A Post-Processing Tool and Feasibility Study for Three-Dimensional Imaging with Electrical Impedance Tomography During Deep Brain Stimulation Surgery

by   Sebastien Martin, et al.

Electrical impedance tomography (EIT) is a promising technique for biomedical imaging. The strength of EIT is its ability to reconstruct images of the body's internal structures through radiation-safe techniques. EIT is regarded as safe for patients' health, and it is currently being actively researched. This paper investigates the application of EIT during deep brain stimulation (DBS) surgery as a means to identify targets during operations. DBS involves a surgical procedure in which a lead or electrode array is implanted in a specific target area in the brain. Electrical stimulations are then used to modulate neural circuits within the target area to reduce disabling neurological symptoms. The main difficulty in performing DBS surgery is to accurately position the lead in the target area before commencing the treatment. Brain tissue shifts during DBS surgery can be as large as the target size when compared with the pre-operative magnetic resonance imaging (MRI) or computed tomography (CT) images. To address this problem, a solution based on open-domain EIT to reconstruct images surrounding the probe during DBS surgery is proposed. Data acquisition and image reconstruction were performed, and artificial intelligence was applied to enhance the resulting images. The results showed that the proposed method is rapid, produces valuable high-quality images, and constitutes a first step towards in-vivo study.


page 4

page 7

page 8

page 20

page 21

page 22

page 23


Automated Tumor Segmentation and Brain Mapping for the Tumor Area

Magnetic Resonance Imaging (MRI) is an important diagnostic tool for pre...

Implementation of Radon Transformation for Electrical Impedance Tomography (EIT)

Radon Transformation is generally used to construct optical image (like ...

Brain Signals Analysis Based Deep Learning Methods: Recent advances in the study of non-invasive brain signals

Brain signals constitute the information that are processed by millions ...

Py3DFreeHandUS: a library for voxel-array reconstruction using Ultrasonography and attitude sensors

In medical imaging, there is a growing interest to provide real-time ima...

Applying Artificial Intelligence to Glioma Imaging: Advances and Challenges

Primary brain tumors including gliomas continue to pose significant mana...

Genaue modellbasierte Identifikation von gynäkologischen Katheterpfaden für die MRT-bildgestützte Brachytherapie

Mortality in gynecologic cancers, including cervical, ovarian, vaginal a...

Computer Vision based Tomography of Structures Using 3D Digital Image Correlation

Internal properties of a sample can be observed by medical imaging tools...

Please sign up or login with your details

Forgot password? Click here to reset