Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation

Christopher Bowles, Chen Qin, Christian Ledig, Ricardo Guerrero, Roger Gunn, Alexander Hammers, Eleni Sakka, David Alexander Dickie, Maria Valdés Hernández, Natalie Royle, Joanna Wardlaw, Hanneke Rhodius-meester, Betty Tijms, Afina W. Lemstra, Wiesje Van Der Flier, Frederik Barkhof, Philip Scheltens, Daniel Rueckert

Research output: Chapter in Book/Report/Conference proceedingOther chapter contributionpeer-review

26 Citations (Scopus)
208 Downloads (Pure)

Abstract

White matter hyperintensities (WMH) seen on FLAIR images are established as a key indicator of Vascular Dementia (VD) and other pathologies. We propose a novel modality transformation technique to generate a subject-specific pathology-free synthetic FLAIR image from a T 11 -weighted image. WMH are then accurately segmented by comparing this synthesized FLAIR image to the actually acquired FLAIR image. We term this method Pseudo-Healthy Image Synthesis (PHI-Syn). The method is evaluated on data from 42 stroke patients where we compare its performance to two commonly used methods from the Lesion Segmentation Toolbox. We show that the proposed method achieves superior performance for a number of metrics. Finally, we show that the features extracted from the WMH segmentations can be used to predict a Fazekas lesion score that supports the identification of VD in a dataset of 468 dementia patients. In this application the automatically calculated features perform comparably to clinically derived Fazekas scores.
Original languageEnglish
Title of host publicationSimulation and Synthesis in Medical Imaging: First International Workshop, SASHIMI 2016, Held in Conjunction with MICCAI 2016, Athens, Greece, October 21, 2016, Proceedings
Pages87-96
DOIs
Publication statusE-pub ahead of print - 23 Sept 2016

Publication series

NameSimulation and Synthesis in Medical Imaging
Volume9968
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Fingerprint

Dive into the research topics of 'Pseudo-healthy Image Synthesis for White Matter Lesion Segmentation'. Together they form a unique fingerprint.

Cite this