Intensity standardization of longitudinal images using 4D clustering

Qing He, Navid Shiee, Daniel S. Reich, Peter Calabresi, Dzung L. Pham

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Longitudinal magnetic resonance (MR) images of the same subject often vary significantly in their overall contrast. Intensity standardization aims to minimize the inter-scan intensity variations by transforming the intensities into a standard gray scale, but true anatomical changes over time are often masked out. We propose an intensity standardization method based on four dimensional Fuzzy C-means (FCM) clustering over longitudinal images. Assuming that the images in the longitudinal series of the same subject have been spatially aligned, our method tries to find for each image a piecewise linear intensity transformation function that minimizes the 4D energy function. The performance of our method is evaluated through the volume measurements of the tissue segmentation. Results show that our method can minimize the scanner induced intensity variation among longitudinal images, while preserving intensity variations caused by anatomical changes.

Original languageEnglish (US)
Title of host publicationProceedings - International Symposium on Biomedical Imaging
Pages1388-1391
Number of pages4
DOIs
StatePublished - 2013
Event2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013 - San Francisco, CA, United States
Duration: Apr 7 2013Apr 11 2013

Other

Other2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013
CountryUnited States
CitySan Francisco, CA
Period4/7/134/11/13

Fingerprint

Standardization
Cluster Analysis
Volume measurement
Magnetic resonance
Tissue
Magnetic Resonance Spectroscopy

Keywords

  • fuzzy c-means
  • Intensity standardization
  • longitudinal images

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

He, Q., Shiee, N., Reich, D. S., Calabresi, P., & Pham, D. L. (2013). Intensity standardization of longitudinal images using 4D clustering. In Proceedings - International Symposium on Biomedical Imaging (pp. 1388-1391). [6556792] https://doi.org/10.1109/ISBI.2013.6556792

Intensity standardization of longitudinal images using 4D clustering. / He, Qing; Shiee, Navid; Reich, Daniel S.; Calabresi, Peter; Pham, Dzung L.

Proceedings - International Symposium on Biomedical Imaging. 2013. p. 1388-1391 6556792.

Research output: Chapter in Book/Report/Conference proceedingConference contribution

He, Q, Shiee, N, Reich, DS, Calabresi, P & Pham, DL 2013, Intensity standardization of longitudinal images using 4D clustering. in Proceedings - International Symposium on Biomedical Imaging., 6556792, pp. 1388-1391, 2013 IEEE 10th International Symposium on Biomedical Imaging: From Nano to Macro, ISBI 2013, San Francisco, CA, United States, 4/7/13. https://doi.org/10.1109/ISBI.2013.6556792
He Q, Shiee N, Reich DS, Calabresi P, Pham DL. Intensity standardization of longitudinal images using 4D clustering. In Proceedings - International Symposium on Biomedical Imaging. 2013. p. 1388-1391. 6556792 https://doi.org/10.1109/ISBI.2013.6556792
He, Qing ; Shiee, Navid ; Reich, Daniel S. ; Calabresi, Peter ; Pham, Dzung L. / Intensity standardization of longitudinal images using 4D clustering. Proceedings - International Symposium on Biomedical Imaging. 2013. pp. 1388-1391
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