A comprehensive approach for learning-based fully-automated inter-slice motion correction for short-axis cine cardiac MR image stacks

Conference object, Other literature type, Preprint OPEN
Tarroni, Giacomo; Oktay, Ozan; Sinclair, Matthew; Bai, Wenjia; Schuh, Andreas; Suzuki, Hideaki; de Marvao, Antonio; O'Regan, Declan; Cook, Stuart; Rueckert, Daniel;
(2018)
  • Publisher: SPRINGER INTERNATIONAL PUBLISHING AG
  • Identifiers: doi: 10.1007/978-3-030-00928-1_31
  • Subject: Computer Science - Computer Vision and Pattern Recognition | FRAMEWORK | Science & Technology | Computer Science | Artificial Intelligence & Image Processing | cs.CV | Technology | Imaging Science & Photographic Technology | Computer Science, Theory & Methods

In the clinical routine, short axis (SA) cine cardiac MR (CMR) image stacks are acquired during multiple subsequent breath-holds. If the patient cannot consistently hold the breath at the same position, the acquired image stack will be affected by inter-slice respirator... View more
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