Hierarchical K-means Clustering for MRI Lung Imaging

This code performs hierarchical k-means clustering for MRI lung imaging analysis
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Updated 26 Jul 2024

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This code performs hierarchical k-means clustering method according to the method interpreted and adapted from the method described by Kirby et al 2012 (Hyperpolarized 3He Magnetic Resonance Functional Imaging Semiautomated Segmentation) and was developed as part of a suite of image analysis codes between February-May 2024. Suitable for PREFUL image and contrast agent-based e.g. helium MRI image analysis. Please apply with Matlab Image Processing and Mapping Toolboxes.
N.B. The k-means function currently does not sort the centroid clusters. Please add a script to do this after each round of clustering (hint: sort function and a simple for loop) or contact the author for the solution.

Cite As

Christine Poon (2024). Hierarchical K-means Clustering for MRI Lung Imaging (https://www.mathworks.com/matlabcentral/fileexchange/168256-hierarchical-k-means-clustering-for-mri-lung-imaging), MATLAB Central File Exchange. Retrieved .

MATLAB Release Compatibility
Created with R2023b
Compatible with any release
Platform Compatibility
Windows macOS Linux
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Version Published Release Notes
1.0.2

Updated description regarding cluster sorting and to clarify the timeframe over which the code was developed

1.0.1

Updated description

1.0.0