An Automatic Brain Alignment Tool

The location, size and shape of Multiple Sclerosis (MS) lesions are often used to diagnose and track disease progression. In order to effectively compare lesions in MRI stacks for the same patient imaged at intervals, these stacks must be aligned. This automatic alignment method was designed to minimize modification of segmented pixel values. The aligned lesion stacks can be browsed independently or in tandem. This should provide a valuable tool for computer-aided diagnosis and disease tracking.

[1]  R. Kikinis,et al.  Quantitative follow‐up of patients with multiple sclerosis using MRI: Technical aspects , 1999, Journal of magnetic resonance imaging : JMRI.

[2]  A J Thompson,et al.  Survey of the distribution of lesion size in multiple sclerosis: implication for the measurement of total lesion load , 1997, Journal of neurology, neurosurgery, and psychiatry.

[3]  Zhengrong Liang,et al.  Quantitative analysis of multiple sclerosis: a feasibility study , 2006, SPIE Medical Imaging.

[4]  H Azhari,et al.  Automated detection and characterization of multiple sclerosis lesions in brain MR images. , 1998, Magnetic resonance imaging.

[5]  Zhengrong Liang,et al.  Parameter estimation and tissue segmentation from multispectral MR images , 1994, IEEE Trans. Medical Imaging.

[6]  R Kikinis,et al.  Automatic identification of gray matter structures from MRI to improve the segmentation of white matter lesions. , 1995, Journal of image guided surgery.

[7]  W. Raub From the National Institutes of Health. , 1990, JAMA.

[8]  M. Stella Atkins,et al.  Visualization of time-varying MRI data for MS lesion analysis , 2001, SPIE Medical Imaging.

[9]  H. Azhari,et al.  Three‐dimensional analysis of the geometry of individual multiple sclerosis lesions: Detection of shape changes over time using spherical harmonics , 2003, Journal of magnetic resonance imaging : JMRI.

[10]  Jagath C. Rajapakse,et al.  Statistical approach to segmentation of single-channel cerebral MR images , 1997, IEEE Transactions on Medical Imaging.

[11]  R. Kikinis,et al.  The evolution of multiple sclerosis lesions on serial MR. , 1995, AJNR. American journal of neuroradiology.