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Thesis or Internship: Data repository for 3D Ultrasound Computer Tomography signal and image data

Thesis or Internship: Data repository for 3D Ultrasound Computer Tomography signal and image data
job offer: links:
job posting number:

IPE  07-17

institute:

Institute for Data Processing and Electronics

starting date:

On appointment

closing date:

December 12, 2017

Data repository for 3D Ultrasound Computer Tomography signal and image data

Foto 1 IPE 07-17
Foto 2 IPE 07-17
Background
The KIT Data Manager (http://datamanager.kit.edu/index.php/kit-data-manager), which was developed at our institute, is a software development for the efficient management of large scale data. It is a software architecture for building up repositories for research data. The generic service stack provides enough flexibility to support various scientific communities and use cases in a modular and extensible way. It covers the complete data lifecycle. 3D Ultrasound Computer Tomography for early breast cancer detection is a new imaging modality which is currently being developed at KIT. The acquired raw data sets are in the range of 40 to 80 GB per imaged breast and consist of millions of signals with corresponding meta data. Until now a file-based data management is used which makes using, retrieving and archiving the data a challenging task, especially as currently a lot of patients are imaged in a clinical study.


Aim
The aim of this work is to apply the concept of the KIT Data Manager to build up a data repository for the experimental data of our 3D USCT project. This requires the basic setup of an infrastructure as well as the analysis of the experiment data and meta data.


Task description (topics will be adapted to available time frame)
 • Introduction to the topic by the KIT Data Manager documentation and setting up an exemplary repository.
 • Requirements analysis for the 3D USCT project • Setup of the 3D USCT data repository and related infrastructure for the management of experiment data.
 • Development of methods for automated meta data extraction from the 3D USCT experiment data.
 • Development of automated ingest and retrieval methods, e.g. interfaces to load the data from the repository to MATLAB for image reconstruction.

Qualifications
 • Preferably basic knowledge about data management and image processing
. • Programming knowledge required, predominantly in JAVA and MATLAB.

Contact
Torsten Hopp,  torsten hoppBfq2∂kit edu