Method for three-dimensional registration and brain tissue extraction of individual human brain multimodality medical images

Abstract

The invention relates to a method for three-dimensional registration and brain tissue extraction of individual human brain multimodality medical images. The method comprises the following steps: reading DICOM medical image data, and converting DICOM format data into NIfTI format data; layering images adopting a nuclear magnetic resonance structure; establishing a mixture gaussian model through an east Asia brain structure template and an east Asia brain tissue probability graph of ICBM, and dividing nuclear magnetic data into a grey matter part, a white matter part and a cerebrospinal fluid part; enabling the registration methods of other modality data and nuclear magnetic structure images to be the same; according to a layering and registration result, removing a skull and other parts outside the skull of each modality, and reserving the structure of parts inside the skull; adding weighting of three tissue probability graphs of the grey matter, the white matter and the cerebrospinal fluid obtained through layering of structure images so as to obtain a brain tissue probability graph, and performing Gaussian kernel smoothness; setting a threshold, applying the threshold to each modality image data after registration and resampling, and removing the cranium and parts outside the cranium; outputting a save result in an NIfTI format. According to the method disclosed by the invention, the registration of various structure images and multiplanar reconstruction images of a tested person can be completed at the same time.

Description

technical field [0001] The invention relates to a three-dimensional image registration and brain tissue extraction method in the medical field, in particular to a three-dimensional registration and brain tissue extraction method of individualized multimodal medical images of the human brain. Background technique [0002] Epilepsy surgery involves localization of epileptogenic focus, cerebral cortex function localization and intracranial electrode localization. The characteristic EEG signals of the seizure period and the cortical electrical stimulation results collected by the intracranial electrodes need to be mapped to the corresponding structures of the cerebral cortex, which is obviously helpful for the localization of the epileptogenic focus and the formulation of the surgical resection range. The solution of these problems is inseparable from the development of medical imaging and computer technology. [0003] For patients after implantation of intracranial electrodes,...

AI Technical Summary

Problems solved by technology

[0003] For patients after implantation of intracranial electrodes, in order to show the relationship between the exposed cerebral cortex, buried intracranial electrodes and the overall shape of the brain, many methods have been developed, listed as follows: The first method is to Digital photographs are fused with magnetic resonance imaging (MRI) images, but the reconstructed cortex has poor morphology and lacks blood vessels as positioning marks. Since some electrodes are located outside the bone window, it is impossible to connect them with the cortical surface even if intraoperative photographs are taken. Carry out position-relationship correspondence, which is detrimental both for electrical stimulation mapping of cortical functions and for preservation of important functions during surgery

The second method is to use the cranial X-ray after intracranial electrode implantation and preoperative MRI for registration, which can show the position of the intracranial electrode on the cortex, but the electrodes at the skull base and midline cannot be well displayed

The fourth method is to use the self-edited Matalab program to sample intraoperative photos, and draw the brain surface curve to obtain the intracranial electrode position, but there are also differences with the actual electrode position, and the electrodes that are blocked outside the bone window are still unable to be located

The fifth method is to use the FLIRT module in the FSL software for image registration, choose 9-parameter rigid registration, the result is not very stable, for positron emission tomography (PET) and thin-slice Flair coronal The imaging registration results are not ideal, and only a single image registration can be performed in batches (using the MRI structural image as a reference), and multiple images cannot be registered at the same time, and because the registered CT image does not remove structures other than the skull, the generated The 3D image of the electrodes includes the extended leads of the electrodes and the dense bony bone of the temporal bone, which takes a long time to manually remove

However, the registered images of these commercial navigation software cannot be exported to other software for 3D imaging, and they cannot adjust the color settings required for PET imaging, which cannot meet clinical needs.

Although the navigation software can also register the CT after intracranial electrode implantation with the preoperative MRI, it cannot correct the electrode position and remove the skull, which affects the three-dimensional presentation of the intracranial electrodes.

However, open source software has problems such as inability to automatically register and simultaneously process multi-modal images, and cannot meet the clinical needs for stability and processing efficiency.

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