Curvature map postview 2.22/2/2024 2013.Īnalysis of 4D medical images presenting pathology (i.e., lesions) is signi cantly challenging due to the presence of complex changes over time. Modeling 4D changes in pathological anatomy using domain adaptation: analysis of TBI imaging using a tumor database, In Proceedings of the 2013 MICCAI-MBIA Workshop, Lecture Notes in Computer Science (LNCS), Vol. A user survey demonstrates that our synthetic Brainbow technique improves visualizations of volume data with complex structures for biologists.īo Wang, M. The synthesized Brainbow images are presented to domain experts with positive feedback. In addition, we incorporate ID shuffling and Monte-Carlo sampling into our technique, so that it can be applied to single-channel confocal microscopy data. In this paper, we leverage a process known as GPU framebuffer feedback loops to synthesize Brainbow-like images. These structures are often packed and obscure each other in rendered images making analysis difficult. In practice, most confocal microscopy scans use different florescence staining with typically at most three distinct cellular structures. However, the complexity of the Brainbow technique limits its applications. Complex cellular structures can then be easily visualized. Biological samples processed with this technique and imaged with confocal microscopy have distinctive colors for individual cells. Brainbow is a genetic engineering technique that randomly colorizes cells.
0 Comments
Leave a Reply.AuthorWrite something about yourself. No need to be fancy, just an overview. ArchivesCategories |