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Image Processing

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For use in biomedical education and the diagnosis and treatment of diseases, LHNCBC conducts R&D in the analysis, presentation, and retrieval of images and the creation of visualizations. Areas of active investigation include image compression, image enhancement, image recognition and understanding, image transmission, and user interface design. Our research has several objectives: build advanced imaging tools for biomedical research; create image-based tools for medical training and assessment; investigate design principles for, and develop multimedia image/text databases with particular focus on database organization, indexing and retrieval; develop Content-Based Image Retrieval (CBIR) techniques for automated indexing of medical images by image features.

Projects

chest x-ray image

Computer-aided TB Screening on Chest X-rays

We are collaborating with AMPATH (Academic Model Providing Access to Healthcare), an organization supported by USAID that runs the largest AIDS treatment program in the world. This project uses LHNCBC’s imaging research and system development to fulfill NIH global health policy objectives. Our objective is to leverage in-house expertise in image processing to screen HIV-positive patients in rural Kenya for evidence of pulmonary tuberculosis (TB) in chest x-rays.

Screenshot of the Boundary Marking Tool created for cancer research.

Imaging Tools for Cancer Research

The goal of our work in Biomedical Imaging is two-fold: One, to develop advanced imaging tools for biomedical research in partnership with the National Cancer Institute and other organizations. Secondly, to conduct research in Content Based Image Retrieval (CBIR) to index and retrieve medical images by image features (e.g., shape, color and texture), augmented by textual features as well.

Malaria Screener

To improve malaria diagnostics, we are developing a fully-automated system for parasite detection and counting in blood films in collaboration with NIH’s National Institute of Allergy and Infectious Diseases (NIAID) and Mahidol-Oxford University.