Multi-modality medical imaging, such as positron emission tomography and computed tomography (PET-CT) depicts biological and physiological functions (from PET) within a higher resolution anatomical reference frame (from CT). Although it may seem counter-intuitive, the effective assimilation and visualization of these two large data volumes are non-trivial. Multi-modality imaging presents challenges in image processing and visualization, such as with image registration (to register multiple modalities to the same spatial space) and image segmentation (to annotate a region of interest e.g., a tumor), and their subsequent use in the volume rendering visualization. This paper presents our research group's ongoing projects in PET-CT image involving image processing and its application in volume rendering visualization.
['Younhyun Jung', 'Jinman Kim']
Multi-Modal Image Processing and Visualization: Application to PET-CT