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Spatial registrationand normalization ofimages Karl FristonJohn AshburnerChris Frith1995 год

Spatial registration and normalization of images
статья из журнала

Страница публикацииПубликация в OpenAlex
Аннотация: Abstract This paper concerns the spatial and intensity transformations that map one image onto another. We present a general technique that facilitates nonlinear spatial (stereotactic) normalization and image realignment. This technique minimizes the sum of squares between two images following nonlinear spatial deformations and transformations of the voxel (intensity) values. The spatial and intensity transformations are obtained simultaneously, and explicitly, using a least squares solution and a series of linearising devices. The approach is completely noninteractive (automatic), nonlinear, and noniterative. It can be applied in any number of dimensions. Various applications are considered, including the realignment of functional magnetic resonance imaging (MRI) time‐series, the linear (affine) and nonlinear spatial normalization of positron emission tomography (PET) and structural MRI images, the coregistration of PET to structural MRI, and, implicitly, the conjoining of PET and MRI to obtain high resolution functional images. © 1995 Wiley‐Liss, Inc.
Год издания: 1995
Авторы: Karl Friston, John Ashburner, Chris Frith, Jean‐Baptiste Poline, J. D. Heather, R. S. J. Frackowiak
Издательство: Wiley
Источник: Human Brain Mapping
Ключевые слова: Medical Image Segmentation Techniques, Medical Imaging Techniques and Applications, Cell Image Analysis Techniques