| Research Title | .. | : | .. | Multimodal medical image fusion in the context of cardiovascular plaque detection and monitoring |
| Principal Investigator | .. | : | .. | Prof. Dr.-Ing. Christine Pohl |
| Research Description | .. | : | .. | This project investigates the combination of different medical imaging modalities, such as ultrasound (US), echography, |
| .. | .. | computer tomography (CT), and magnetic resonance imaging (MRI). The first part of the project will investigate image fusion approaches to improve the usefulness and quality of multimodal medical images for cardiovascular plaque detection and monitoring.Recent publications in the field of medical image fusion (MIF) point out the value of multi-modality in diagnosis, pre-surgical planning and surgical intervention. The integration of multiple data sources including medical images from different devices/sensors strongly increases reliability and information content. Successfully fused multi-modal data should not contain any artefacts, not remove any relevant information from the original data and minimize redundancy. Image and data fusion aims at providing supplementary clinical information that is not apparent in the individual images alone.Based on the availability of multimodal devices we obtain different images of the same object. The multimodal images are fused to enhance information and support the cardio clinician in diagnostic, pre-surgical planning and intervention.
The proposed research will concentrate on the optimization of medical images using image fusion in the context of cardiovascular plaque detection and characterization using US, MRI and CT data. The combination of single photon emission computed tomography (SPECT) and CT images also depicts cardiac and vascular anatomical abnormalities. However, the access to SPECT is limited, which is the reason why the option to use this data has been excluded from this project. The Project has been launched on 1st April 2014 and finishes 31st March 2015. |
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