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3D high resolution imaging of human heart for visualization of the cardiac structure

Item Type:Article
Title:3D high resolution imaging of human heart for visualization of the cardiac structure
Creators Name:Haliot, K. and Magat, J. and Ozenne, V. and Abell, E. and Dubes, V. and Bear, L. and Gilbert, S.H. and Trew, M.L. and Haissaguerre, M. and Quesson, B. and Bernus, O.
Abstract:Imaging of cardiac structure is thus essential for understanding both electrical propagation and efficient contraction in human models. The processing pipeline of diffusion tensor imaging (DTI) and structure tensor imaging (STI) is described and the first ex vivo demonstration of this approach in a human heart is provided at 9.4T. A human heart was fixed in formaldehyde with gadolinium then immersed in Fomblin. MRI acquisitions were performed at 9.4T/30 cm with a 7 elements transmit/receive coil. 3D spin-echo DTI at 600 × 600 × 600 µm(3) and 3D FLASH echo image at 150 × 150 × 150 µm(3) were produced. Tensor extraction and analysis were performed on both volumes. 3D gradient echo at 150 × 150 × 150 (µ)m3 allows direct visualization of detailed structure of LV. Abrupt change in sheetlet orientation is observed in the LV and is confirmed with STI. The DTI helix angle has a smooth transmural change from endocardium to epicardium. Both the helix and transverse angles are shown to be similar between DTI and STI. The sheetlet organization between both acquisitions displays the same pattern even though local angle differences are demonstrated. In conclusion, these preliminary results are promising for investigating 3D structural characterization of normal/pathologic cardiac organization in human. It opens new perspectives to better understand the links between structural remodeling and electrical disorders of the heart.
Keywords:Cardiac Microstructure, Sheetlet Organization, High Field MRI, Helix Angles, Structure Tensor, Diffusion Tensor
Source:Lecture Notes in Computer Science
Series Name:Lecture Notes in Computer Science
Title of Book:Functional Imaging and Modeling of the Heart
Page Range:196-207
Date:30 May 2019
Official Publication:https://doi.org/10.1007/978-3-030-21949-9_22

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