ALIGNING VIDEO-AND STRUCTURED DATA FOR IMAGING OPTIMISATION

Author:

Ivarsson Jonas1,Almén Anja23,Falkenberg Mårten4,Lundh Charlotta56,Båth Magnus56

Affiliation:

1. Department of Applied IT, University of Göteborg, SE-412 96, Göteborg, Sweden

2. Department of Radiation Protection, Swedish Radiation Safety Authority, SE-171 16, Stockholm, Sweden

3. Medical Radiation Physics, Department of Translational Medicine (ITM), Lund University, SE-205 02, Malmö, Sweden

4. Department of Radiology, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, SE-413 45, Göteborg, Sweden

5. Department of Medical Physics and Biomedical Engineering, Sahlgrenska University Hospital, SE-413 45, Göteborg Sweden

6. Department of Radiation Physics, Institute of Clinical Sciences, Sahlgrenska Academy, University of Gothenburg, SE-413 45, Göteborg, Sweden

Abstract

Abstract Imaging optimisation can benefit from combining structured data with qualitative data in the form of audio and video recordings. Since video is complex to work with, there is a need to find a workable solution that minimises the additional time investment. The purpose of the paper is to outline a general workflow that can begin to address this issue. What is described is a data management process comprising the three steps of collection, mining and contextualisation. This process offers a way to work systematically and at a large scale without succumbing to the context loss of statistical methods. The proposed workflow effectively combines the video and structured data to enable a new level of insights in the optimisation process.

Funder

Swedish Research Council

Publisher

Oxford University Press (OUP)

Subject

Public Health, Environmental and Occupational Health,Radiology, Nuclear Medicine and imaging,General Medicine,Radiation,Radiological and Ultrasound Technology

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