Paper
24 May 1995 Motion correction for the automated analysis of functional MR studies
Delphine Le, Frederique Frouin, Grigor Kotzev, Robert Di Paola
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Abstract
An automated method based on maximizing a 2D correlation coefficient between images is proposed to realign consecutive images obtained in functional MR image sequences. Dynamic Gadolinium-enhanced osteosarcoma studies are analyzed to study the influence of interframe motion and assess the registration method. The alignment procedure is evaluated by subtraction of the pre-injection image and by factor analysis of medical image sequences. The effect of motion correction is demonstrated by both techniques and the correlation method is compared to a procedure based on external markers.
© (1995) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Delphine Le, Frederique Frouin, Grigor Kotzev, and Robert Di Paola "Motion correction for the automated analysis of functional MR studies", Proc. SPIE 2433, Medical Imaging 1995: Physiology and Function from Multidimensional Images, (24 May 1995); https://doi.org/10.1117/12.209697
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CITATIONS
Cited by 3 scholarly publications.
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KEYWORDS
Image registration

Magnetic resonance imaging

Motion estimation

Motion analysis

Image processing

Factor analysis

Tissues

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