Paper
12 April 2005 Update of diagnostic preoperative images using low-field interventional MRI for navigation in neurosurgery: rigid-body registration
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Abstract
This study looks into the rigid-body registration of pre-operative anatomical high field and interventional low field magnetic resonance images (MRI). The accurate 3D registration of these modalities is required to enhance the content of interventional images with anatomical (CT, high field MRI, DTI), functional (DWI, fMRI, PWI), metabolic (PET) or angiography (CTA, MRA) pre-operative images. The specific design of the interventional MRI scanner used in the present study, a PoleStar N20, induces image artifacts, such as ellipsoidal masking and intensity inhomogeneities, which affect registration performance. On MRI data from eleven patients, who underwent resection of a brain tumor, we quantitatively evaluated the effects of artifacts in the image registration process based on a normalized mutual information (NMI) metric criterion. The results show that the quality of alignment of pre-operative anatomical and interventional images strongly depends on pre-processing carried out prior to registration. The registration results scored the highest in visual evaluation only if intensity variations and masking were considered in image registration. We conclude that the alignment of anatomical high field MRI and PoleStar interventional images is the most accurate when the PoleStar's induced image artifacts are corrected for before registration.
© (2005) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Martin Kavec, David Wikler, Christophe L. M. Phillips, Lara M. Vigneron, Marc Levivier, and Jacques G. Verly "Update of diagnostic preoperative images using low-field interventional MRI for navigation in neurosurgery: rigid-body registration", Proc. SPIE 5744, Medical Imaging 2005: Visualization, Image-Guided Procedures, and Display, (12 April 2005); https://doi.org/10.1117/12.597977
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CITATIONS
Cited by 2 scholarly publications.
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KEYWORDS
Image registration

Magnetic resonance imaging

Brain

Tissues

Neuroimaging

Surgery

Medical imaging

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