@article {Foroughi2008,
	title = {Localization of pelvic anatomical coordinate system using US/atlas registration for total hip replacement},
	journal = {Medical image computing and computer-assisted intervention (MICCAI)},
	volume = {11},
	number = {Pt 2},
	year = {2008},
	pages = {871{\textendash}879},
	publisher = {Johns Hopkins University, Baltimore, MD, USA pezhman@cs jhu edu},
	abstract = {<p>In Total Hip Replacement (THR) procedures, misalignment of the acetabular component can lead to dislocation, impingement For the successful alignment of acetabular component, precise estimation of pelvic anatomical coordinate system is necessary Conventional navigation systems use CT scan or fluoroscopy, or involve implanted bone fiducials or invasive probing of bony landmarks to locate the anatomical coordinate In this paper, an ultrasound-based approach is proposed that exploits prior knowledge about the anatomy of the pelvis in the form of a 3D surface atlas Tracked ultrasound images are utilized to extract sample points from the surface of the pelvis A generic coordinate system in the specific patient is localized by registering these points to a statistical atlas of the pelvis in which a canonical anatomical coordinate system had been defined This technique has been evaluated using simulation, dry bone, and cadaver experiments, was able to localize the anatomical coordinate system with the accuracy of about 1 degree</p>
},
	keywords = {Algorithms, Arthroplasty, Automated, Computer-Assisted, Hip, Hip Joint, Humans, Image Enhancement, Image Interpretation, Imaging, methods, Pattern Recognition, Pelvic Bones, Replacement, Reproducibility of Results, Sensitivity, Specificity, Subtraction Technique, Surgery, surgery/ultrasonography, Three-Dimensional, Ultrasonography},
	author = {Pezhman Foroughi and Danny Y Song and Gouthami Chintalapani and Russell H. Taylor and Gabor Fichtinger}
}
@article {Boctor2006b,
	title = {Ultrasound monitoring of tissue ablation via deformation model and shape priors},
	journal = {Medical image computing and computer-assisted intervention (MICCAI)},
	volume = {9},
	number = {Pt 2},
	year = {2006},
	pages = {405{\textendash}412},
	abstract = {<p>A rapid approach to monitor ablative therapy through optimizing shape, elasticity parameters is introduced Our motivating clinical application is targeting, intraoperative monitoring of hepatic tumor thermal ablation, but the method translates to the generic problem of encapsulated stiff masses (solid organs, tumors, ablated lesions, etc ) in ultrasound imaging The approach involves the integration of the following components: a biomechanical computational model of the tissue, a correlation approach to estimate/track tissue deformation, and an optimization method to solve the inverse problem, recover the shape parameters in the volume of interest Successful convergence, reliability studies were conducted on simulated data Then ex-vivo studies were performed on 18 ex-vivo bovine liver samples previously ablated under ultrasound monitoring in controlled laboratory environment While B-mode ultrasound does not clearly identify the development of necrotic lesions, the proposed technique can potentially segment the ablation zone The same framework can also yield both partial, full elasticity reconstruction</p>
},
	keywords = {Algorithms, Animals, Automated, Biological, Cattle, Computer-Assisted, Elasticity, Hepatectomy, Image Enhancement, Image Interpretation, Imaging, Interventional, Liver, Mechanical, methods, Models, Pattern Recognition, physiology/surgery/ultrasonography, Reproducibility of Results, Sensitivity, Specificity, Statistical, Stress, Subtraction Technique, Surgery, Three-Dimensional, Ultrasonography},
	author = {Emad Boctor and Michelle de Oliveira and Michael Choti and Roger Ghanem and Russell H. Taylor and Gregory D. Hager and Gabor Fichtinger}
}
