Computerized methodology for micro-CT and histological data inflation using an IVUS based translation map

Athanasiou, Lambros S.; Rigas, George; Sakellarios, Antonis I.; Exarchos, Themis P.; Siogkas, Panagiotis K.; Naka, Katerina K.; Panetta, Daniele; Pelosi, Gualtiero; Vozzi, Federico; Michalis, Lampros K.; Parodi, Oberdan; Fotiadis, Dimitrios I.

doi:10.1016/j.compbiomed.2015.02.018

Cited by 2 publications

(1 citation statement)

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“…The virtual inflation approach based on optical coherence tomographic and histologic data of ex-vivo intracranial vessels projects the inner vessel wall on a circle and transfers the wall tissue accordingly [15]. Athanasiou et al [16] proposed virtual inflation for histology and micro-CT of vessels. Their inflation first requires manual registration of the images to intravascular ultrasound.…”

Section: Related Workmentioning

confidence: 99%

Multimodal exploration of the intracranial aneurysm wall

et al. 2023

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Purpose Intracranial aneurysms (IAs) are pathological changes of the intracranial vessel wall, although clinical image data can only show the vessel lumen. Histology can provide wall information but is typically restricted to ex vivo 2D slices where the shape of the tissue is altered. Methods We developed a visual exploration pipeline for a comprehensive view of an IA. We extract multimodal information (like stain classification and segmentation of histologic images) and combine them via 2D to 3D mapping and virtual inflation of deformed tissue. Histological data, including four stains, micro-CT data and segmented calcifications as well as hemodynamic information like wall shear stress (WSS), are combined with the 3D model of the resected aneurysm. Results Calcifications were mostly present in the tissue part with increased WSS. In the 3D model, an area of increased wall thickness was identified and correlated to histology, where the Oil red O (ORO) stained images showed a lipid accumulation and the alpha-smooth muscle actin (aSMA) stained images showed a slight loss of muscle cells. Conclusion Our visual exploration pipeline combines multimodal information about the aneurysm wall to improve the understanding of wall changes and IA development. The user can identify regions and correlate how hemodynamic forces, e.g. WSS, are reflected by histological structures of the vessel wall, wall thickness and calcifications.

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Section: Related Workmentioning

confidence: 99%