Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps

Budd S, Sinclair M, Day TG, Vlontzos A, Tan J, Liu T, Matthew J, Skelton E, Simpson JM, Razavi R, Glocker B, Rueckert D, Robinson EC, Kainz B (2021)

Publication Language: English

Publication Status: Published

Publication Type: Authored book, Volume of book series

Publication year: 2021

Publisher: Springer Science and Business Media Deutschland GmbH

Pages Range: 207-217

ISBN: 9783030872335

DOI: 10.1007/978-3-030-87234-2_20

Open Access Link: https://arxiv.org/abs/2107.02643

Abstract

Fetal ultrasound screening during pregnancy plays a vital role in the early detection of fetal malformations which have potential long-term health impacts. The level of skill required to diagnose such malformations from live ultrasound during examination is high and resources for screening are often limited. We present an interpretable, atlas-learning segmentation method for automatic diagnosis of Hypo-plastic Left Heart Syndrome (HLHS) from a single ‘4 Chamber Heart’ view image. We propose to extend the recently introduced Image-and-Spatial Transformer Networks (Atlas-ISTN) into a framework that enables sensitising atlas generation to disease. In this framework we can jointly learn image segmentation, registration, atlas construction and disease prediction while providing a maximum level of clinical interpretability compared to direct image classification methods. As a result our segmentation allows diagnoses competitive with expert-derived manual diagnosis and yields an AUC-ROC of 0.978 (1043 cases for training, 260 for validation and 325 for testing).

Authors with CRIS profile

Bernhard Kainz Professur für Image Data Exploration and Analysis

Involved external institutions

Imperial College London / The Imperial College of Science, Technology and Medicine GB United Kingdom (GB) King’s College London GB United Kingdom (GB)

How to cite

APA:

Budd, S., Sinclair, M., Day, T.G., Vlontzos, A., Tan, J., Liu, T.,... Kainz, B. (2021). Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. Springer Science and Business Media Deutschland GmbH.

MLA:

Budd, Samuel, et al. Detecting Hypo-plastic Left Heart Syndrome in Fetal Ultrasound via Disease-Specific Atlas Maps. Springer Science and Business Media Deutschland GmbH, 2021.

BibTeX: Download