Published April 24, 2020 | Version v1
Dataset Open

Constructing a Human Atrial Fibre Atlas, Roney et al.

  • 1. King's College London
  • 1. King's College London
  • 2. Beth Israel Deaconess Medical Center and Harvard Medical School
  • 3. LIRYC Electrophysiology and Heart Modeling Institute
  • 4. UC San Diego School of Engineering
  • 5. Johns Hopkins University

Description

Background: Atrial anisotropy affects electrical propagation patterns, anchor locations of atrial reentrant drivers, and atrial mechanics. However, patient-specific atrial fibre fields and anisotropy measurements are not currently available, and consequently assigning fibre fields to atrial models is challenging. We aimed to construct an atrial fibre atlas from a high-resolution DTMRI dataset that optimally reproduces electrophysiology simulation predictions corresponding to patient-specific fibre fields, and to develop a methodology for automatically assigning fibres to patient-specific anatomies.

 

Dataset Description: We include endocardial and epicardial left and right atrial surfaces for each of the 7 anatomies included in our study (Constructing a Human Atrial Fibre Atlas, ABME, 2020), together with their fibre fields. We also include the average fibre field for each of the atrial surfaces displayed on anatomy number 6 (named *_A). 

For each of the surfaces, we also include universal atrial coordinate fields alpha and beta, which are a lateral-septal coordinate and posterior-anterior coordinate for the LA (IVC-SVC coordinate for the RA). More details on the coordinate construction are given in our manuscript and https://www.ncbi.nlm.nih.gov/pubmed/31026761. These coordinates can be used for registering datasets. 

These meshes are in vtk format, consisting of the nodes, triangular elements, the atrial coordinate fields defined on the nodes, and the fibre field defined on the elements. 

We have also included mesh files for the Cardiac Arrhythmia Research Package simulator. These are a list of nodal coordinates (.pts file), a list of triangular elements (.elem file), and a fibre file (.lon). More details on this file format and the carpentry simulator are available at: https://carpentry.medunigraz.at/carputils/index.html

Files

Fibre_Files.zip

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Additional details

Funding

Predicting Atrial Fibrillation Mechanisms Through Deep Learning MR/S015086/1
UK Research and Innovation
Personalised Model Based Optimal Lead Guidance in Cardiac Resynchronisation Therapy EP/M012492/1
UK Research and Innovation
Wellcome EPSRC Centre for Medical Engineering NS/A000049/1
UK Research and Innovation
Uncertainty Quantification in Prospective and Predictive Patient Specific Cardiac Models EP/P01268X/1
UK Research and Innovation