- Oral presentation
- Open Access
Treatment analysis environment for review of MRgHIFU treatments: a multi-parametric analysis tool
© van Stralen et al; licensee BioMed Central Ltd. 2015
Published: 30 June 2015
Magnetic resonance imaging (MRI) provides a wide spectrum of imaging contrasts, which have utility for preparation and evaluation of HIFU treatments, as well as for guiding HIFU energy delivery (MRgHIFU). Currently, research into the prospective value of these imaging markers and their ability to predict and probe treatment success is challenged by the lack of an analysis environment that is able to process the spectrum of imaging and treatment data as a whole, and allows assessing correlation between data sets. As an example, we may want to relate the placement and temperature evolution of sonication cells with the resulting non-perfused volume, assessed by MRI perfusion imaging. An important factor in this issue is that treatment data is poorly accessible to researchers. E.g. for the Philips Sonalleve platform, treatment data is almost exclusively available in log files and thermometry images are exported in a proprietary format (Par/Rec). We propose an analysis environment for clinical and basic imaging research in the context of MRgHIFU treatments.
It will be made available to the research community to i) accelerate developments in the field, ii) enable effective use of advanced imaging in MRgHIFU research and iii) stimulate collaboration between centers.
We set up a modular framework for the analysis of MRgHIFU treatments. Tools to access treatment and imaging data were implemented, including DICOM image data and segmentations, treatment data such as treatment cell geometry and parameters, and importantly, intra-operative thermometry data. Next, image registration of these data was implemented and analysis tools were developed that enable correlation of treatment data with imaging parameters based on the targeted treatment geometries. These analysis tools were built, based on the MeVisLab medical imaging development environment (MeVis Medical Solutions, Bremen, Germany), allowing easy distribution among research sites. We demonstrate its functionality and value in clinical and basic science in the analysis of uterine fibroid treatments.
Results and conclusions
This work was partly funded by the NMP priority of the European 7th Framework Program (Project reference 603028). We would like to thank MeVis Medical Solutions for the use of MeVisLab as a development environment for this tool.
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