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Recently we have been performing biological reconstruction for malignant bone tumors of the extremities using frozen autografts. Here we present a case treated with free vascularized fibular graft (FV...
Objective: Severe craniomaxillofacial injuries and craniomaxillofacial tumors can lead to craniomaxillofacial bone defects and deformities. Seriously affect the patients’ appearance and quality of lif...
Vascularization of the pancreatic allograft depends on the mesenteric and celiac arteries. During procurement inadvertent sectioning of the branches to the head of the pancreas can lead to ischemia an...
We present new sampling theorems for surfaces and higher dimensional manifolds. The core of the proofs resides in triangulation results for manifolds with boundary, not necessarily bounded. The method...
The problem of inter-slice magnetic resonance (MR) image reconstruction is encountered often in medical imaging applications. In such scenarios, there is a need to approximate information not captur...
Complex applications in fluid dynamics research often require more highly resolved velocity data than direct measurements or simulations provide. The advent of stereo PIV and PCMR techniques has advan...
Flow structures, hemodynamics and the hydrodynamic surgical pathway resistances of the final stage functional single ventricle reconstruction, namely the total cavopulmonary connection (TCPC) anat...
Sampling and reconstruction for biomedical image registration.
Shape Reconstruction from Endoscopic Images.
Reconstruction of segmental mandibular defects resulting from trauma, tumor resection, and congenital defects is a significant challenge. The ability to design scaffolds to fill complex anatomic defec...
Functional medical imaging promises powerful tools for the visualization and elucidation of important disease-causing biological processes in living tissue. Recent research aims to dissect the distrib...
We study the local region-of-interest (ROI) reconstruction problem, also referred to as the local CT problem. Our scheme includes two steps: (a) the local truncated normal-dose projections are extende...
Image reconstruction from nonuniformly sampled spatial frequency domain data is an important problem that arises in computed imaging. Current reconstruction techniques suffer from limitations in their...
FDK algorithm is a well-known 3D (three-dimensional) approximate algorithm for CT (computed tomography) image reconstruction and is also known to suffer from considerable artifacts when the scanning c...
Statistical image reconstruction methods based on maximum a posteriori (MAP) principle have been developed for emission tomography. The prior distribution of the unknown image plays an important role ...

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