Localization of the ultrasound probe in ultrasound elastography using 3D cameras

In Germany, more than 60,000 amputations are performed each year. The lower extremities are frequently affected, resulting in a severe restriction of mobility and making patients dependent on technical aids such as prostheses for more flexibility in everyday life. According to current standards, prosthesis fitting is performed manually via palpation (palpation) and a plaster cast of the residual limb, followed by manual fabrication of the socket, which serves as a connection to the body. Due to the highly subjective assessment, the fitting is solely dependent on the competence of the prosthetist.

In a current research project, a newly developed haptic scanning system is to be used to quantify and digitally record manual palpation by the prosthetist. For this purpose, sensor data from an ultrasound-based measurement process will be fused with precise localization data. The data acquisition will be explored using ultrasound elastography and the haptic tissue data will be measured.

In this work, the localization of the ultrasound probe will be elaborated and tested when using ultrasound elastography. This would allow accurate position determination and 3D reconstruction, thus facilitating further data processing.

Contents:

  • Independent familiarization and literature research (ultrasound elastography, 3D cameras, software interface).
  • Investigation of algorithms for spatial localization of objects using 3D cameras
  • Design and implementation of algorithms for the localization of the ultrasound probe
  • Design and implementation of tests to verify the accuracy of ultrasound probe localization

Prior Knowledge:

  • Basic interest in medical topics
  • Basic programming skills and interest in programming (especially Python and C++)
  • Responsible handling of the ultrasound system and the cameras
  • Clearly structured and independent way of working

Please apply via email with your current grade summary and your CV.

Start:
from now on

Contact:

Anna Furman

Department Maschinenbau (MB)
Lehrstuhl für Fertigungsautomatisierung und Produktionssystematik (FAPS, Prof. Franke)