@article {Rivaz2008a,
	title = {Ultrasound elastography: a dynamic programming approach},
	journal = {IEEE transactions on medical imaging},
	volume = {27},
	number = {10},
	year = {2008},
	month = {Oct},
	pages = {1373{\textendash}1377},
	publisher = {Engineering Research Center for Computer Integrated Surgery, Johns Hopkins University, 3400 N Charles Street, Baltimore, MD 21218, USA},
	abstract = {<p>This paper introduces a 2-D strain imaging technique based on minimizing a cost function using dynamic programming (DP) The cost function incorporates similarity of echo amplitudes, displacement continuity Since tissue deformations are smooth, the incorporation of the smoothness into the cost function results in reduced decorrelation noise As a result, the method generates high-quality strain images of freehand palpation elastography with up to 10\% compression, showing that the method is more robust to signal decorrelation (caused by scatterer motion in high axial compression, nonaxial motions of the probe) in comparison to the standard correlation techniques The method operates in less than 1 s, is thus also potentially suitable for real time elastography</p>
},
	keywords = {Algorithms, Computer-Assisted, Elasticity Imaging Techniques, Humans, Image Enhancement, Image Interpretation, Imaging, instrumentation/methods, methods, Numerical Analysis, Phantoms, Sensitivity, Specificity},
	doi = {10 1109/TMI 2008 917243},
	url = {http://dx doi org/10 1109/TMI 2008 917243},
	author = {Hassan Rivaz and Emad Boctor and Pezhman Foroughi and Richard Zellars and Gabor Fichtinger and Gregory D. Hager}
}
@article {Krupa2007,
	title = {Real-time tissue tracking with B-mode ultrasound using speckle and visual servoing},
	journal = {Tenth International Conference on Medical Image Computing and Computer-Assisted Intervention (MICCAI)},
	volume = {10},
	number = {Pt 2},
	year = {2007},
	pages = {1{\textendash}8},
	publisher = {IRISA - INRIA Rennes, France alexandre krupa@irisa fr},
	abstract = {<p>We present a method for real-time tracking of moving soft tissue with B-mode ultrasound (US) The method makes use of the speckle information contained in the US images to estimate the in-plane, out-of-plane motion of a fixed target relative to the ultrasound scan plane The motion information is then used as closed-loop feedback to a robot which corrects for the target motion The concept is demonstrated for translation motions in an experimental setup consisting of an ultrasound speckle phantom, a robot for simulating tissue motion, and a robot that performs motion stabilization from US images This concept shows promise for US-guided procedures that require real-time motion tracking, compensation</p>
},
	keywords = {Algorithms, Artificial Intelligence, Computer Systems, Computer-Assisted, Equipment Design, Equipment Failure Analysis, Image Enhancement, Image Interpretation, Imaging, instrumentation/methods, Interventional, methods, Pilot Projects, Reproducibility of Results, Robotics, Sensitivity, Specificity, Surgery, Three-Dimensional, Ultrasonography, User-Computer Interface},
	author = {Alexandre Krupa and Gabor Fichtinger and Gregory D. Hager}
}
