Abstract #0062

ICA-enabled oxygen-enhanced MRI (OE-MRI) correlates with pulmonary function tests in cystic fibrosis

Sarah H. Needleman¹, Mina Kim¹, Jamie R. McClelland¹, Marta Tibiletti², Christopher Short^3,4,5, Thomas Semple^3,4, Jane C. Davies^3,4,5, and Geoff J. M. Parker^1,2

¹Centre for Medical Image Computing (CMIC), Department of Medical Physics & Biomedical Engineering, University College London, London, United Kingdom, ²Bioxydyn Limited, Manchester, United Kingdom, ³National Heart & Lung Institute, Imperial College London, London, United Kingdom, ⁴Royal Brompton Hospital, Guy's & St Thomas' Trust, London, United Kingdom, ⁵European CF Society Lung Clearance Index Core Facility, London, United Kingdom

Synopsis

Keywords: Lung, Data Processing

Motivation: There is a clinical need for non-ionising methods to assess heterogeneous lung function in cystic fibrosis (CF). Dynamic oxygen-enhanced MRI (OE-MRI) can assess regional lung function, however OE-MRI analysis is impaired by confounding signals and poor SNR.

Goal(s): To evaluate the sensitivity of OE-MRI measures to the lung clearance index (LCI) in CF, with and without independent component analysis (ICA) to reduce noise.

Approach: We used ICA to reduce noise in the OE-MRI measures. We evaluated the correlation between OE-MRI measures, LCI, and pulmonary function tests.

Results: OE-MRI measures demonstrated significant correlation with LCI. OE-MRI measures extracted using ICA displayed clear oxygen-enhancement responses.

Impact: Dynamic lung OE-MRI measures extracted using independent component analysis (ICA) exhibited significant correlation with lung clearance index (LCI_2.5) in cystic fibrosis (CF) patients, suggesting a potential application of ICA-extracted OE-MRI measures to assess regional disease severity in CF.

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