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- Productivity
- a measurement of the efficiency of production, taking the form of a ratio of the output of goods and services to the input of factors of production. Labor productivity takes...
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- 3D Analysis of Radiofrequency-Ablated Tumors in Liver: A Computer-Aided Diagnosis Tool for Early Detection of Local Recurrences
- Radiofrequency ablation is being used increasingly in the treatment of liver tumors, and the detection of local recurrences on follow-up imaging is an important and occasionally challenging task. When the tumor is not associated with nodular enhancement, recurrence detection only relies on a precise identification of shape changes in the...
- White papers 2004-08-30
- Anisotropic Interpolation of DT-MRI
- Diffusion tensor MRI (DT-MRI) is an image modality that is gaining clinical importance. After some preliminaries that describe the fundamentals of this imaging modality, they present a new technique to interpolate the diffusion tensor field, preserving boundaries and the constraint of positive-semi definiteness. Their approach is based on the use...
- White papers 2004-09-01
- Interface Detection in Diffusion Tensor MRI
- This paper presents a new method for detecting the interface, or edge, structure present in diffusion MRI. Interface detection is an important first step for applications including segmentation and registration. Additionally, due to the higher dimensionality of tensor data, humans are visually unable to detect edges as easily as in...
- White papers 2004-09-01
- Landmark-Guided Surface Matching and Volumetric Warping for Improved Prostate Biopsy Targeting and Guidance
- This paper presents a composite method for landmark-guided surface matching and volumetric non-rigid registration, with an application to prostate biopsy. The two-step method, based primarily on finite element and thin-plate spline techniques, consists of a boundary matching process, followed by a volumetric warping step. In practice, the boundary matching method...
- White papers 2004-08-30
- Tensor Field Regularization Using Normalized Convolution
- This paper presents a filtering technique for regularizing tensor fields. It uses a nonlinear filtering technique termed normalized convolution, a general method for filtering missing and uncertain data. In the present work we extend the signal certainty function to depend on locally derived certainty information in addition to the priory...
- White papers 2004-04-13
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