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Proceedings Paper

Learning-based scan plane identification from fetal head ultrasound images
Author(s): Xiaoming Liu; Pavan Annangi; Mithun Gupta; Bing Yu; Dirk Padfield; Jyotirmoy Banerjee; Kajoli Krishnan
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Paper Abstract

Acquisition of a clinically acceptable scan plane is a pre-requisite for ultrasonic measurement of anatomical features from B-mode images. In obstetric ultrasound, measurement of gestational age predictors, such as biparietal diameter and head circumference, is performed at the level of the thalami and cavum septum pelucidi. In an accurate scan plane, the head can be modeled as an ellipse, the thalami looks like a butterfly, the cavum appears like an empty box and the falx is a straight line along the major axis of a symmetric ellipse inclined either parallel to or at small angles to the probe surface. Arriving at the correct probe placement on the mother's belly to obtain an accurate scan plane is a task of considerable challenge especially for a new user of ultrasound. In this work, we present a novel automated learning-based algorithm to identify an acceptable fetal head scan plane. We divide the problem into cranium detection and a template matching to capture the composite "butterfly" structure present inside the head, which mimics the visual cues used by an expert. The algorithm uses the stateof- the-art Active Appearance Models techniques from the image processing and computer vision literature and tie them to presence or absence of the inclusions within the head to automatically compute a score to represent the goodness of a scan plane. This automated technique can be potentially used to train and aid new users of ultrasound.

Paper Details

Date Published: 24 February 2012
PDF: 6 pages
Proc. SPIE 8320, Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy, 83200A (24 February 2012); doi: 10.1117/12.911516
Show Author Affiliations
Xiaoming Liu, GE Global Research (United States)
Pavan Annangi, GE Global Research (India)
Mithun Gupta, GE Global Research (India)
Bing Yu, GE Global Research (United States)
Dirk Padfield, GE Global Research (United States)
Jyotirmoy Banerjee, GE Global Research (India)
Kajoli Krishnan, GE Global Research (India)


Published in SPIE Proceedings Vol. 8320:
Medical Imaging 2012: Ultrasonic Imaging, Tomography, and Therapy
Johan G. Bosch; Marvin M. Doyley, Editor(s)

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