Co-registering images of different modalities, termed intermodal image registration, is an important tool in improving our understanding of how certain features detectable in one modality might manifest in the other. However, structural changes – usually the result of tissue processing or noise in image acquisition – can make matching difficult. In this thesis, I outline a pre-processing protocol for co-registration of paired histological sections and MRI scans as well as discuss different co-registration strategies using the rabbit larynx as a model system.
Identifer | oai:union.ndltd.org:bu.edu/oai:open.bu.edu:2144/41339 |
Date | 28 July 2020 |
Creators | Nirody, Eshan Ashok |
Contributors | Wisco, Jonathan J., Taylor, Erik N. |
Source Sets | Boston University |
Language | en_US |
Detected Language | English |
Type | Thesis/Dissertation |
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