Lehmann, ED; Hawkes, DJ; Hill, DL; Bird, CF; Robinson, GP; Colchester, AC; Maisey, MN; (1991) Computer-aided interpretation of SPECT images of the brain using an MRI-derived 3D neuro-anatomical atlas. MED INFORM (LOND) , 16 (307-7640 (Print), 2) 151 - 166.
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Nuclear medicine images have comparatively poor spatial resolution, making it difficult to relate the functional information which they contain to precise anatomical structures. A 3D neuro-anatomical atlas has been generated from the MRI data set of a normal, healthy volunteer to assist in the interpretation of nuclear medicine scans of the brain. Region growing and edge-detection techniques were used to semi-automatically segment the data set into the major tissue types within the brain. The atlas was then labelled interactively by marking points on each 2D slice. Anatomical structures useful in the interpretation of SPECT images were labelled. Additional, more detailed information corresponding to these structures is provided via an interactive index which allows access to images, diagrams and explanations. Registration of patient SPECT studies with the atlas is accomplished by using the position of the skull vertex and four external fiducial markers attached to the skin surface. The 3D coordinates determined from these points are used to calculate the transformation required to rotate, scale and translate the SPECT data, in 3D, to match the atlas. Corresponding 2D slices from the two 3D data sets are then displayed side-by-side on a computer screen. A cursor linking the two images allows the delineation of regions of interest (ROIs) in the SPECT scan based on anatomical structures identified from the atlas. Conversely regions of abnormal isotope distribution in the SPECT image can be localized by reference to corresponding structures in the atlas
|Title:||Computer-aided interpretation of SPECT images of the brain using an MRI-derived 3D neuro-anatomical atlas|
|Additional information:||DA - 19911115|
|Keywords:||Brain, anatomy & histology, radionuclide imaging, Humans, Magnetic Resonance Imaging, Radiographic Image Interpretation, Computer-Assisted, Reference Values, Research Support, Non-U.S.Gov't, Tomography, Emission-Computed, Single-Photon|
|UCL classification:||UCL > School of BEAMS > Faculty of Engineering Science > Medical Physics and Bioengineering|
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