General and efficient super-resolution method for multi-slice MRI

• Published in: Medical image computing and computer-assisted intervention : MICCAI ... International Conference on Medical Image Computing and Computer-Assisted Intervention Vol. 13; no. Pt 1; p. 615
• Main Authors: Poot, D H J, Van Meir, V, Sijbers, J
• Format: Journal Article
• Language: English
• Published: Germany 2010
• Subjects: Algorithms; Anatomy, Cross-Sectional - methods; Image Enhancement - methods; Image Interpretation, Computer-Assisted - methods; Imaging, Three-Dimensional - methods; Magnetic Resonance Imaging - methods; Reproducibility of Results; Sensitivity and Specificity
• DOI: 10.1007/978-3-642-15705-9_75

In this paper, a method is developed that reconstructs a high resolution image from an arbitrary set of multi-slice 3D MR images with a high in-plane resolution and a low through-plane resolution. Such images are often recorded to increase the efficiency of the acquisition. With a model of the acquisition of MR images, which is improved compared to previous super-resolution methods for MR images, a large system with linear equations is obtained. With the conjugated gradient method and this linear system, a high resolution image is reconstructed from MR images of an object. Also, a new and efficient method to apply an affine transformation to multi-dimensional images is presented. This method is used to efficiently reconstruction the high resolution image from multislice MR images with arbitrary orientations of the slices.