| Literature DB >> 23968722 |
Qi Zhang1, Murray Alexander, Lawrence Ryner.
Abstract
Efficient software with the ability to display multiple neurological image datasets simultaneously with full real-time interactivity is critical for brain disease diagnosis and image-guided planning. In this paper, we describe the creation and function of a new comprehensive software platform that integrates novel algorithms and functions for multiple medical image visualization, processing, and manipulation. We implement an opacity-adjustment algorithm to build 2D lookup tables for multiple slice image display and fusion, which achieves a better visual result than those of using VTK-based methods. We also develop a new real-time 2D and 3D data synchronization scheme for multi-function MR volume and slice image optical mapping and rendering simultaneously through using the same adjustment operation. All these methodologies are integrated into our software framework to provide users with an efficient tool for flexibly, intuitively, and rapidly exploring and analyzing the functional and anatomical MR neurological data. Finally, we validate our new techniques and software platform with visual analysis and task-specific user studies.Entities:
Keywords: FMRI; Human–computer interaction; Image fusion; Lookup table; Multi-function; Neurological image; Optical mapping; Real-time; Registration; Synchronization; Visualization
Mesh:
Year: 2013 PMID: 23968722 DOI: 10.1016/j.compmedimag.2013.06.007
Source DB: PubMed Journal: Comput Med Imaging Graph ISSN: 0895-6111 Impact factor: 4.790