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During a fetal ultrasound scan, a sonographer will zoom in and zoom out as they attempt to get clearer images of the anatomical structures of interest. This paper explores how to use this zoom information which is an under-utilised piece of information that is extractable from fetal ultrasound images. We explore associating zooming patterns to specific structures. The presence of such patterns would indicate that each individual anatomical structure has a unique signature associated with it, thereby allowing for classification of fetal ultrasound clips without directly reading the actual fetal ultrasound images in a convolutional neural network.

Original publication

DOI

10.1007/978-3-031-72083-3_73

Type

Chapter

Publication Date

06/10/2024

Volume

15004

Pages

786 - 795

Keywords

Fetal Ultrasound, Magnification, Zoom