Multimodal information integration & visualization: Optical imaging and MRI

Fred S. Azar, Mazen Elbawab, Ali Khamene, Kijoon Lee, Regine Choe, Alper Corlu, Soren D. Konecky, Arjun G. Yodh, Frank Sauer

Research output: Contribution to journalConference articlepeer-review

3 Scopus citations

Abstract

We have developed a software platform for multimodal integration and visualization of diffuse optical tomography (DOT) and magnetic resonance imaging (MRI) of breast cancer. The image visualization platform allows multimodality 3D image visualization and manipulation of datasets, such as a variety of 3D rendering technique, and the ability to simultaneously control multiple fields of view. This platform enables quantitative and qualitative analysis of structural and functional diagnostic data, using both conventional & molecular imaging. The functional parameters, together with morphological parameters from MR can be suitably combined and correlated to the absolute diagnosis from histopathology. Fusion of the multimodal datasets will eventually lead to a significant improvement in the sensitivity and specificity of breast cancer detection. Fusion may also allow a priori structural information derived from MRI to be incorporated into the reconstruction of diffuse optical tomography images. We will present the early results of image visualization & registration on multimodal breast cancer data, DOT and MRI.

Original languageEnglish
Article number60090E
JournalProceedings of SPIE - The International Society for Optical Engineering
Volume6009
DOIs
StatePublished - 2005
EventOptical Methods in Drug Discovery and Development - Boston, MA, United States
Duration: 23 Oct 200524 Oct 2005

Keywords

  • 3D image fusion
  • 3D image registration
  • Breast cancer
  • Diffuse optical tomography
  • Magnetic resonance imaging
  • Multimodal image visualization

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