Abstract
Marianna Nagy*1, Csaba Aranyi2, Gábor Opposits2, Levente Lánczi1, Tamás Papp1, Mária Kern1, Tamás Spisák3, Ervin Berényi1 and Miklós Emri2 Author Affiliations 1Department of Medical Imaging, Division of Radiology and Imaging Science, Hungary 2Department of Medical Imaging, Division of Nuclear Medicine and Translational Imaging, Hungary 3Department of Neurology, Essen, Germany Received: August 13, 2020 | Published: August 21, 2020 Corresponding author: Marianna Nagy, Division of Radiology and Imaging Science, Department of Medical Imaging, Faculty of Medicine, 4032 Debrecen, Nagyerdei krt 98, Hungary DOI: 10.26717/BJSTR.2020.29.004842
Highlights
The application of brain atlas technique is not evident in the post-processing of MR images in patients with intracranial spaceoccupying lesions since brain structures are shifted due to the mass effect of the lesion or the treatment-induced structural distortions [1,2]
We have a method for optimizing a brain atlas technique for clinical applications
Our results showed that the most accurate standardization methods are FMRIB Software Library (FSL) and SPM12 with default settings based on the processing of the data of 53 persons (Figures 5-8)
Summary
The application of brain atlas technique is not evident in the post-processing of MR images in patients with intracranial spaceoccupying lesions since brain structures are shifted due to the mass effect of the lesion or the treatment-induced structural distortions [1,2]. Cuadra et al [6] examined the spatial normalization of MR images in patients with brain tumors in a common stereotactic space. In patients with intracranial injuries the application of brain atlas technique is not evident in post-processing of MR images, since anatomical parts of the brain are shifted due to the mass effect of the lesion or the treatment-induced structural distortions. The quantitative characterization of the distortion effects can help the optimization of spatial alignment
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