Statistical normalization techniques for magnetic resonance imaging

• Published in: NeuroImage clinical Vol. 6; no. C; pp. 9 - 19
• Main Authors: Shinohara, Russell T., Sweeney, Elizabeth M., Goldsmith, Jeff, Shiee, Navid, Mateen, Farrah J., Calabresi, Peter A., Jarso, Samson, Pham, Dzung L., Reich, Daniel S., Crainiceanu, Ciprian M.
• Format: Journal Article
• Language: English
• Published: Netherlands Elsevier Inc 01.01.2014; Elsevier
• Subjects: Aged; Aged, 80 and over; Alzheimer Disease - diagnosis; Female; Humans; Image analysis; Image Processing, Computer-Assisted - standards; Image Processing, Computer-Assisted - statistics & numerical data; Magnetic resonance imaging; Magnetic Resonance Imaging - standards; Magnetic Resonance Imaging - statistics & numerical data; Male; Middle Aged; Multiple Sclerosis - diagnosis; Normalization; Radiology; Statistics; Image analysis; Normalization; Magnetic resonance imaging; Statistics

While computed tomography and other imaging techniques are measured in absolute units with physical meaning, magnetic resonance images are expressed in arbitrary units that are difficult to interpret and differ between study visits and subjects. Much work in the image processing literature on intens...