Automatic Left Atrial Appendage Orifice Detection for Preprocedural Planning of Appendage Closure

by   Walid Abdullah Al, et al.

In preoperative planning of left atrial appendage closure (LAAC) with CT angiography, the assessment of the appendage orifice plays a crucial role in choosing an appropriate LAAC device size and a proper C-arm angulation. However, accurate orifice detection is laborious because of the high anatomic variation of the appendage, as well as the unclear orifice position and orientation in the available views. We propose an automatic orifice detection approach performing a search on the principal medial axis of the appendage, where we present an efficient iterative algorithm to grow the axis from the appendage to the left atrium. We propose to use the axis-to-surface distance of the appendage for efficient and effective detection. To localize the necessary initial seed for growing the medial axis, we train an artificial localization agent using an actor-critic reinforcement learning approach, defining the localization as a sequential decision process. The entire detection process takes only about 8 seconds, and the variance of the detected orifice with respect to annotations from two experts is calculated to be significantly small and less than the inter-observer variance. The proposed orifice search on the medial axis of the appendage comparing only its distance from the surface provides a simple, yet robust solution for orifice detection. While being the first fully automatic approach and providing a detection error below the inter-observer difference, our method improved the detection efficiency by eighteen times compared to the existing solution, therefore, can be potentially useful for physicians.


page 1

page 3

page 6

page 7


Using Anatomical Markers for Left Ventricular Segmentation of Long Axis Ultrasound Images

Left ventricular segmentation is essential for measuring left ventricula...

Robust Cochlear Modiolar Axis Detection in CT

The cochlea, the auditory part of the inner ear, is a spiral-shaped orga...

A novel approach to nose-tip and eye corners detection using H-K Curvature Analysis in case of 3D images

In this paper we present a novel method that combines a HK curvature-bas...

Deep Reinforcement Learning for Organ Localization in CT

Robust localization of organs in computed tomography scans is a constant...

The medial axis of closed bounded sets is Lipschitz stable with respect to the Hausdorff distance under ambient diffeomorphisms

We prove that the medial axis of closed sets is Hausdorff stable in the ...

Simulation of bifurcated stent grafts to treat abdominal aortic aneurysms (AAA)

In this paper a method is introduced, to visualize bifurcated stent graf...

Please sign up or login with your details

Forgot password? Click here to reset