Information system of Friedrich-Alexander-University Erlangen-Nuremberg © Config eG
Collection/class schedule    module collection Home  |  Legal Matters  |  Contact  |  Help     search: People Departments Other entries Lecture list Module Rooms Publications Research projects Internat. contacts Job offers Furniture and equipment offers Thesis offers      semester: WS 2024/2025 SS 2024 WS 2023/2024 SS 2023 WS 2022/2023 SS 2022 WS 2021/2022 SS 2021 WS 2020/2021 SS 2020 WS 2019/2020 SS 2019 WS 2018/2019 SS 2018 WS 2017/2018 SS 2017 WS 2016/2017 SS 2016 WS 2015/2016 SS 2015 WS 2014/2015 SS 2014 WS 2013/2014 SS 2013 WS 2012/2013 SS 2012 WS 2011/2012 SS 2011 WS 2010/2011 SS 2010 WS 2009/2010 SS 2009 WS 2008/2009 SS 2008 WS 2007/2008 SS 2007 WS 2006/2007 SS 2006 WS 2005/2006 SS 2005 WS 2004/2005 SS 2004 WS 2003/2004 SS 2003 WS 2002/2003 SS 2002 WS 2001/2002 SS 2001 WS 2000/2001 SS 2000 WS 1999/2000 SS 99 WS 98/99 SS 98 WS 97/98 SS 97 WS 96/97
Layout   printable version	Retrospective Motion Compensation in Optical Coherence Tomography Optical coherence tomography (OCT) opens up the possibility to perform non-invasive, in vivo, micron scale 2D and 3D imaging of scattering tissue, such as the retina. Using 3D-OCT, quantitative measurements can be performed in ophthalmology, facilitating early detection and treatment of eye diseases, such as glaucoma and diabetic retinopathy. 3D-OCT datasets are not acquired instantaneously but are composed of many 1D axial scans recorded within few seconds. Thus, datasets show distortions and artefacts that result from motion of the eye during the scan. OCT images also contain speckle noise. We approach these problems by using multiple 3D scans of an area which are registered with each other to correct for motion and are combined so that speckle noise is reduced. OCT images with different scanning patterns are used to retrospectively estimate and compensate object motion. A novel software only registration method based on the optimization of a global, problem-specific objective function that is able to correct motion in all three dimensions is proposed. It offers great potential for achieving both more accurate data and improved image quality without the additional cost and complexity of hardware based motion correction methods. The ability to accurately and repeatably image the retina could improve the early, accurate diagnosis of disease and monitoring of treatment. Project manager: Prof. Dr.-Ing. Joachim Hornegger, Prof. Dr. Christian Y. Mardin, Prof. Dr. med. Friedrich E. Kruse Project participants: Dr.-Ing. Martin Kraus Keywords: Optische Kohaerenztomographie; Bildregistrierung; Bewegungskorrektur; Signalverbesserung; Medizinische Bilddaten Duration: 1.7.2013 - 30.6.2014 Sponsored by: Deutsche Forschungsgemeinschaft Mitwirkende Institutionen: Augenklinik Erlangen Massachussets Institute of Technology Contact: Kraus, Martin Publications Liu, Jonathan J. ; Grulskowski, Ireneusz ; Potsaid, Benjamin M. ; Jayaraman, Vijaysekhar ; Cable, Alex E. ; Kraus, Martin ; Hornegger, Joachim ; Duker, Jay S. ; Fujimoto, James G.: 4D dynamic imaging of the eye using ultrahigh speed SS-OCT. In: SPIE (Ed.) : Proc. SPIE 8567 (Ophthalmic Technologies XXIII San Francisco 02.02.2013). 2013, pp 85670X. [doi>10.1117/12.2004369] Kajic, Vedran ; Esmaeelpour, Marieh ; Glittenberg, Carl ; Kraus, Martin ; Hornegger, Joachim ; Othara, Richu ; Binder, Susanne ; Fujimoto, James G. ; Drexler, Wolfgang: Automated three-dimensional choroidal vessel segmentation of 3D 1060 nm OCT retinal data. In: Biomedical Optics Express 4 (2013), No. 1, pp 134-150 [doi>10.1364/BOE.4.000134] Köhler, Thomas ; Budai, Attila ; Kraus, Martin ; Odstrcilik, Jan ; Michelson, Georg ; Hornegger, Joachim: Automatic No-Reference Quality Assessment for Retinal Fundus Images Using Vessel Segmentation. In: IEEE (Ed.) : 2013 26th IEEE International Symposium on Computer-Based Medical Systems (CBMS) (International Symposium on Computer-Based Medical Systems Porto, Portugal 2013). 2013, pp 95-100. [doi>10.1109/CBMS.2013.6627771] Liu, Jonathan J. ; Grulskowski, Ireneusz ; Kraus, Martin ; Potsaid, Benjamin ; Lu, Chen D. ; Baumann, Bernhard ; Duker, Jay S. ; Hornegger, Joachim ; Fujimoto, James G.: In vivo imaging of the rodent eye with swept source/Fourier domain OCT. In: Biomedical Optics Express 4 (2013), No. 2, pp 351-363 [doi>10.1364/BOE.4.000351] Ahsen, Osman O. ; Tao, Yuankai K. ; Potsaid, Benjamin M. ; Sheikine, Yuri ; Jian, James ; Grulkowski, Ireneusz ; Tsa, Tsung-Han ; Jayaraman, Vijaysekhar ; Kraus, Martin ; Connolly, James L. ; Hornegger, Joachim ; Cable, Alex ; Fujimoto, James G.: Swept source optical coherence microscopy using a 1310 nm VCSEL light source. In: Optics Express 21 (2013), No. 15, pp 18021-18033 [doi>10.1364/OE.21.018021] Tsai, Tsung-Han ; Tao, Yuankai K. ; Potsaid, Benjamin M. ; Jayaraman, Vijaysekhar ; Kraus, Martin ; Heim, Peter J. S. ; Hornegger, Joachim ; Mashimo, Hiroshi ; Cable, Alex E. ; Fujimoto, James G.: Ultrahigh speed endoscopic optical coherence tomography using micro-motor imaging catheter and VCSEL technology. In: SPIE (Ed.) : Proc. SPIE 8571 (Optical Coherence Tomography and Coherence Domain Optical Methods in Biomedicine XVII San Francisco, California, USA 02.02.2013). 2013, pp 85710N. [doi>10.1117/12.2006952] Institution: Chair of Computer Science 5 (Pattern Recognition) UnivIS is a product of Config eG, Buckenhof