Texture-Based 3-D Brain Imaging

Different modalities in biomedical imaging, like CT, MRI and PET scanners, provide detailed crosssectional views of the human anatomy. The imagery obtained from these scanning devices are typically large-scale data sets whose sizes vary from several hundred megabytes to about one hundred gigabytes, making them impossible to be stored on a regular local hard drive. San Diego Supercomputer Center (SDSC) maintains a High-Performance Storage System (HPSS) where these large-scale data sets can be stored. Members of the National Partnership for Advanced Computational Infrastructure (NPACI) have implemented a Scalable Visualization Toolkit (Vistools), which is used to access the data sets stored on HPSS and also to develop different applications on top of the toolkit. 2-D cross-sectional images are extracted from the data sets stored on HPSS using Vistools, and these 2-D cross-sections are then transformed into smaller hierarchical representations using a wavelet transformation. This makes i...

• Type: Conference
• Year: 2001
• Where: BIBE
• Authors: Sagar Saladi, Pujita Pinnamaneni, Joerg Meyer
• Keywords: 2-D Cross-sections, BIBE 2001, Bioinformatics, Data Set, Large-scale Data Sets