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Left Atrial Segmentation from 3D Respiratory- and ECG-gated Magnetic Resonance Angiography

  • Rashed KarimEmail author
  • Henry Chubb
  • Wieland Staab
  • Shadman Aziz
  • R. James Housden
  • Mark O’Neill
  • Reza Razavi
  • Kawal Rhode
Conference paper
Part of the Lecture Notes in Computer Science book series (LNCS, volume 9126)

Abstract

Magnetic resonance angiography (MRA) scans provide excellent chamber and venous anatomy. However, they have traditionally been acquired in breath-hold and are not cardiac-gated. This has made it difficult to use them in conjunction with late gadolinium enhancement (LGE) scans for reconstructing fibrosis/scar on 3D left atrium (LA) anatomy. This work proposes an image processing algorithm for segmenting the LA from a novel MRA sequence which is both ECG-gated and respiratory-gated allowing reliable 3D reconstructions with LGE. The algorithm implements image partitioning using discrete Morse theory on digital images. It is evaluated in the context of creating 3D reconstructions of scar/fibrosis with LGE.

Keywords

Image segmentation Delayed-enhancement MRI Magnetic resonance angiography Left atrium 

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Copyright information

© Springer International Publishing Switzerland 2015

Authors and Affiliations

  • Rashed Karim
    • 1
    Email author
  • Henry Chubb
    • 1
  • Wieland Staab
    • 3
  • Shadman Aziz
    • 1
  • R. James Housden
    • 1
  • Mark O’Neill
    • 1
    • 2
  • Reza Razavi
    • 1
    • 2
  • Kawal Rhode
    • 1
  1. 1.Department of Biomedical EngineeringKing’s College LondonLondonUK
  2. 2.Department of CardiologyGuy’s and St. Thomas’ NHS Foundation TrustLondonUK
  3. 3.Department of Cardiology and PneumologyUniversity of GöttingenGöttingenGermany

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