paper-with-me

Papers

A Feasibility Study on Real-Time High Resolution Imaging of the Brain Using Electrical Impedance Tomography

2022-02-26 · Sebastien Martin

Objective: The strengths of Electrical Impedance Tomography (EIT) are its capability of imaging the internal body by using a noninvasive, radiation safe technique, and the absence of known hazards. In this paper we introduce a novel idea of using EIT in microelectrodes during Deep Brain Stimulation (DBS) surgery in order to obtain an image of the electrical conductivities of the brain tissues surrounding the microelectrodes. DBS is a surgical treatment involving the implantation of a medical probe inside the brain. For such application, the EIT reconstruction method has to offer both high quality and robustness against noise. Methods: A post-processing method for open-domain EIT is introduced in this paper, which combines linear and nonlinear methods in order to use the advantages of both with limited drawbacks. The reconstruction method is a two-steps method, the first solves the inverse problem with a linear algorithm and the second brings the nonlinear aspects back into the image. Results: The proposed method is tested on both simulation and phantom data, and compared to three widely used method for EIT imaging. Resulting images and errors gives a strong advantage to the proposed solution. Conclusion: High quality reconstruction from phantom data validates the efficiency of the novel reconstruction method. Significance: This feasibility study presents an efficient method for open domain EIT and opens the way to clinical trials.

📄 PDF Abstract BibTeX arXiv:2202.13159

Code (1)

sebastienlinker/eit_post_processing 공식 구현

Similar Papers 제목 키워드 기반

Feasibility of Corneal Imaging for Handheld Augmented Reality

2017-09-04 · Daniel Schneider, Jens Grubert

Smartphones are a popular device class for mobile Augmented Reality but suffer from a limited input space. Around-device interaction techniques aim at extending this input space using various sensing modalities. In this …

Probabilistic Super-Resolution for Urban Micrometeorology via a Schrödinger Bridge

2025-10-14 · Yuki Yasuda, Ryo Onishi arxiv

This study employs a neural network that represents the solution to a Schrödinger bridge problem to perform super-resolution of 2-m temperature in an urban area. Schrödinger bridges generally describe transformations bet…

A Wavelet Diffusion GAN for Image Super-Resolution

2024-10-23 · Lorenzo Aloisi, Luigi Sigillo, Aurelio Uncini, Danilo Comminiello

In recent years, diffusion models have emerged as a superior alternative to generative adversarial networks (GANs) for high-fidelity image generation, with wide applications in text-to-image generation, image-to-image tr…

Dimensionality ReductionImage GenerationImage Super-ResolutionImage-to-Image Translation+3

A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility

2022-02-04 · Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar 외

Vision-language navigation (VLN), in which an agent follows language instruction in a visual environment, has been studied under the premise that the input command is fully feasible in the environment. Yet in practice, a…

Common Sense ReasoningQuestion AnsweringVision-Language Navigation

Towards Around-Device Interaction using Corneal Imaging

2017-09-04 · Daniel Schneider, Jens Grubert

Around-device interaction techniques aim at extending the input space using various sensing modalities on mobile and wearable devices. In this paper, we present our work towards extending the input area of mobile devices…