Paper
3 October 2016 Histology-validated x-ray tomography for imaging human coronary arteries
Marzia Buscema, Georg Schulz, Hans Deyhle, Anna Khimchenko, Sofiya Matviykiv, Margaret N. Holme, Alexander Hipp, Felix Beckmann, Till Saxer M.D., Katarzyna Michaud, Bert Müller
Author Affiliations +
Abstract
Heart disease is the number one cause of death worldwide. To improve therapy and patient outcome, the knowledge of anatomical changes in terms of lumen morphology and tissue composition of constricted arteries is crucial for designing a localized drug delivery to treat atherosclerosis disease. Traditional tissue characterization by histology is a pivotal tool, although it brings disadvantages such as vessel morphology modification during decalcification and slicing. X-ray tomography in absorption and phase contrast modes yields a deep understanding in blood vessel anatomy in healthy and diseased stages: measurements in absorption mode make visible highly absorbing tissue components including cholesterol plaques, whereas phase contrast tomography gains better contrast of the soft tissue components such as vessel walls. Established synchrotron radiation-based micro-CT techniques ensure high performance in terms of 3D visualization of highly absorbing and soft tissues.
© (2016) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Marzia Buscema, Georg Schulz, Hans Deyhle, Anna Khimchenko, Sofiya Matviykiv, Margaret N. Holme, Alexander Hipp, Felix Beckmann, Till Saxer M.D., Katarzyna Michaud, and Bert Müller "Histology-validated x-ray tomography for imaging human coronary arteries", Proc. SPIE 9967, Developments in X-Ray Tomography X, 99670O (3 October 2016); https://doi.org/10.1117/12.2238702
Lens.org Logo
CITATIONS
Cited by 1 scholarly publication.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Tissues

Arteries

X-rays

Tomography

Absorption

Phase contrast

Visualization

Back to Top