Meeting Banner
Abstract #4960

Convolutional Neural Network based Automatic Planning for Pseudo-Continuous Arterial Spin Labeling

Michael Helle1, Thomas Lindner2, and Karsten Sommer1

1Philips Research, Hamburg, Germany, 2Department of Radiology and Neuroradiology, University Hospital Schleswig-Holstein Campus Kiel, Kiel, Germany

Pseudo-continuous arterial spin labeling (pCASL) requires careful planning of the labeling plane to achieve high labeling efficiency, which makes the quality of the imaging results dependent on the experience of the operator. Here we demonstrate the feasibility of using a convolutional neural network to automatically predict an appropriate labeling position based on angiography images, thereby allowing for fully automatic pCASL perfusion scans.

This abstract and the presentation materials are available to members only; a login is required.

Join Here