Neural network reconstruction of the left atrium using sparse catheter paths - Takeaways - MDSpire

Neural network reconstruction of the left atrium using sparse catheter paths

  • By

  • Alon Baram

  • Moshe Safran

  • Tomer Noy

  • Nave Geri

  • Hayit Greenspan

  • September 16, 2024

  • 0 min

Share

  • 1

    Atrial fibrillation (AF) is a prevalent cardiac arrhythmia linked to increased stroke risk and reduced quality of life.

  • 2

    Catheter-based electro-anatomic mapping (EAM) is the primary treatment for AF, focusing on pulmonary vein isolation.

  • 3

    Current EAM systems require extensive catheter contact for accurate left atrial surface reconstruction, which is time-consuming.

  • 4

    The study proposes a neural network approach to efficiently reconstruct the left atrial anatomy using sparse catheter paths.

  • 5

    The dense encoder–decoder network (DED) outperforms baseline methods, enhancing mapping efficiency and anatomical accuracy.

Original Source(s)

Neural network reconstruction of the left atrium using sparse catheter paths

  • by Alon Baram, Moshe Safran, Tomer Noy, Nave Geri, Hayit Greenspan

  • September 16, 2024

Related Content

Medical Oddities: For the Birds—and the Brain

Birds for brains, blackout laughs, anti-aging tea, thin air, muscle memory—and torn marriages, all with a clinical touch this week.

CT Perfusion Detects Tissue at Risk in Mild Stroke

Perfusion imaging adds prognostic information in patients with low National Institutes of Health Stroke Scale scores.

Microelectrode recording-guided globus pallidus pars internus deep brain stimulation treats dystonia under general anaesthesia: a retrospective experience of one center