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Combined magnetic resonance, fluorescence, and histology imaging strategy in a human breast tumor xenograft model
Applications of molecular imaging in cancer and other diseases frequently require combining in vivo imaging modalities, such as magnetic resonance and optical imaging, with ex vivo optical, fluorescence, histology, and immunohistochemical (IHC) imaging, to investigate and relate molecular and biolog...
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Published in: | NMR in biomedicine 2012-09, Vol.26 (3), p.285-298 |
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Main Authors: | , , , , , , , , |
Format: | Article |
Language: | English |
Online Access: | Get full text |
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Summary: | Applications of molecular imaging in cancer and other diseases frequently require combining
in vivo
imaging modalities, such as magnetic resonance and optical imaging, with
ex vivo
optical, fluorescence, histology, and immunohistochemical (IHC) imaging, to investigate and relate molecular and biological processes to imaging parameters within the same region of interest. We have developed a multimodal image reconstruction and fusion framework that accurately combines
in vivo
magnetic resonance imaging (MRI) and magnetic resonance spectroscopic imaging (MRSI),
ex vivo
brightfield and fluorescence microscopic imaging, and
ex vivo
histology imaging.
Ex vivo
brightfield microscopic imaging was used as an intermediate modality to facilitate the ultimate link between
ex vivo
histology and
in vivo
MRI/MRSI. Tissue sectioning necessary for optical and histology imaging required generation of a three-dimensional (3D) reconstruction module for 2D
ex vivo
optical and histology imaging data. We developed an external fiducial marker based 3D reconstruction method, which was able to fuse optical brightfield and fluorescence with histology imaging data. Registration of 3D tumor shape was pursued to combine
in vivo
MRI/MRSI and
ex vivo
optical brightfield and fluorescence imaging data. This registration strategy was applied to
in vivo
MRI/MRSI,
ex vivo
optical brightfield/fluorescence, as well as histology imaging data sets obtained from human breast tumor models. 3D human breast tumor data sets were successfully reconstructed and fused with this platform. |
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ISSN: | 0952-3480 1099-1492 |
DOI: | 10.1002/nbm.2846 |