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Proceedings Paper

A novel local-phase method of automatic atlas construction in fetal ultrasound
Author(s): Sana Fathima; Sylvia Rueda; Aris Papageorghiou; J. Alison Noble
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Paper Abstract

In recent years, fetal diagnostics have relied heavily on clinical assessment and biometric analysis of manually acquired ultrasound images. There is a profound need for automated and standardized evaluation tools to characterize fetal growth and development. This work addresses this need through the novel use of feature-based techniques to develop evaluators of fetal brain gestation. The methodology is comprised of an automated database-driven 2D/3D image atlas construction method, which includes several iterative processes. A unique database was designed to store fetal image data acquired as part of the Intergrowth-21st study. This database drives the proposed automated atlas construction methodology using local phase information to perform affine registration with normalized mutual information as the similarity parameter, followed by wavelet-based image fusion and averaging. The unique feature-based application of local phase and wavelet fusion towards creating the atlas reduces the intensity dependence and difficulties in registering ultrasound images. The method is evaluated on fetal transthalamic head ultrasound images of 20 weeks gestation. The results show that the proposed method is more robust to intensity variations than standard intensity-based methods. Results also suggest that the feature-based approach improves the registration accuracy needed in creating a clinically valid ultrasound image atlas.

Paper Details

Date Published: 7 April 2011
PDF: 10 pages
Proc. SPIE 7962, Medical Imaging 2011: Image Processing, 79621A (7 April 2011); doi: 10.1117/12.878317
Show Author Affiliations
Sana Fathima, Univ. of Oxford (United Kingdom)
Sylvia Rueda, Univ. of Oxford (United Kingdom)
Aris Papageorghiou, Univ. of Oxford (United Kingdom)
J. Alison Noble, Univ. of Oxford (United Kingdom)


Published in SPIE Proceedings Vol. 7962:
Medical Imaging 2011: Image Processing
Benoit M. Dawant; David R. Haynor, Editor(s)

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