Investigation of time-dependency of intracranial brain shift and its relation to the extent of tumor removal using intra-operative MRI

The object of the paper is to investigate intra-operative brainshift and its relation to the extent of tumor removal. Repeated T1w 3D datasets were acquired at different time points intra-operatively (T 0 ; T 1 ; T 2 ... T x ) using a vertical open 0.5T MR scanner in six patients with intracranial t...

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Bibliographic Details
Published in:Neurological research (New York) 2003-01, Vol.25 (1), p.9-12
Main Authors: Trantakis, Christos, Tittgemeyer, Marc, Schneider, Jens-Peter, Lindner, Dirk, Winkler, Dirk, Strauß, Gero, Meixensberger, Jürgen
Format: Article
Language:English
Subjects:
Adult
Aged
BIOMECHANICAL HEAD MODEL
Brain Mapping
Brain Neoplasms - diagnostic imaging
Brain Neoplasms - surgery
BRAIN SHIFT
Female
Humans
Image Processing, Computer-Assisted - methods
INTRA-OPERATIVE IMAGING
Intraoperative Period
Magnetic Resonance Imaging
Male
Middle Aged
Radiography
VECTOR FIELD
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Summary:The object of the paper is to investigate intra-operative brainshift and its relation to the extent of tumor removal. Repeated T1w 3D datasets were acquired at different time points intra-operatively (T 0 ; T 1 ; T 2 ... T x ) using a vertical open 0.5T MR scanner in six patients with intracranial tumor. An offline analysis with initial linear registration, intensity adjustment and finally nonlinear registration of the first versus subsequent time points (T 0 /T 1 ; T 0 /T 2 ... T 0 /T x ) was performed, yielding a 3D displacement vector field that describes the brainshift. Brainshift was analysed qualitatively and quantitatively. A semi-automatic segmentation technique was used for calculation of the tumor size and the size of tumor remnants. Semi-automatic segmentation was reliable in all but two cases. Segmentation was difficult and unreliable in astrocytomas grade II. The shift basically followed gravity. The major shift reached levels up to 25 mm. Significant shift was observed at the first time point (T 0 ). Intra-operative brainshift can be analysed qualitatively and also captured quantitatively. Neuronavigation that is based on pre-operatively acquired datasets is associated with a significant risk of surgical morbidity at a very early time point. Parallelisation on a workstation cluster may reduce computation time so that information about the displacement can facilitate updated navigation.
ISSN:0161-6412
1743-1328
DOI:10.1179/016164103101200923