DIAL

The Neurodiagnostics Laboratory is no more and no new posts will be published. Some work is continued by former members of the team. Check out Jun-Prof. Hanna Zimmermann's group at ECRC (Applied Retina Research), Jun-Prof. Frederike Oertel's group at ECRC (Translational Neuroimmunology) and Prof. Paul's Clinical Neuroimmunology Group at ECRC (Translational Neuroimaging) (https://www.mdc-berlin.de/ecrc). Alexander Brandt is now working for Eli Lilly at the Institute for Genetic Medicines in Boston, MA.

DIAL in Chiba, Tokyo and Sendai

We are happy to announce that the startup Motognosis, which originated from the Neurodiagnostics Labs, was selected for the BIH Digital Health program as part of the new BIH and Startupbootcamp collaboration.

Motognosis has already moved into the Startupbootcamp in Berlin Mitte and is now business coached over the next few months.

Find out more on our website:

Motognosis was selected for the BIH Digital Health program – Neurodiagnostics Laboratory Motognosis was selected for the BIH Digital Health program Posted on October 1, 2017October 1, 2017 by Alexander Brandt We are happy to announce that the startup Motognosis, which originated from the Neurodiagnostics Labs, was selected for the BIH Digital Health program as part of the new BIH and St...

Optical coherence tomography (OCT) allows three-dimensional (3D) imaging of the retina, and is commonly used for assessing pathological changes of fovea and macula in many diseases. Many neuroinflammatory conditions are known to cause modifications to the fovea shape. In this paper, we propose a method for parametric modeling of the foveal shape. Our method exploits invariant features of the macula from OCT data and applies a cubic Bézier polynomial along with a least square optimization to produce a best fit parametric model of the fovea. Additionally, we provide several parameters of the foveal shape based on the proposed 3D parametric modeling. Our quantitative and visual results show that the proposed model is not only able to reconstruct important features from the foveal shape, but also produces less error compared to the state-of-the-art methods. Finally, we apply the model in a comparison of healthy control eyes and eyes from patients with neuroinflammatory central nervous system disorders and optic neuritis, and show that several derived model parameters show significant differences between the two groups.

Read more of this just published paper by Sunil Yadav et al. under the link.

Biomedical Optics Express Vol. 8, Issue 9, pp. 4181-4199 (2017)

Together with our startup Motognosis we tested Kinect 2 based motion analysis against a full-fledged, marker based motion laboratory with professional 3D cameras. The results were very promising that consumer-grade RGBD cameras can achieve medical grade diagnostics quality.

Accuracy and Reliability of the Kinect Version 2 for Clinical Measurement of Motor Function. - PubMed - NCBI PLoS One. 2016 Nov 18;11(11):e0166532. doi: 10.1371/journal.pone.0166532. eCollection 2016.