Offset regression networks for view plane estimation in 3D fetal ultrasound

Alexander Schmidt-Richberg; Nicole Schadewaldt; Tobias Klinder; Matthias Lenga; Robert Trahms; Earl Canfield; David Roundhill; Cristian Lorenz

doi:10.1117/12.2512697

15 March 2019 Offset regression networks for view plane estimation in 3D fetal ultrasound

Alexander Schmidt-Richberg, Nicole Schadewaldt, Tobias Klinder, Matthias Lenga, Robert Trahms, Earl Canfield, David Roundhill, Cristian Lorenz

Author Affiliations +

Proceedings Volume 10949, Medical Imaging 2019: Image Processing; 109493K (2019) https://doi.org/10.1117/12.2512697
Event: SPIE Medical Imaging, 2019, San Diego, California, United States

Abstract

Ultrasound (US) is the modality of choice for fetal screening, which includes the assessment of a variety of standardized growth measurements, like the abdominal circumference (AC). Screening guidelines define criteria on the scan plane, in which the measurement is taken. As US is increasingly becoming a 3D modality, approaches for automated determination of the optimal scan plane in a volumetric dataset would greatly improve the workflow. In this work, a novel framework for deep hyperplane learning is proposed and applied for view plane estimation in fetal US examinations. The approach is tightly integrated in the clinical workflow and consists of two main steps. First, the bounding box around the structure of interest is determined in the central slice (MPR). Second, offsets from the structure in the bounding box to the optimal view plane are estimated. By linear regression through the estimated offsets, the view plane coordinates can then be determined. The presented approach is successfully applied on clinical screening data for AC plane estimation and a high accuracy is obtained, outperforming or comparable to recent publications on the same application.

Citation Download Citation

Alexander Schmidt-Richberg, Nicole Schadewaldt, Tobias Klinder, Matthias Lenga, Robert Trahms, Earl Canfield, David Roundhill, and Cristian Lorenz "Offset regression networks for view plane estimation in 3D fetal ultrasound", Proc. SPIE 10949, Medical Imaging 2019: Image Processing, 109493K (15 March 2019); https://doi.org/10.1117/12.2512697

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available