Model-based compressive diffusion tensor imaging

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

9 Citations (Scopus)

Abstract

Diffusion tensor imaging (DTI) is a Magnetic Resonance Imaging (MRI) technique that can reveal in vivo tissue microstructure by measuring diffusion of water in tissue. DTI has become an important tool in many clinical applications, such as assessment of white matter maturation, locating white matter lesions, and providing anatomical connectivity information. However, DTI usually requires long examination times due to the repetitive nature of the acquisition and is very sensitive to motion. These drawbacks have become the largest obstacles to full utilization of DTI. In this work, we propose to overcome these obstacles by using a model-based compressive imaging approach. Our approach consist of models to efficiently represent diffusion-encoded images and the corresponding recovery schemes based on compressive sensing (CS) principles. Our results indicate that the proposed model-based approach can allow reliable recovery of DTI signal from undersampled measurements and outperforms conventional CS recovery.

Original languageEnglish (US)
Title of host publicationProceedings - International Symposium on Biomedical Imaging
Pages254-257
Number of pages4
DOIs
StatePublished - 2011
Event2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11 - Chicago, IL, United States
Duration: Mar 30 2011Apr 2 2011

Other

Other2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11
CountryUnited States
CityChicago, IL
Period3/30/114/2/11

Fingerprint

Diffusion tensor imaging
Diffusion Tensor Imaging
Recovery
Tissue
Magnetic Resonance Imaging
Imaging techniques
Microstructure
Water

Keywords

  • Compressive sensing
  • DTI

ASJC Scopus subject areas

  • Biomedical Engineering
  • Radiology Nuclear Medicine and imaging

Cite this

Pu, L., Trouard, T. P., Ryan, L., Huang, C., Altbach, M. I., & Bilgin, A. (2011). Model-based compressive diffusion tensor imaging. In Proceedings - International Symposium on Biomedical Imaging (pp. 254-257). [5872400] https://doi.org/10.1109/ISBI.2011.5872400

Model-based compressive diffusion tensor imaging. / Pu, Lingling; Trouard, Theodore P.; Ryan, Lee; Huang, Chuan; Altbach, Maria I.; Bilgin, Ali.

Proceedings - International Symposium on Biomedical Imaging. 2011. p. 254-257 5872400.

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

Pu, L, Trouard, TP, Ryan, L, Huang, C, Altbach, MI & Bilgin, A 2011, Model-based compressive diffusion tensor imaging. in Proceedings - International Symposium on Biomedical Imaging., 5872400, pp. 254-257, 2011 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, ISBI'11, Chicago, IL, United States, 3/30/11. https://doi.org/10.1109/ISBI.2011.5872400
Pu L, Trouard TP, Ryan L, Huang C, Altbach MI, Bilgin A. Model-based compressive diffusion tensor imaging. In Proceedings - International Symposium on Biomedical Imaging. 2011. p. 254-257. 5872400 https://doi.org/10.1109/ISBI.2011.5872400
Pu, Lingling ; Trouard, Theodore P. ; Ryan, Lee ; Huang, Chuan ; Altbach, Maria I. ; Bilgin, Ali. / Model-based compressive diffusion tensor imaging. Proceedings - International Symposium on Biomedical Imaging. 2011. pp. 254-257
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