Multimodality Workstation for Biomedical Imaging Visualization
The era of digitalization has revolutionized the medical imaging field in the last decades. The rising of new methods for storing medical data has brought the need for developing computational tools for successfully manipulating this information.
In the present, several software platforms have been developed for serving this demand, however, none of them fully adjust to the requirements of the researchers in the Laboratorio de Imagen Médica (LIM). Thus, the purpose of this project is to implement a multimodality software platform that provides all the necessary functions for visualization, analysis, and registration the users have while being simple and intuitive.
For performing this project, the student focused on implementing an already-existing MultiModality WorkStation. The work carried out consisted of troubleshooting the software, elaborating new algorithms to provide tools requested by the users and optimizing the importation-exportation modules in the platform, to ensure interoperability with other workstations. More specifically, the student developed an algorithm for offsetbased registration and for correctly displaying images’ orientation, created a routine for converting PET images into standardized units, implemented the platform’s interface by adding new shortcuts and toolbar buttons, actualized the DICOM importation module to ensure correct loading of DICOM files and solved several errors encountered in the console.
At the end of this project, the new version of the console was released for several researchers to test and provide feedback on the improvements. From their response, it is concluded that the implementations provided by the student have led to a significant improvement in the tools implemented, producing a positive impact on the users’ work methodology.