a b/README.md 

  1
  
<div class="sc-jegwdG lhLRCf"><div class="sc-UEtKG dGqiYy sc-flttKd cguEtd"><div class="sc-fqwslf gsqkEc"><div class="sc-cBQMlg kAHhUk"><h2 class="sc-dcKlJK sc-cVttbi gqEuPW ksnHgj">About Dataset</h2></div></div></div><div class="sc-davvxH eCVTlP"><div class="sc-jCNfQM dTyvWO"><div style="min-height: 80px;"><div class="sc-etVRix jqYJaa sc-gVIFzB gQKGyV"><p>7 2D ultrasound sequences of the liver of healthy volunteers were acquired during free breathing over a period of 5-10 min.</p>





  
  

  2
  
<p>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.</p>





  
  

  3
  
<p>The conversion commands used are:</p>





  
  

  4
  
<p>$vlc volunteer06.avi --video-filter=scene --scene-prefix=movie --scene-ratio=1 --scene-path=volunteer06 --no-skip-frames</p>





  
  

  5
  
<p>$ffmpeg -r 17 -i volunteer06/movie%05d.png volunteer06.mp4</p>





  
  

  6
  
<p>$ffmpeg -r 25 -start_number 580 -i volunteer01/Image_120910_102034_%05d.bmp volunteer01.mp4<br>





  
  

  7
  
Data notes:<br>





  
  

  8
  
Ultrasound device: Antares, Siemens Medical Solutions, Mountain View, CA, USA<br>





  
  

  9
  
Ultrasound transducer: CH4-1<br>





  
  

  10
  
Place of acquisition: Radiology Department of Geneva University Hospital, Switzerland</p>





  
  

  11
  
<p>volunteer02.avi - volunteer 09.avi: 8 bits grayscale codec<br>





  
  

  12
  
volunteer01: sequence of images grabbed from the ultraosund video output</p>





  
  

  13
  
<pre class="uc-code-block"><code>    Spatial <span class="hljs-built_in">resolution</span>    Temporal <span class="hljs-built_in">resolution</span>     Center frequency





  
  

  14
  
</code><div class="uc-code-block-copy-button-wrapper"><button class="uc-code-block-copy-button google-symbols" aria-label="Copy code">content_copy</button></div></pre>





  
  

  15
  
<h2>            [mm/pixel]              [fps]             [MHz]</h2>





  
  

  16
  
<h2>volunteer01        0.71            25             2.22</h2>





  
  

  17
  
<h2>volunteer02        0.40            16             2.00</h2>





  
  

  18
  
<h2>volunteer03        0.36            17             1.82</h2>





  
  

  19
  
<h2>volunteer04        0.42            15             2.22</h2>





  
  

  20
  
<h2>volunteer05        0.40            15             2.22</h2>





  
  

  21
  
<h2>volunteer06        0.37            17             1.82</h2>





  
  

  22
  
<h2>volunteer07        0.28            14             2.22</h2>





  
  

  23
  
<h2>volunteer08        0.36            17             1.82</h2>





  
  

  24
  
<p>volunteer09         0.40            16             1.82</p>





  
  

  25
  
<p>Citation<br>





  
  

  26
  
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.</p>





  
  

  27
  
<p>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.</p></div></div></div>