2D ultrasound sequences of the liver (mp4)

@article{,
title= {2D ultrasound sequences of the liver (mp4)},
keywords= {},
author= {},
abstract= {7 2D ultrasound sequences of the liver of healthy volunteers were acquired during free breathing over a period of 5-10 min. 

This is a converted version of the usliverseq dataset into mp4 files encoded with H.264 to reduce size and make the files easier to read.

The conversion commands used are:
```
$vlc volunteer06.avi --video-filter=scene --scene-prefix=movie --scene-ratio=1 --scene-path=volunteer06 --no-skip-frames

$ffmpeg -r 17 -i volunteer06/movie%05d.png volunteer06.mp4

$ffmpeg -r 25 -start_number 580 -i volunteer01/Image_120910_102034_%05d.bmp volunteer01.mp4
```

### Data notes:
```
Ultrasound device: Antares, Siemens Medical Solutions, Mountain View, CA, USA
Ultrasound transducer: CH4-1
Place of acquisition: Radiology Department of Geneva University Hospital, Switzerland

volunteer02.avi - volunteer 09.avi: 8 bits grayscale codec
volunteer01: sequence of images grabbed from the ultraosund video output

		Spatial resolution	Temporal resolution 	Center frequency
		    [mm/pixel]		      [fps]		     [MHz]
-----------------------------------------------------------------------
volunteer01		0.71			25		     2.22
-----------------------------------------------------------------------
volunteer02		0.40			16		     2.00
-----------------------------------------------------------------------
volunteer03		0.36			17		     1.82
-----------------------------------------------------------------------
volunteer04		0.42			15		     2.22
-----------------------------------------------------------------------
volunteer05		0.40			15		     2.22
-----------------------------------------------------------------------
volunteer06		0.37			17		     1.82
-----------------------------------------------------------------------
volunteer07		0.28			14		     2.22
-----------------------------------------------------------------------
volunteer08		0.36			17		     1.82
-----------------------------------------------------------------------
volunteer09 		0.40			16		     1.82
```

### Example images

|01  | 02  |  03 | 04 |  05| 06 | 07|
|---|---|---|--|--|--|
|https://i.imgur.com/0E5C348.png | https://i.imgur.com/1foqqvE.png | https://i.imgur.com/Zm66UCu.png |https://i.imgur.com/qq7K2eT.png | https://i.imgur.com/Ulw0yTv.png | https://i.imgur.com/TVauYUt.png | https://i.imgur.com/ffbeBHP.png |

## Citation

L. Petrusca, P. Cattin, V. De Luca, F. Preiswerk, Z. Celicanin, V. Auboiroux, M. Viallon, P. Arnold, F. Santini, S. Terraz, K. Scheffler, C. D. Becker, R. Salomir, "Hybrid Ultrasound/Magnetic Resonance Simultaneous Acquisition and Image Fusion for Motion Monitoring in the Upper Abdomen", Investigative Radiology, Vol. 48, No. 5, pp. 333-340, 2013.

V. De Luca, M. Tschannen, G. Székely, C. Tanner, "A Learning-based Approach for Fast and Robust Vessel Tracking in Long Ultrasound Sequences", Medical Image Computing and Computer-Assisted Intervention, Springer. volume of LNCS 8149, pp. 518-525, 2013.


},
terms= {},
license= {},
superseded= {},
url= {http://www.vision.ee.ethz.ch/en/datasets/}
}