HOME HELP FEEDBACK SUBSCRIPTIONS ARCHIVE SEARCH TABLE OF CONTENTS		QUICK SEARCH:   [advanced] Author: Keyword(s): Year:  Vol:  Page:

This Article Full Text Full Text (PDF) Alert me when this article is cited Alert me if a correction is posted Services Similar articles in this journal Similar articles in PubMed Alert me to new issues of the journal Download to citation manager Citing Articles Citing Articles via HighWire Citing Articles via Google Scholar Google Scholar Articles by KURMIS, A. P. Articles by FAZZALARI, N. L. Search for Related Content PubMed PubMed Citation Articles by KURMIS, A. P. Articles by FAZZALARI, N. L.

A MnCl₂-based MR Signal Intensity Linear Response Phantom

Purpose This study aimed to develop a manganese chloride (MnCl₂)-based phantom model that would allow progressive quantitative assessment of tissue hydration based on observed magnetic resonance (MR) imaging signal intensity (SI) linearity characteristics.

Materials and Methods The study was performed using a progressive signal refinement technique that allowed development of an imaging tool for semiquantitative sequential discrimination of MR signal responses. A series of 82 phantoms comprising a gelatin-set MnCl₂ composite were imaged under basic T1- and T2-weighted conditions. MR SI measurements were taken using region-of-interest selection, and MnCl₂ concentrations were adjusted to allow development of a pair of 8-tube phantoms. These phantoms permitted progressive incremental assessment of hydration based on fundamental MR SI response.

Results Statistical analysis showed that phantom MR signal response linearity can be achieved using the phantoms described under both T1 and T2 imaging conditions, yielding R² values of 0.97 and 0.94, respectively.

Conclusion This novel MnCl₂-based phantom can be used as a noninvasive reference standard for quantitative classification of in vivo tissue hydration based on routine clinical MR imaging sequences. Progressive correlation testing using a human cartilage sample should be performed to further refine the model for clinical application.

This article has been cited by other articles:

				A. P KURMIS, J. P SLAVOTINEK, C. BARBER, and N. L FAZZALARI Determining Disk Hydration Status With a MnCl2-based MR Model Radiol. Technol., July 1, 2008; 79(6): 507 - 513. [Abstract] [Full Text] [PDF]