:  
Finish:  


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