Resolving the three-dimensional histology of the heart

Journal article

Cardiac histo-anatomical structure is a key determinant in all aspects of cardiac function. While some characteristics of micro- and macrostructure can be quantified using non-invasive imaging methods, histology is still the modality that provides the best combination of resolution and identification of cellular/sub-cellular substrate identities. The main limitation of histology is that it does not provide inherently consistent three-dimensional (3D) volume representations. This paper presents methods developed within our group to reconstruct 3D histological datasets. It includes the use of high-resolution MRI and block-face images to provide supporting volumetric datasets to guide spatial reintegration of 2D histological section data, and presents recent developments in sample preparation, data acquisition, and image processing. © 2012 Springer-Verlag.

Authors: Gibb, M; Burton, R; Bollensdorff, C; Afonso, C; Mansoori, T

• Journal: Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
• Volume: 7605 LNBI
• Pages: 2-16
• Publication date: 2012-01-01
• DOI: 10.1007/978-3-642-33636-2_2
• EISSN: 1611-3349
• ISSN: 0302-9743
• Language: English
• Keywords: cardiac microstructure; Cardiac imaging; three-dimensional reconstruction; histology