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Volume-of-interest (VOI) imaging in C-arm angiographyVOI imaging is able to dramatically reduce the radiation
dose required for 3-D interventional imaging. The huge dose
reduction comes from the fact that only a small proportion
of the patient is being imaged. Through these significant
savings, it is possible to use 3-D imaging multiple times
during an intervention which enables improved management in
difficult interventions.VOI imaging can be used for both fluoroscopy and for the 3-D
imaging. A significant problem with this is that the imaging
has many parameters. So far it is not clear how to define
location and size of the VOI, without disrupting the
clinical workflow. Another problem is that until now the
technical capabilities of our angiography systems are not
used to their full extent. As a result, many new
applications and scan protocols are possible and have the
potential to improve clinical workflow. For these reasons, it is useful to examine the possibilities
of VOI imaging. It is subdivided into three fields:
(A) Enhanced 3-D VOI reconstruction
(B) Acquisition with dynamic adaptation of the collimation
(C) Use of prior knowledge to improve the image quality | Project manager: Prof. Dr.-Ing. Joachim Hornegger, Prof. Dr.-Ing. habil. Andreas Maier, Dr.-Ing. Sebastian Bauer
Project participants: Dr.-Ing. Yan Xia
Keywords: VOI reconstruction; dose reduction; C-arm CT
Duration: 1.8.2012 - 31.7.2014
Sponsored by: Siemens AG, Healthcare Sector
Contact: Xia, Yan Phone +49 9131 85 27891, Fax +49 9131 85 27270, E-Mail: yan.xia@cs.fau.de
| Publications |
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Xia, Yan ; Maier, Andreas ; Dennerlein, Frank ; Hofmann, Hannes ; : Efficient 2D Filtering for Cone-beam VOI Reconstruction. In: IEEE (Ed.) : 2012 Proceedings of the IEEE Nuclear Science Symposium and Medical Imaging Conference (IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS/MIC) Anaheim, CA, USA 29.10-03.11.2012). 2012, pp 2415-2420. | Xia, Yan ; Maier, Andreas ; Dennerlein, Frank ; Hofmann, Hannes ; Müller, Kerstin ; : Reconstruction from Truncated Projections in Cone-beam CT using an Efficient 1D Filtering. In: SPIE (Ed.) : Proceedings of SPIE, Medical Imaging 2013 (SPIE Medical Imaging 2013 Orlando, FL, USA 09.02-14.02.2013). 2013, pp 86681C. [doi>10.1117/12.2007484] | Xia, Yan ; Maier, Andreas ; Dennerlein, Frank ; Hofmann, Hannes ; : Scaling Calibration in the ATRACT Algorithm. In: Meinzer, Hans-Peter ; Deserno, Thomas Martin ; Handels, Heinz ; Tolxdorff, Thomas (Ed.) : Proceedings Bildverarbeitung für die Medizin 2013 (Bildverarbeitung für die Medizin 2013 Heidelberg, Germany 03.03-05.03.13). 2013, pp 104-109. - ISBN 978-3-642-36479-2 [doi>10.1007/978-3-642-36480-8] | Bier, Bastian ; Maier, Andreas ; Hofmann, Hannes ; Schwemmer, Chris ; Xia, Yan ; Struffert, Tobias ; : Truncation Correction for VOI C-arm CT using Scattered Radiation. In: Nishikawa, Robert ; Whiting, Bruce (Ed.) : Proceedings of SPIE Medical Imaging 2013: Physics of Medical Imaging (SPIE Medical Imaging 2013: Physics of Medical Imaging Lake Buena Vista, Florida, USA 09.-14.02.2013). Vol. 8668. 2013, pp 86682F-86682F9. [doi>10.1117/12.2007486] | Xia, Yan ; Maier, Andreas ; Dennerlein, Frank ; : Truncation Correction using a 3D Filter for Cone-beam CT. In: Fully3D (Ed.) : Fully3D 2013 (Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine Lake Tahoe, California, USA 16.06-20.06.2013). 2013, pp 118-121. | Bier, Bastian ; Schwemmer, Chris ; Maier, Andreas ; Hofmann, Hannes ; Xia, Yan ; ; Struffert, Tobias: Convolution-Based Truncation Correction for C-Arm CT Using Scattered Radiation. In: Meinzer, Hans-Peter ; Deserno, Thomas Martin ; Handels, Heinz ; Tolxdorff, Thomas (Ed.) : Bildverarbeitung für die Medizin 2013 (Bildverarbeitung für die Medizin 2013 Heidelberg 03.-05.03.2013). Berlin Heidelberg : Springer, 2013, pp 338-343. (Informatik aktuell) - ISBN 978-3-642-36479-2 [doi>10.1007/978-3-642-36480-8_59] | Xia, Yan ; Dennerlein, Frank ; Maier, Andreas: Method for determining three-dimensional image of examination object, involves determining rear projections in three-dimensional area, where image of object and overlapping of rear projections are determined by computer. Schutzrecht DE201210210863 20120626 examined granted patent (13.06.2013) |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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