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2007

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Articles 1 - 6 of 6

Full-Text Articles in Bioimaging and Biomedical Optics

Assessment Of Human Trabecular Architecture In The Pubis By Three Radiographic Modalities, Andrew D. Wade, Andrew J. Nelson, Gregory J. Garvin, David W. Holdsworth Nov 2007

Assessment Of Human Trabecular Architecture In The Pubis By Three Radiographic Modalities, Andrew D. Wade, Andrew J. Nelson, Gregory J. Garvin, David W. Holdsworth

Anthropology Presentations

This poster discusses technical aspects of an investigation into the use of non-destructive radiological analyses of pubic cancellous bone structure to estimate age-at-death from human skeletal remains. This study stems from findings, in X-ray plain films, of increased rarification and orientation of trabeculae with age [1]; likely in concert with the macroscopic remodelling of the symphyseal surface currently used in estimation of age-at-death.

The study uses three non-destructive X-ray imaging modalities: plain film radiography, computed tomography (CT), and micro-CT (μCT). Plain film radiography has greater spatial resolution than CT [2] and is relatively inexpensive, widely available, and, with portable X-ray …


Image-Guided Diffuse Optical Fluorescence Tomography Implemented With Laplacian-Type Regularization, Scott C. Davis, Hamid Dehghani, Jia Wang, Shudong Jiang, Brian W. Pogue, Keith D. Paulsen Apr 2007

Image-Guided Diffuse Optical Fluorescence Tomography Implemented With Laplacian-Type Regularization, Scott C. Davis, Hamid Dehghani, Jia Wang, Shudong Jiang, Brian W. Pogue, Keith D. Paulsen

Dartmouth Scholarship

A promising method to incorporate tissue structural information into the reconstruction of diffusion-based fluorescence imaging is introduced. The method regularizes the inversion problem with a Laplacian-type matrix, which inherently smoothes pre-defined tissue, but allows discontinuities between adjacent regions. The technique is most appropriately used when fluorescence tomography is combined with structural imaging systems. Phantom and simulation studies were used to illustrate significant improvements in quantitative imaging and linearity of response with the new algorithm. Images of an inclusion containing the fluorophore Lutetium Texaphyrin (Lutex) embedded in a cylindrical phantom are more accurate than in situations where no structural information is …


3d Thoracoscopic Ultrasound Volume Measurement Validation In An Ex Vivo And In Vivo Porcine Model Of Lung Tumours, V. Hornblower, E. Yu, A. Fenster, J. Battista, R. Malthaner Jan 2007

3d Thoracoscopic Ultrasound Volume Measurement Validation In An Ex Vivo And In Vivo Porcine Model Of Lung Tumours, V. Hornblower, E. Yu, A. Fenster, J. Battista, R. Malthaner

Edward Yu

The purpose of this study was to validate the accuracy and reliability of volume measurements obtained using three-dimensional (3D) thoracoscopic ultrasound (US) imaging. Artificial "tumours" were created by injecting a liquid agar mixture into spherical moulds of known volume. Once solidified, the "tumours" were implanted into the lung tissue in both a porcine lung sample ex vivo and a surgical porcine model in vivo. 3D US images were created by mechanically rotating the thoracoscopic ultrasound probe about its long axis while the transducer was maintained in close contact with the tissue. Volume measurements were made by one observer using the …


Noninvasive Quantification Of Fluid Mechanical Energy Losses In The Total Cavopulmonary Connection With Magnetic Resonance Phase Velocity Mapping, Anand K. Venkatachari, Sandra S. Halliburton, Randolph M. Setser, Richard D. White, George P. Chatzimavroudis Jan 2007

Noninvasive Quantification Of Fluid Mechanical Energy Losses In The Total Cavopulmonary Connection With Magnetic Resonance Phase Velocity Mapping, Anand K. Venkatachari, Sandra S. Halliburton, Randolph M. Setser, Richard D. White, George P. Chatzimavroudis

Chemical & Biomedical Engineering Faculty Publications

A major determinant of the success of surgical vascular modifications, such as the total cavopulmonary connection (TCPC), is the energetic efficiency that is assessed by calculating the mechanical energy loss of blood flow through the new connection. Currently, however, to determine the energy loss, invasive pressure measurements are necessary. Therefore, this study evaluated the feasibility of the viscous dissipation (VD) method, which has the potential to provide the energy loss without the need for invasive pressure measurements. Two experimental phantoms, a U-shaped tube and a glass TCPC, were scanned in a magnetic resonance (MR) imaging scanner and the images were …


Orthogonal Linear Regression In Roentgen Stereophotogrammetry, Patrick Atkinson, Jesse V. Benny, Brian J. Mccartin Jan 2007

Orthogonal Linear Regression In Roentgen Stereophotogrammetry, Patrick Atkinson, Jesse V. Benny, Brian J. Mccartin

Mechanical Engineering Publications

Rooted in aerial reconnaissance, mathematical photogrammetry has evolved into a mainstay of biomedical image processing. The present paper develops an algorithm for Roentgen stereophotogrammetry, a method of imaging musculoskeletal systems both static and dynamic, which incorporates a number of novel features employing techniques from projective geometry, orthogonal regression and least squares approximation. Theoretical and numerical evidence is presented of the efficacy of the proposed procedure.


Using Pareto Fronts To Evaluate Polyp Detection Algorithms For Ct Colonography, Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara Jan 2007

Using Pareto Fronts To Evaluate Polyp Detection Algorithms For Ct Colonography, Adam Huang, Jiang Li, Ronald M. Summers, Nicholas Petrick, Amy K. Hara

Electrical & Computer Engineering Faculty Publications

We evaluate and improve an existing curvature-based region growing algorithm for colonic polyp detection for our CT colonography (CTC) computer-aided detection (CAD) system by using Pareto fronts. The performance of a polyp detection algorithm involves two conflicting objectives, minimizing both false negative (FN) and false positive (FP) detection rates. This problem does not produce a single optimal solution but a set of solutions known as a Pareto front. Any solution in a Pareto front can only outperform other solutions in one of the two competing objectives. Using evolutionary algorithms to find the Pareto fronts for multi-objective optimization problems has been …