Multispectral analysis and visualization of multiple sclerosis lesions in MR volumes of the brain

Ross Mitchell; Stephen J. Karlik; Donald H. Lee M.D.; Aaron Fenster

doi:10.1117/12.154530

14 September 1993 Multispectral analysis and visualization of multiple sclerosis lesions in MR volumes of the brain

Ross Mitchell, Stephen J. Karlik, Donald H. Lee M.D., Aaron Fenster

Proceedings Volume 1898, Medical Imaging 1993: Image Processing; (1993) https://doi.org/10.1117/12.154530
Event: Medical Imaging 1993, 1993, Newport Beach, CA, United States

Abstract

MRI is a valuable tool in the diagnosis of multiple sclerosis (MS). Standard MR protocols for imaging MS produce proton density (PD) and T2 weighted images of the same slice in the brain. While these image pairs provide valuable information about MS lesions, they are two dimensional (2-D) while lesions are three dimensional (3-D). Furthermore, the vast amount of data produced in an MR exam for MS makes routine analysis and comparison of the image pairs difficult. Therefore, we have developed a computerized system which employs multi- spectral analysis techniques to allow interactive 3-D analysis of MR data by radiologists and neurologists. We have used our system to classify and analyze four MR exams of a chronic- progressive MS patient taken over an 18 month period. Comparison of volume renderings of classified white matter, grey matter and MS lesions at each exam date provide information about the changes in individual lesions, and total lesion burden. Analysis of the intensity distributions of large MS lesions reveals that they have a wide range of PD/T2 weighted intensities, and some contain a higher PD/longer T2 'core' perhaps corresponding to edema.

Citation Download Citation

Ross Mitchell, Stephen J. Karlik, Donald H. Lee M.D., and Aaron Fenster "Multispectral analysis and visualization of multiple sclerosis lesions in MR volumes of the brain", Proc. SPIE 1898, Medical Imaging 1993: Image Processing, (14 September 1993); https://doi.org/10.1117/12.154530

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