Comparing MR image intensity standardization against tissue characterizability of magnetization transfer ratio imaging

被引:19
作者
Madabhushi, Anant
Udupa, Jayaram K.
Moonis, Gul
机构
[1] Univ Penn, Dept Radiol, Med Image Proc Grp, Philadelphia, PA 19104 USA
[2] Univ Penn, Div Neuroradiol, Philadelphia, PA 19104 USA
[3] Rutgers State Univ, Dept Biomed Engn, New Brunswick, NJ 08903 USA
关键词
intensity standardization; standardness; MTR; image processing; tissue characterizability;
D O I
10.1002/jmri.20658
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Purpose: To evaluate existing methods of standardization by exploiting the well-known tissue characterizing property of magnetization transfer ratio (MTR) values obtained from MT imaging. and compare the tissue characterizability of standardized T2, proton density (PD). and TI images against the MTR images. Materials and Methods: Image intensity standardization is a postprocessing method that was designed to correct for acquisition-to-acquisition signal intensity variations (non-standardness) inherent in magnetic resonance (MR) images. The main idea of this technique is to deform the volume image histogram of each study to match a standard histogram, and to utilize the resulting transformations to map the image intensities into a standard scale. The method has been shown to produce a significant gain in similarity of resulting images and to achieve numeric tissue characterization. In this work we compared PD-. T2-, and T1-weighted images before and after standardization with the corresponding MT images for 10 patient MRI studies of the brain, in terms of the normalized median values on the corresponding image histograms. Results: No statistically significant difference was observed between the standardized PD-, T2-, and T1-weighted images and the corresponding MTR images. However, a statistically significant difference was found between the pre- and poststandardized PD-, n-, and T1-weighted images, and between the prestandardized PD-, T2-, and T1-weighted images and the corresponding MTR images. Conclusion: These results suggest that standardized T2, PD, and TI images and their tissue-specific intensity signatures may be useful for characterizing disease.
引用
收藏
页码:667 / 675
页数:9
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