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research.robot_assisted_laparoscopic_ultrasound_elastography [2011/12/20 21:08]
sbillin3@johnshopkins.edu
research.robot_assisted_laparoscopic_ultrasound_elastography [2019/08/07 16:01] (current)
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 ==== Results ==== ==== Results ====
  
 +The capability of the system to generate accurate elastography images was tested using a Model 049 Elasticity QA Phantom from CIRS. This phantom contains simulated lesions of varying stiffness. The following figure shows a screen-shot of the video feed shown to the user sitting at the da Vinci console while imaging two lesions of different stiffness simultaneously. As shown in the elastography image, the hard lesion appears darker, having much greater contrast with background tissue, compared to the soft lesion. Both lesions are also visible in the matching ultrasound image, where they appear very similar. Thus, the elastography image provides additional information concerning tissue stiffness, which the ultrasound image cannot provide.
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 +{{ research.robot_assisted_laparoscopic_ultrasound_elastography:​raluse_phantom_test.png?​400 |Elastography phantom being imaged by the RALUSE system}}
 ===== Project Personnel ===== ===== Project Personnel =====
  
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 ===== Publications ===== ===== Publications =====
  
-* Seth Billings, Nishikant Deshmukh, Hyun Jae Kang, Russell H. Taylor, Emad Boctor, "​System for Robot-Assisted Real-Time Laparoscopic Ultrasound Elastography", ​Accepted to //SPIE Medical Imaging ​Conference ​2012//.+* Seth Billings, Nishikant Deshmukh, Hyun Jae Kang, Russell H. Taylor, Emad Boctor, "​System for Robot-Assisted Real-Time Laparoscopic Ultrasound Elastography",​ //SPIE Medical Imaging 2012//.
research.robot_assisted_laparoscopic_ultrasound_elastography.1324415292.txt.gz · Last modified: 2019/08/07 16:03 (external edit)




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