A platform for quantifying atrial structural remodelling

Orod Razeghi; Rashed Karim; John Whitaker; Catalina Tobon-Gomez; Steven Niederer

doi:10.22489/CinC.2017.047-306

A platform for quantifying atrial structural remodelling

Orod Razeghi^*, Rashed Karim, John Whitaker, Catalina Tobon-Gomez, Steven Niederer

^*Corresponding author for this work

Research output: Contribution to journal › Conference paper › peer-review

3 Citations (Scopus)

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Abstract

Cross sectional imaging tools are increasingly used prior to cardiac electrophysiology procedures. Cardiac Magnetic Resonance (CMR) imaging provides detailed anatomic information that can quantify structural remodelling of the atrial chambers. Atrial Late Gadolinium Enhanced (LGE) CMR may be used to identify fibrotic change in the atrium. A standardised and transparent approach to the analysis of CMR imaging would facilitate a broader applicability of such tools for complex image analysis. Furthermore, an assessment of the utility of such tools beyond highly specialised centres would be possible. In this paper, we introduce an open source platform, provide standardised solutions for extracting information from clinical images, and propose standard definitions of the atrial anatomy for comparing clinical indices.

Original language	English
Pages (from-to)	1-4
Number of pages	4
Journal	Computing in Cardiology
Volume	44
Early online date	24 Sept 2017
DOIs	https://doi.org/10.22489/CinC.2017.047-306
Publication status	Published - 2017
Event	Computing in Cardiology 2017: Conference - Rennes, France Duration: 24 Sept 2017 → 27 Sept 2017

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title = "A platform for quantifying atrial structural remodelling",

abstract = "Cross sectional imaging tools are increasingly used prior to cardiac electrophysiology procedures. Cardiac Magnetic Resonance (CMR) imaging provides detailed anatomic information that can quantify structural remodelling of the atrial chambers. Atrial Late Gadolinium Enhanced (LGE) CMR may be used to identify fibrotic change in the atrium. A standardised and transparent approach to the analysis of CMR imaging would facilitate a broader applicability of such tools for complex image analysis. Furthermore, an assessment of the utility of such tools beyond highly specialised centres would be possible. In this paper, we introduce an open source platform, provide standardised solutions for extracting information from clinical images, and propose standard definitions of the atrial anatomy for comparing clinical indices.",

author = "Orod Razeghi and Rashed Karim and John Whitaker and Catalina Tobon-Gomez and Steven Niederer",

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AU - Razeghi, Orod

AU - Karim, Rashed

AU - Whitaker, John

AU - Tobon-Gomez, Catalina

AU - Niederer, Steven

PY - 2017

Y1 - 2017

N2 - Cross sectional imaging tools are increasingly used prior to cardiac electrophysiology procedures. Cardiac Magnetic Resonance (CMR) imaging provides detailed anatomic information that can quantify structural remodelling of the atrial chambers. Atrial Late Gadolinium Enhanced (LGE) CMR may be used to identify fibrotic change in the atrium. A standardised and transparent approach to the analysis of CMR imaging would facilitate a broader applicability of such tools for complex image analysis. Furthermore, an assessment of the utility of such tools beyond highly specialised centres would be possible. In this paper, we introduce an open source platform, provide standardised solutions for extracting information from clinical images, and propose standard definitions of the atrial anatomy for comparing clinical indices.

AB - Cross sectional imaging tools are increasingly used prior to cardiac electrophysiology procedures. Cardiac Magnetic Resonance (CMR) imaging provides detailed anatomic information that can quantify structural remodelling of the atrial chambers. Atrial Late Gadolinium Enhanced (LGE) CMR may be used to identify fibrotic change in the atrium. A standardised and transparent approach to the analysis of CMR imaging would facilitate a broader applicability of such tools for complex image analysis. Furthermore, an assessment of the utility of such tools beyond highly specialised centres would be possible. In this paper, we introduce an open source platform, provide standardised solutions for extracting information from clinical images, and propose standard definitions of the atrial anatomy for comparing clinical indices.

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M3 - Conference paper

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JO - Computing in Cardiology

JF - Computing in Cardiology

T2 - Computing in Cardiology 2017

Y2 - 24 September 2017 through 27 September 2017

ER -

A platform for quantifying atrial structural remodelling

Abstract

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