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|2012 ||Calamante, Fernando, Tournier, Jacques-Donald, Kurniawan, Nyoman D., Yang, Zhengyi, Gyengesi, Erika, Galloway, Graham J., Reutens, David C. and Connelly, Alan (2012) Super-resolution track-density imaging studies of mouse brain: Comparison to histology. NeuroImage, 59 1: 286-296.|
The recently proposed track-density imaging (TDI) technique was introduced as a means to achieve superresolution using diffusion MRI. This technique is able to increase the spatial resolution of the reconstructed images beyond the acquired MRI resolution by incorporating information from whole-brain fibre-tracking results. It not only achieves super-resolution, but also provides very high anatomical contrast with a new MRI contrast mechanism. However, the anatomical information-content of this novel contrast mechanism has not yet been assessed. In this work, we perform such a study using diffusion MRI of ex vivo mouse brains acquired at 16.4T, to compare the results of the super-resolution TDI technique with histological staining (myelin and Nissl stains) in the same brains. Furthermore, a modified version of the directionally-encoded colour TDI map using short-tracks is introduced, which reduces the TDI intensity dynamic range, and therefore enhances the directionality colour-contrast. Good agreement was observed between structures visualised in the superresolution TDI maps and in the histological sections, supporting the anatomical information-content of the images generated using the TDI technique. The results therefore show that the TDI methodology does provide meaningful and rich anatomical contrast, in addition to achieving super-resolution. Furthermore, this study is the first to show the application of TDI to mouse brain imaging: the high-resolution, high-quality images demonstrate the useful complementary information that can be achieved using super-resolution TDI.
| Professor David Reutens, Dr Steven Yang, Professor Graham Galloway, Dr Nyoman Kurniawan|
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|Keywords: ||Magnetic resonance imaging, Super-resolution, Mouse brain, Diffusion MRI, Validation, Histology|