Resolving the Three-Dimensional Histology of the Heart

Gibb, Matthew; Burton, Rebecca A.B.; Bollensdorff, Christian; Afonso, Carlos; Mansoori, T.; Schotten, Ulrich; Gavaghan, D.; Rodríguez, Blanca; Schneider, Jürgen; Kohl, Peter; Grau, Vicente

doi:10.1007/978-3-642-33636-2_2

Cited by 8 publications

(8 citation statements)

References 37 publications

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“…Histology offers direct insights into microstructure, but three-dimensional reconstruction from histological slices is challenging. 33 Computational models, simulating water diffusion and MRI acquisition sequences, can be used to provide a direct link between structure and diffusion. 34 The relationship between microstructural and functional changes is not fully understood, and here computational models can again provide a unique tool as shown for example in references.…”

Section: Description Of the Workhopmentioning

confidence: 99%

Human-based approaches to pharmacology and cardiology: an interdisciplinary and intersectorial workshop

et al. 2015

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Both biomedical research and clinical practice rely on complex datasets for the physiological and genetic characterization of human hearts in health and disease. Given the complexity and variety of approaches and recordings, there is now growing recognition of the need to embed computational methods in cardiovascular medicine and science for analysis, integration and prediction. This paper describes a Workshop on Computational Cardiovascular Science that created an international, interdisciplinary and inter-sectorial forum to define the next steps for a human-based approach to disease supported by computational methodologies. The main ideas highlighted were (i) a shift towards human-based methodologies, spurred by advances in new in silico, in vivo, in vitro, and ex vivo techniques and the increasing acknowledgement of the limitations of animal models. (ii) Computational approaches complement, expand, bridge, and integrate in vitro, in vivo, and ex vivo experimental and clinical data and methods, and as such they are an integral part of human-based methodologies in pharmacology and medicine. (iii) The effective implementation of multi- and interdisciplinary approaches, teams, and training combining and integrating computational methods with experimental and clinical approaches across academia, industry, and healthcare settings is a priority. (iv) The human-based cross-disciplinary approach requires experts in specific methodologies and domains, who also have the capacity to communicate and collaborate across disciplines and cross-sector environments. (v) This new translational domain for human-based cardiology and pharmacology requires new partnerships supported financially and institutionally across sectors. Institutional, organizational, and social barriers must be identified, understood and overcome in each specific setting.

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Section: Description Of the Workhopmentioning

confidence: 99%

Human-based approaches to pharmacology and cardiology: an interdisciplinary and intersectorial workshop

et al. 2015

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“…Given the substantial deformations occurring between acquisitions (between in vivo and ex vivo scans and between MRI and histology), advanced image processing algorithms are required. Additionally, 2D slices need to be combined to produce a 3D representation that can be related to MRI findings, a process that is far from trivial ( Gibb et al., 2012 ). In a related study, the sinoatrial node was reconstructed in human tissue by combined DT-MRI, histology and immuno-histochemistry imaging ( Chandler et al., 2011 ).…”

Section: Anatomical Model Improvements Driven By Novel Imaging Technimentioning

confidence: 99%

Images as drivers of progress in cardiac computational modelling

Lamata

Casero

Carapella

et al. 2014

Progress in Biophysics and Molecular Biology

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Computational models have become a fundamental tool in cardiac research. Models are evolving to cover multiple scales and physical mechanisms. They are moving towards mechanistic descriptions of personalised structure and function, including effects of natural variability. These developments are underpinned to a large extent by advances in imaging technologies. This article reviews how novel imaging technologies, or the innovative use and extension of established ones, integrate with computational models and drive novel insights into cardiac biophysics. In terms of structural characterization, we discuss how imaging is allowing a wide range of scales to be considered, from cellular levels to whole organs. We analyse how the evolution from structural to functional imaging is opening new avenues for computational models, and in this respect we review methods for measurement of electrical activity, mechanics and flow. Finally, we consider ways in which combined imaging and modelling research is likely to continue advancing cardiac research, and identify some of the main challenges that remain to be solved.

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“…Examples of external references in the literature are tissue markers ( Ourselin et al, 2001 , Streicher et al, 2000 ), drill holes ( Streicher et al, 1997 ), template or atlas ( Ali and Cohen, 1998 , He et al, 1995 , Ju et al, 2006 , Timsari et al, 1999 ), structural probability map ( Müller et al, 2014 ), MRI ( Adler et al, 2014 , Adler et al, 2012 , Ceritoglu et al, 2010 , Gibb et al, 2012 , Gilbert et al, 2012 , Malandain et al, 2004 , Mansoori et al, 2007 , Ourselin et al, 2001 , Rusu et al, 2015 , Schormann et al, 1995 , Thompson and Toga, 1996 ), CT ( Atkinson, 2014 ), micro-CT ( Khimchenko et al, 2016 ) or 2D images of the tissue surface at the cut side of the embedded tissue, a.k.a. blockface images ( Bardinet et al, 2002 , Gefen et al, 2003 , Kim et al, 1997 , Mega et al, 1997 , Ourselin et al, 2001 , Schubert et al, 2016 , Siedlecka et al, 2013a , Siedlecka et al, 2013b , Toga et al, 1994 ).…”

Section: Introductionmentioning

confidence: 99%