000233734 001__ 233734
000233734 005__ 20190416220341.0
000233734 020__ $$a978-1-5386-3534-6
000233734 0247_ $$2doi$$a10.1109/DASIP.2017.8122113
000233734 037__ $$aCONF
000233734 245__ $$aSingle-FPGA complete 3D and 2D medical ultrasound imager
000233734 269__ $$a2017
000233734 260__ $$bIEEE$$c2017
000233734 336__ $$aConference Papers
000233734 520__ $$a3D ultrasound (US) acquisition acquires volumetric images, thus alleviating a classical US imaging bottleneck that requires a highly-trained sonographer to operate the US probe. However, this opportunity has not been explored in practice, since 3D US machines are only suitable for hospital usage in terms of cost, size and power requirements. In this work we propose the first fully-digital, single-chip 3D US imager on FPGA. The proposed design is a complete processing pipeline that includes pre-processing, image reconstruction, and post-processing. It supports up to 1024 input channels, which matches or exceeds state of the art, in an unprecedented estimated power budget of 6.1 W. The imager exploits a highly scalable architecture which can be either downscaled for 2D imaging, or further upscaled on a larger FPGA. Our platform supports both real-time inputs over an optical cable, or test data feeds sent by a laptop running Matlab and custom tools over an Ethernet connection. Additionally, the design allows HDMI video output on a screen.
000233734 700__ $$aIbrahim, Aya
000233734 700__ $$aSimon, William
000233734 700__ $$0(EPFLAUTH)244206$$g244206$$aDoy, Damien
000233734 700__ $$aPignat, Elieva
000233734 700__ $$0241996$$g169841$$aAngiolini, Federico
000233734 700__ $$0(EPFLAUTH)246355$$g246355$$aArditi, Marcel
000233734 700__ $$aThiran, Jean-Philippe$$g115534$$0240323
000233734 700__ $$aDe Micheli, Giovanni$$g167918$$0240269
000233734 7112_ $$dSeptember 27-29, 2017$$cDresden, Germany$$a2017 Conference on Design and Architectures for Signal and Image processing (DASIP)
000233734 773__ $$tProceedings of the 2017 Conference on Design and Architectures for Signal and Image processing (DASIP)
000233734 8564_ $$uhttps://infoscience.epfl.ch/record/233734/files/08122113.pdf$$zn/a$$s812102$$yn/a
000233734 909C0 $$xU11140$$0252283$$pLSI1
000233734 909CO $$pIC$$ooai:infoscience.tind.io:233734$$qGLOBAL_SET$$pconf$$pSTI
000233734 917Z8 $$x112915
000233734 917Z8 $$x112915
000233734 937__ $$aEPFL-CONF-233734
000233734 973__ $$rREVIEWED$$sPUBLISHED$$aEPFL
000233734 980__ $$aCONF