Histology-Based Evaluation of Optical Coherence Tomographic Characteristics of the Cerebral Artery Wall via Virtual Inflating

Glaßer, Sylvia; Hoffmann, Thomas; Boese, Axel; Voß, Samuel; Kalinski, Thomas; Skalej, Martin; Preim, Bernhard

doi:10.2312/vcbm.20151218

by Sylvia Glaßer, Thomas Hoffmann, Axel Boese, Samuel Voß, Thomas Kalinski, Martin Skalej, Bernhard Preim

Abstract:

With an increased rate of cerebrovascular diseases, the need for an advanced vessel wall analysis increases as well. In this work, we provide new information of cerebral artery walls extracted with optical coherence tomography (OCT) ex vivo. We present first results of cerebral vessel wall characteristics combined with histological image data. As a prerequisite for this combination, a new image processing method called virtual inflation was developed. This method accounts for the missing blood pressure causing collapsing of the vessels as well as geometrical shape deformations due to catheter probing and histological imaging. We sample the vessel wall thickness locally based on the (deflated) vessel-lumen border instead of the vessel's centerline. The virtual inflation allows for co-aligning of the different image modalities. It is embedded in a multiple coordinated view framework where correspondences between the data can be highlighted via brushing and linking. In combination with histologic image data, we provide OCT signal characteristics of the human cerebral artery wall.

Reference:

Histology-Based Evaluation of Optical Coherence Tomographic Characteristics of the Cerebral Artery Wall via Virtual Inflating (Sylvia Glaßer, Thomas Hoffmann, Axel Boese, Samuel Voß, Thomas Kalinski, Martin Skalej, Bernhard Preim), In Eurographics Workshop on Visual Computing for Biology and Medicine (Katja Bühler, Lars Linsen, Nigel W. John, eds.), The Eurographics Association, 2015.

Bibtex Entry:

@inproceedings{glaser_histology-based_2015,
	address = {Chester, United Kingdom},
	title = {Histology-{Based} {Evaluation} of {Optical} {Coherence} {Tomographic} {Characteristics} of the {Cerebral} {Artery} {Wall} via {Virtual} {Inflating}},
	isbn = {978-3-905674-82-8},
	doi = {10.2312/vcbm.20151218},
	abstract = {With an increased rate of cerebrovascular diseases, the need for an advanced vessel wall analysis increases as well. In this work, we provide new information of cerebral artery walls extracted with optical coherence tomography (OCT) ex vivo. We present first results of cerebral vessel wall characteristics combined with histological image data. As a prerequisite for this combination, a new image processing method called virtual inflation was developed. This method accounts for the missing blood pressure causing collapsing of the vessels as well as geometrical shape deformations due to catheter probing and histological imaging. We sample the vessel wall thickness locally based on the (deflated) vessel-lumen border instead of the vessel's centerline. The virtual inflation allows for co-aligning of the different image modalities. It is embedded in a multiple coordinated view framework where correspondences between the data can be highlighted via brushing and linking. In combination with histologic image data, we provide OCT signal characteristics of the human cerebral artery wall.},
	booktitle = {Eurographics {Workshop} on {Visual} {Computing} for {Biology} and {Medicine}},
	publisher = {The Eurographics Association},
	author = {Glaßer, Sylvia and Hoffmann, Thomas and Boese, Axel and Voß, Samuel and Kalinski, Thomas and Skalej, Martin and Preim, Bernhard},
	editor = {Bühler, Katja and Linsen, Lars and John, Nigel W.},
	year = {2015}
}