Mri-based Neurosurgical Planning
Mri-based Neurosurgical Planning - Related Videos
08:41
A MRI-Based Toolbox for Neurosurgical Planning in Nonhuman Primates
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Cited by 9 •
2020
The method outlined below aims to provide a comprehensive protocol for the preparation of nonhuman primate (NHP) neurosurgery using a novel combination of three-dimensional (3D) printing methods and MRI data extraction.
06:06
Optogenetic Functional MRI
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Cited by 15 •
2016
This protocol describes the steps and data analysis required to successfully perform optogenetic functional magnetic resonance imaging (ofMRI). ofMRI is a novel technique that combines high-field fMRI readout with optogenetic stimulation, allowing for cell type-specific mapping of functional neural circuits and their dynamics across the whole living brain.
12:27
Noninvasive In Vivo Small Animal MRI and MRS: Basic Experimental Procedures
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Cited by 9 •
2009
This work describes basic procedures of noninvasive small animal MRI and MRS in vivo.
10:35
Simultaneous PET/MRI Imaging During Mouse Cerebral Hypoxia-ischemia
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Cited by 4 •
2015
The method presented here uses simultaneous positron emission tomography and magnetic resonance imaging. In the cerebral hypoxia-ischemia model, dynamic changes in diffusion and glucose metabolism occur during and after injury. The evolving and irreproducible damage in this model necessitates simultaneous acquisition if meaningful multi-modal imaging data are to be acquired.
08:20
MRI-guided dmPFC-rTMS as a Treatment for Treatment-resistant Major Depressive Disorder
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Cited by 31 •
2015
Here we outline the procedure for MRI-guided repetitive transcranial magnetic stimulation to the dorsomedial prefrontal cortex as an experimental treatment for major depressive disorder.
FAQs
Hydrogen-nucleus signals provide the raw information for MRI-based neurosurgical planning, but the magnetic field alone does not determine the planning result. Image detail comes from how the scanner captures and organizes those signals into sequences. Selecting functional or diffusion-based sequences adds information about active brain regions and white-matter pathways, extending planning beyond visible anatomy.
Functional and diffusion-based MRI sequences answer different planning questions. Functional imaging can indicate regions associated with brain activity, whereas diffusion-based imaging can reveal white-matter pathways. This distinction matters because a surgical target may be near tissue that is important either for regional function or for connectivity. Combining both views helps clinicians evaluate access while considering preservation of critical structures.
Three-dimensional modeling converts imaging findings into a spatial representation that can be examined during preparation. In bioengineering, models can combine anatomical information with patient-specific computational planning, allowing the surgical team to relate a target, surrounding tissue, and potential access routes. The value is not simply visual detail; it is the ability to organize complex imaging information for procedure-specific decisions.
Planning begins with acquiring MRI data that capture relevant anatomy, then adding functional or diffusion-based information when active regions or white-matter pathways matter. Those datasets can be incorporated into three-dimensional anatomical models and coordinated with surgical tools. The resulting plan supports target localization, assessment of nearby critical tissue, and preparation for image-guided intervention rather than relying on a single image view.
Researchers and clinicians can apply this approach when a procedure requires precise access to a brain target, including situations involving tumors or other structures identified in the imaging data. By anticipating the relationship between the target and critical tissue, planning can help balance access with preservation. This supports more informed preparation before intervention and can improve targeting and help anticipate procedural risks.
Within bioengineering, MRI-based planning links measurement, modeling, and intervention. Imaging data can be integrated with anatomical models and surgical tools to create a patient-specific representation for computational planning and image-guided surgery. This connection makes the method relevant not only to clinical preparation but also to the design of systems that translate biological structure into actionable surgical guidance.