Minimally Invasive Surgery and Interventional Techniques
Department of Biomechanical Engineering - Delft University of Technology
Contact
Prof.dr. Jenny Dankelman
Thermal imaging in surgical procedures - Together with Philips
31 March 2016

 

About the Project

Thermal imaging in surgical procedures:

At an inspiring interface of medical and technical world, we at Philips Research are developing technologies aimed at providing relevant clinical information for physicians and thereby, improving clinical outcomes. Thermal imaging is a modality to visualize and characterize contrast in images, which is caused by thermal tissue differences, thermal flow, or thermic changes in time.  Because of this, thermal imaging is a technology that can add an extra dimension to the current surgical procedures. You will participate in the forefront of research developing techniques to monitor tissue perfusion and tissue/organ blood flow. Potential applications will be in monitoring organ perfusion upon resection in surgical procedures. These investigation will take place both at Philips Research Eindhoven and in the Netherlands Cancer Institute in Amsterdam.

 

Your Responsibilities

Topics may address thermal imaging, image processing, artifact reduction, and image analysis, on images of in vivo on organ surface. Your responsibilities include but are not limited to review of state of the art literature, implementation of relevant algorithms and improving of a thermal imaging setup for pre-clinical applications, be part of the image acquisition in the Netherlands Cancer Institute, evaluation, and documentation of results and report in detail on your scientific and algorithmic work.

 

Your Profile

We are looking for a motivated individual for an internship or Master thesis. You are a Master level student in Engineering (Biomedical, Electrical), Technical Medicine, Physics, Mathematics or comparable with specialization in image processing.

To be successful in your internship, you

  • Have a solid signal (image) processing background

  • Have a solid and proven background/skills in programming (Python, MATLAB, C/C++, or comparable)

  • Mathematical understanding of complex applications is a prerequisite

  • Have a systematic and thorough way of working

  • Have good communication skills

  • Take responsibilities and act on these

  • Be enthusiastic, focused and have a result-driven mind-set

  • Possess good research skills

  • Certain level of hands-on experience in medical applications is a plus!

     

    Contact: Prof.dr. J. Dankelman (j.dankelman@tudelft.nl),

    Prof.dr. B.H.W. Hendriks (benno.hendriks@philips.com, b.h.w.hendriks@tudelft.nl)

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