Research Areas
My research interests are focused on Medical Software, specifically development of segmentation and correction algorithms, which could be used in helping clinicians to improve the accuracy of diagnosis in clinics.
Medical ima
ge analysis in the clinical environment has become an important pre- and post-processing method to help with the diagnosis and the analysis of disease progress. To bring about this analysis through medical images (MRI, X-ray, CT), clinicians normally use two approaches: visual inspection of the image or through image processing tools, which are used to isolate and quantify each part of the image (ratios, volumes , sizes, etc.). The segmentation algorithms are in charge of partitioning or isola
ting these images into different sections or region of interest (ROI) from where these metrics could be obtained. However, despite of its advances, image segmentation still remains an ongoing research topic, and their results are still application specific, and influenced by the presence of pathological regions. Therefore, to achieve an optimal solution, clinicians still have to perform a time consuming task of post-correction and checking of these computer-generated results. Therefore, my research aims to improve the quality of 3D segmentation algorithms by using sparse prior information and effective semi- or fully-automatic correction methods.
Until now my software and algorithms have been used on different parts of the human body such as:
- Muscles
- Brain
- Bones
- Nerves
- Abdominal region (Liver, pancreas, kidneys, gallbladder, spleen, stomach)