Two and three-dimensional segmentation of hyperpolarized 3He magnetic resonance imaging of pulmonary gas distribution

Mohammadreza Heydarian; Miranda Kirby; Andrew Wheatley; Aaron Fenster; Grace Parraga

doi:10.1117/12.910907

5 April 2012 Two and three-dimensional segmentation of hyperpolarized ³He magnetic resonance imaging of pulmonary gas distribution

Mohammadreza Heydarian, Miranda Kirby, Andrew Wheatley, Aaron Fenster, Grace Parraga

Author Affiliations +

Proceedings Volume 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging; 83171C (2012) https://doi.org/10.1117/12.910907
Event: SPIE Medical Imaging, 2012, San Diego, California, United States

Abstract

A semi-automated method for generating hyperpolarized helium-3 (³He) measurements of individual slice (2D) or whole lung (3D) gas distribution was developed. ³He MRI functional images were segmented using two-dimensional (2D) and three-dimensional (3D) hierarchical K-means clustering of the ³He MRI signal and in addition a seeded region-growing algorithm was employed for segmentation of the ¹H MRI thoracic cavity volume. ³He MRI pulmonary function measurements were generated following two-dimensional landmark-based non-rigid registration of the ³He and ¹H pulmonary images. We applied this method to MRI of healthy subjects and subjects with chronic obstructive lung disease (COPD). The results of hierarchical K-means 2D and 3D segmentation were compared to an expert observer's manual segmentation results using linear regression, Pearson correlations and the Dice similarity coefficient. 2D hierarchical K-means segmentation of ventilation volume (VV) and ventilation defect volume (VDV) was strongly and significantly correlated with manual measurements (VV: r=0.98, p<.0001; VDV: r=0.97, p<.0001) and mean Dice coefficients were greater than 92% for all subjects. 3D hierarchical K-means segmentation of VV and VDV was also strongly and significantly correlated with manual measurements (VV: r=0.98, p<.0001; VDV: r=0.64, p<.0001) and the mean Dice coefficients were greater than 91% for all subjects. Both 2D and 3D semi-automated segmentation of ³He MRI gas distribution provides a way to generate novel pulmonary function measurements.

Citation Download Citation

Mohammadreza Heydarian, Miranda Kirby, Andrew Wheatley, Aaron Fenster, and Grace Parraga "Two and three-dimensional segmentation of hyperpolarized ³He magnetic resonance imaging of pulmonary gas distribution", Proc. SPIE 8317, Medical Imaging 2012: Biomedical Applications in Molecular, Structural, and Functional Imaging, 83171C (5 April 2012); https://doi.org/10.1117/12.910907

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