Publikationen Mitarbeiter
- Achim Schweikard
- Ralf Bruder
- Sven Böttger
- Floris Ernst
- Timo Hackbarth
- Jannis Hagenah
- Felix von Haxthausen
- Svenja Ipsen
- Phillip Jauer
- Ivo Kuhlemann
- Elmar Rückert
- Verónica García Vázquez
Publikationen ehemalige Mitarbeiter
- Mohammed Al-Badri
- Rehman Ansari
- Norbert Binder
- Christoph Bodensteiner
- Robert Dürichen
- Markus Finke
- Fernando Gasca
- Hamid Hadjar
- Maximilian Heinig
- Volker Martens
- Lars Matthäus
- Christoph Metzner
- Lukas Ramrath
- Lars Richter
- Alexander Schlaefer
- Osama Shahin
- Birgit Stender
- Patrick Stüber
- Tiberiu Viulet
- Benjamin Wagner
- Christian Wilde
- Tobias Wissel
{M}odel-{B}ased {D}etection of {W}hite {M}atter in {O}ptical {C}oherence {T}omography {D}ata
| Type of publication: | Artikel in einem Konferenzbericht |
| Buchtitel: | Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
| Jahr: | 2007 |
| Monat: | August 23rd-26th |
| Ort: | Lyon, France |
| Notiz: | OCT-based Neuro-Imaging |
| Abriss: | A method for white matter detection in Optical Coherence Tomography A-Scans is presented. The Kalman filter is used to obtain a slope change estimate of the intensity signal. The estimate is subsequently analyzed by an spike detection algorithm and then evaluated by a neural network binary classifier (Perceptron). The capability of the proposed method is shown through the quantitative evaluation of simulated A-Scans, as well as applying the method on data obtained from a rat's brain in vitro. Results show that the developed algorithm identifies less false positives than other two spike detection methods, thus, enhancing the robustness and quality of detection. |
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