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[Correction of the physiological artefacts at pre-surgical clinical functional MR]
Máté Kiss1,2,3,4, Andor Viktor Gál1, Lajos Rudolf Kozák3
1Magyar Tudományos Akadémia, Természettudományi Kutatóközpont, Agyi Képalkotó Központ, Agyi Szerkezet és Dinamika Kutatócsoport, Budapest.
Background And Purpose:
Pre-surgical functional MRI (fMRI) is an important modality of examinations before brain surgery. There are several artefacts (e.g. motion, susceptibility) which may hinder the evaluation of fMRI data. Physiological artefacts (breathing, pulsation) also affect the sensitivity and specificity of anatomical localization. The aim of this study is to demonstrate the efficiency of physiological artefact identification and removal methods for presurgical evaluation.
Methods:
Siemens Magnetom Verio 3T MRI scanner was used to collect data. The physiological parameters (breathing, pulse) were recorded with the MRI system's built-in devices. Data from fourteen patients - with primary brain tumour - were evaluated with SPM12 utilizing the RETROICOR/RVHR tool to detect and decrease the effect of physiological artefacts. We compared the statistical maps obtained with and without the physiological correction using the Jaccard similarity coefficient, and ROI analyses.
Results:
Significant differences were found in the mean ROI values (p<0.0016) and the extensions of eloquent activations (p<0.0013), when using the physiological correction (RETORICOR/RVHR) based on convolution method. On the other hand, no significant differences were found between the ROIs' standard deviations (F=0.28). The RETROICOR/ RVHR method helps to define the precise localisation of eloquent areas (p<0.009). The number of irrelevant (non-significant) voxels were increased (p<0.001). .
Conclusion:
Minimising of physiological artefacts in fMRI data calculations, the (RETROICOR/RVHR) method based on convolution has been successfully adapted. This algorithm could be helpful before neurosurgical intervention. The activity pattern became more reliable.
Insights
Physiological artefact correction using RETROICOR/RVHR improves presurgical functional MRI (fMRI) by enhancing the localization of eloquent brain areas and increasing data reliability for neurosurgery.
Area of Science:
- Neuroimaging
- Medical Physics
- Radiology
Background:
- Presurgical functional MRI (fMRI) is crucial for brain surgery planning.
- Artefacts, including physiological ones from breathing and pulse, can impair fMRI data accuracy.
- Accurate localization of eloquent brain areas is vital for successful neurosurgical intervention.
Purpose of the Study:
- To demonstrate the effectiveness of physiological artefact identification and removal methods in presurgical fMRI.
- To evaluate the RETROICOR/RVHR tool for reducing physiological noise in fMRI data.
- To assess the impact of physiological correction on the precision of eloquent area localization.
Main Methods:
- Data acquired using a Siemens Magnetom Verio 3T MRI scanner.
- Physiological parameters (breathing, pulse) recorded concurrently with MRI acquisition.
- RETROICOR/RVHR tool implemented in SPM12 for artefact correction on fMRI data from 14 brain tumor patients.
- Comparison of statistical maps with and without correction using Jaccard similarity and ROI analyses.
Main Results:
- Physiological correction significantly improved mean ROI values (p<0.0016) and extensions of eloquent activations (p<0.0013).
- The RETROICOR/RVHR method enhanced precise localization of eloquent brain areas (p<0.009).
- Correction led to an increase in irrelevant voxels (p<0.001), indicating improved specificity.
Conclusions:
- The RETROICOR/RVHR convolution-based method effectively minimizes physiological artefacts in fMRI data.
- This algorithm enhances the reliability of fMRI activity patterns for presurgical evaluation.
- The adapted method is beneficial for neurosurgical planning, improving the accuracy of functional localization.
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