Multiple sclerosis (MS) causes progressive disability due to tissue damage in the central nervous system. Many aspects of MS pathogenesis are not well understood. Magnetic resonance imaging (MRI) provides a window to observe MS pathology in-vivo, but standard methods of MRI are not specific enough to provide a complete picture of disease progression. Accurate and precise image analysis tools are required to be able to track MS disease processes in individuals over time. The main goals of our research are to: (1) Develop software to automatically perform reliable measurements from brain MRIs; (2) Investigate new imaging and analysis methods for quantification of specific MS pathologic processes; and (3) Apply these new measurement techniques in MS patients to improve understanding of the disease. The new methods for quantitative MRI analysis developed in our lab are tested both in MS patients to determine clinical correlations, and in post-mortem brain tissue to determine pathologic correlations. A major focus of our work has been the measurement and characterization of brain atrophy in MS. We have been following a group of patients and controls for 6-15 years in order to gain insight on the pathologic mechanisms of irreversible tissue destruction in MS brains. We envision that this research will not only lead to a better understanding of irreversible tissue destruction in MS, but also that the new MRI analysis techniques may be beneficial for evaluating new drug therapies, monitoring patients, and predicting long-term disease severity.
Our objective is to develop new methods for analysis of brain MRIs to gain a better understanding of multiple sclerosis (MS). MS is an autoimmune disease that affects the brain and spinal cord and causes progressive disability. Brain MRIs show regions that have been damaged by MS inflammatory attacks. Neurologists often use MRI to help with diagnosis, to assess disease progression, and to decide whether specific therapies are working. However, standard MRIs are difficult to interpret because there are several different types of tissue damage that all appear the same, plus there are some types of tissue damage that cannot be seen at all. One example is tissue loss, or brain atrophy, which happens too slowly to be seen by eye, so specialized image analysis software is needed to measure it. Another example is that although MS affects both tissue types, white matter and gray matter, only white matter lesions can be seen on standard MRIs. Current methods only provide a partial picture of MS. Therefore, we are interested in developing techniques to distinguish and quantify the different MS pathologic processes, to accurately measure small changes over time, and to assess damage in gray matter as well as in white matter. These new tools will not only help us understand MS better, but they can help the doctors make treatment decisions with their patients and they can help pharmaceutical companies determine if new drugs are effective.
|US Patent||Patent Title||Issue Date||First-Named Inventor|
|6,366,797||Method and System for Brain Volume Analysis||4/2/2002||Elizabeth Fisher|
Fisher E, Lee J-C, Nakamura K, Rudick R. Gray matter atrophy in multiple sclerosis: a longitudinal study. Annals of Neurology 64:255-265. 2008.
Rudick RA, Lee JC, Fisher E. Gray matter atrophy and disability in multiple sclerosis. Journal of Neurological Sciences 282:106-111, 2009.
Nakamura K, Fox RJ, Fisher E. CLADA: Cortical Longitudinal Atrophy Detection Algorithm. NeuroImage 54(1):278-89. 2011.
Moll NM, Rietsch AM, Thomas S, Ransohoff AJ, Lee JC, Chang A, Fox RJ, Ransohoff RM, Fisher E. Multiple Sclerosis Normal-Appearing White Matter: Pathology-Imaging Correlations. Ann Neurol (in press) 2011.