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Quantitative DECT with prior atlas knowledge Dual-Energy CT (DECT) uses two different x-ray spectra
simultaneously. This technique enables decomposition of
images into the underlying materials by detecting the
different attenuation of materials at different x-ray
spectra. Thus, the diagnostic significance of DECT is
improved compared to single-energy CT. So far, the method
of material decomposition is only efficient for certain
organs and works only with organ-specific parameters. The
organ-specific parameters have to be given by the user
manually, and the parameters should be chosen patient-
specifically.
This project aims at decomposing the materials with anatomy
knowledge automatically. An atlas provides the prior
knowledge - the anatomic structures. The anatomy knowledge
allows then automatic decomposition and classification of
the different materials.
This project is in cooperation with the German Cancer
Research Center (DKFZ) Heidelberg and the University
Hospital Erlangen. | Project manager: Prof. Dr.-Ing. habil. Andreas Maier
Project participants: Shuqing Chen, M. Sc.
Keywords: DECT; atlas registration; materials decomposition
Duration: 1.6.2016 - 31.5.2019
Contact: Maier, Andreas Phone +49 9131 85 27883, Fax +49 9131 85 27270, E-Mail: andreas.maier@fau.de
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Chen, Shuqing ; Zhong, Xia ; Hu, Shiyang ; Dorn, Sabrina ; Kachelriess, Marc ; Lell, Michael ; Maier, Andreas: Automatic Multi-Organ Segmentation in Dual Energy CT using 3D Fully Convolutional Network. In: van Ginneken, Bram ; Welling, Max (Ed.) : MIDL (International Conference on Medical Imaging with Deep Learning Amsterdam 4-6th, July 2018). 2018, pp n.a.. | Dorn, Sabrina ; Chen, Shuqing ; Pisana, Francesco ; Özdemir, Mahmut ; Maier, Joscha ; Sawall, Stefan ; Knaup, Michael ; Maier, Andreas ; Lell, Michael ; Kachelrieß, Marc: Context-sensitive organspecific evaluation and analysis of dual energy computed tomography (DECT). In: European Society of Radiology (Ed.) : European Congress of Radiology (ECR) (European Congress of Radiology (ECR) Vienna, Austria February 28 – March 4, 2018). 2018, pp 2018. | Chen, Shuqing ; Dorn, Sabrina ; Lell, Michael ; Kachelriess, Marc ; Maier, Andreas: Manifold Learning-based Data Sampling for Model Training. In: Bildverarbeitung für die Medizin: Algorithmen-Systeme-Anwendungen (Ed.) : Informatik-Aktuell (Bildverarbeitung für die Medizin 2018 Erlangen 11.-13.03.2018). Germany : Springer, 2018, pp 269-274. - ISBN 978-3-662-56537-7 | Dorn, Sabrina ; Chen, Shuqing ; Sawall, Stefan ; Simons, David ; May, Matthias ; Maier, Joscha ; Knaup, Michael ; Schlemmer, Heinz-Peter ; Maier, Andreas ; Lell, Micheal M. ; Kachelriess, Marc: Organ-specific context-sensitive CT image reconstruction and display. In: Joseph Y. Lo ; Taly Gilat Schmidt ; Guang-Hong Chen (Ed.) : Proc.SPIE (Medical Imaging 2018: Physics of Medical Imaging Houston, US 10-15 FEBRUARY 2018). 2018, pp 10573-10573-7. | Dorn, Sabrina ; Chen, Shuqing ; Sawall, Stefan ; Maier, Joscha ; Knaup, Michael ; Maier, Andreas ; Lell, Michael ; Kachelrieß, Marc: Prior-based multi material decomposition (PBMMD) for dual energy CT. In: Frederic Noo (Ed.) : the fifth edition of The International Conference on Image Formation in X-ray Computed Tomography (the fifth edition of The International Conference on Image Formation in X-ray Computed Tomography Salt Lake City, US 21-23.05). 2018, pp 106-109. | Chen, Shuqing ; Roth, Holger ; Dorn, Sabrina ; May, Matthias ; Cavallaro, Alexander ; Lell, Michael ; Kachelrieß, Marc ; Oda, Hirohisa ; Mori, Kensaku ; Maier, Andreas: Towards Automatic Abdominal Multi-Organ Segmentation in Dual Energy CT using Cascaded 3D Fully Convolutional Network. In: Noo, Frederic (Ed.) : the fifth edition of The International Conference on Image Formation in X-ray Computed Tomography (the fifth edition of The International Conference on Image Formation in X-ray Computed Tomography Salt lake city, US 21-23.05.2018). 2018, pp 395-398. | Sabrina Dorn ; Chen, Shuqing ; Stefan Sawall ; Joscha Maier ; Michael Knaup ; Monika Uhrig ; Heinz-Peter Schlemmer ; Maier, Andreas ; Michael Lell ; Marc Kachelrieß: Towards context-sensitive CT imaging — organ-specific image formation for single (SECT) and dual energy computed tomography (DECT). In: Medical Physics (2018), No. 45(10), pp 4541-4557 [doi>10.1002/mp.13127] | Chen, Shuqing ; Endres, Jürgen ; Dorn, Sabrina ; Maier, Joscha ; Lell, Michael ; Kachelrieß, Marc ; Maier, Andreas: A Feasibility Study of Automatic Multi-Organ Segmentation Using Probabilistic Atlas. In: Maier-Hein, Klaus Hermann ; Deserno, Thomas Martin ; Handels, Heinz ; Tolxdorff, Thomas (Ed.) : Bildverarbeitung für die Medizin: Algorithmen-Systeme-Anwendungen. (Bildverarbeitung für die Medizin 2017 Heidelberg 12.-14.03.2017). 2017, pp 218-223. - ISBN 978-3-662-54345-0 [doi>10.1007/978-3-662-54345-0_50] | Dorn, Sabrina ; Chen, Shuqing ; Pisana, Francesco ; Maier, Joscha ; Knaup, Michael ; Sawall, Stefan ; Maier, Andreas ; Lell, Michael ; Kachelriess, Marc: Organ-specific context-sensitive single and dual energy CT (DECT) image reconstruction, display and analysis. In: RSNA (Ed.) : n 103rd Scientific Assembly and Annual Meeting of the Radiological Society of North America (RSNA) (RSNA 2017 Chicago , USA 26 Nov. - 1 Dec., 2017). 2017, pp 2017. |
Institution: Chair of Computer Science 5 (Pattern Recognition)
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