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Achieving fluid detection by exploiting shadow detection methods

: Noll, Matthias; Puhl, Julian; Wesarg, Stefan


Cardoso, M.J.:
Imaging for patient-customized simulations and systems for point-of-care ultrasound : International workshops, BIVPCS 2017 and POCUS 2017, held in conjunction with MICCAI 2017, Québec City, QC, Canada, September 14, 2017; Proceedings
Cham: Springer International Publishing, 2017 (Lecture Notes in Computer Science 10549)
ISBN: 978-3-319-67551-0 (Print)
ISBN: 978-3-319-67552-7 (Online)
ISBN: 3-319-67551-6
International Workshop on Bio-Imaging and Visualization for Patient-Customized Simulations (BIVPCS) <2017, Quèbec>
International Workshop on Point-of-Care Ultrasound - Algorithms, Hardware, and Applications (POCUS) <2017, Quèbec>
International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI) <20, 2017, Québec>
Conference Paper
Fraunhofer IGD ()
ultrasound; free fluid detection; Guiding Theme: Individual Health; Research Area: Human computer interaction (HCI)

Ultrasound provides a useful and readily available imaging tool. The big challenge in acquiring a good ultrasound image are possible shadow artefacts that hide anatomical structures. This applies in particular to 3D ultrasound acquisitions, because shadow artefacts may be recorded outside the visualized image plane. There are only a few automatic methods for shadow artefact detection. In our work we like to introduce a new shadow detection method that is based on an adaptive thresholding approach. The development was attempted, after existing methods had been extended to separate shadow and fluid regions. The entire detection procedure utilizes only the ultrasound scan line information and some basic knowledge about the ultrasound propagation inside the human body. Applying our method, the ultrasound operator can retrieve combined information about shadow and fluid locations, that may be invaluable for image acquisition or diagnosis. The method can be applied to conventional 2D as well as 3D ultrasound images.