There is potential for µCT to provide complimentary information to conventional histology and light microscopy without the need for preparation of stained thin sections and a qualitative correlation between µCT-derived stromal fibre orientation and preferential water diffusion direction measured by diffusion tensor MRI microscopy of the same sample.
Abstract
Formalin-fixed prostate tissue samples were imaged by propagation-based synchrotron phase contrast micro computed tomography (µCT) with a 3D spatial resolution of ca. 3 µm. Post-µCT, samples were prepared for histology with sections close to coplanar with the transverse µCT image planes. Haematoxylin and eosin stained sections were examined by an expert prostate histopathologist and compared qualitatively with corresponding µCT-visible microstructure features. There is potential for µCT to provide complimentary information to conventional histology and light microscopy without the need for preparation of stained thin sections. For the imaging conditions and spatial resolution of our study, µCT may provide tissue architectural features similar to those used in Gleason grading, albeit without clear subcellular microstructure detail. At the spatial resolution of our study µCT may provide novel 3D microstructure information for validation of diffusion weighted magnetic resonance imaging (MRI) methods. As an example, we demonstrate a qualitative correlation between µCT-derived stromal fibre orientation and preferential water diffusion direction measured by diffusion tensor MRI microscopy of the same sample.
This survey provides the first bi-modality review covering both laboratory and synchrotron biomedical μCT segmentation, consolidates recent segmentation methodologies, identifies major trends in deep-learning techniques, and highlights current limitations across SR-PCI-μCT.
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