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Biomedical Engineering and Bioengineering Commons™
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Full-Text Articles in Biomedical Engineering and Bioengineering
Acceleration Of Digital Tomosynthesis Mammography Using Graphics Processors, Diego Rivera, Micha Moffie, Dana Schaa, David Kaeli
Acceleration Of Digital Tomosynthesis Mammography Using Graphics Processors, Diego Rivera, Micha Moffie, Dana Schaa, David Kaeli
David Kaeli
The objective of this poster is to help to improve the efficiency of early breast cancer detection and minimize the processing cost of the Digital Breast Tomosynthesis Mammography technique.
Development Of Visualization Tools For 4d Ct Datasets, Burak Erem, David Kaeli, Dana Brooks, George Chen
Development Of Visualization Tools For 4d Ct Datasets, Burak Erem, David Kaeli, Dana Brooks, George Chen
David Kaeli
The objective of this poster is to develop a set of tools to effectively visualize, measure, and annotate 4D (3D + time) Computed Tomography (CT) images of radiation oncology patients for both research and clinical applications. Currently, radiotherapy treatment planning utilizes a 2D perspective of 4D data, thereby reducing the amount of information visually available. This information, such as the shape, movement and location of a tumor is critical in treatment planning. These tools are designed to both improve a user's perspective and analysis of tumor shape, motion, and location during respiration. Furthermore, measurement and annotation tools are designed to …
Development Of Visualization Tools For 4d Ct Datasets, Burak Erem, David Kaeli, Dana Brooks, George Chen
Development Of Visualization Tools For 4d Ct Datasets, Burak Erem, David Kaeli, Dana Brooks, George Chen
Dana Brooks
The objective of this poster is to develop a set of tools to effectively visualize, measure, and annotate 4D (3D + time) Computed Tomography (CT) images of radiation oncology patients for both research and clinical applications. Currently, radiotherapy treatment planning utilizes a 2D perspective of 4D data, thereby reducing the amount of information visually available. This information, such as the shape, movement and location of a tumor is critical in treatment planning. These tools are designed to both improve a user's perspective and analysis of tumor shape, motion, and location during respiration. Furthermore, measurement and annotation tools are designed to …
Matlab-Based Finite Difference Frequency-Domain Method For Microwave Breast Imaging, Qiuzhao Dong, Carey Rappaport
Matlab-Based Finite Difference Frequency-Domain Method For Microwave Breast Imaging, Qiuzhao Dong, Carey Rappaport
Carey Rappaport
The FDFD electromagnetic model computes wave scattering by directly discretizing 's equations along with specifying the material characteristics in the scattering volume. No boundary conditions are need except for the outer grid termination absorbing boundary. We use a sparse matrix Matlab code with loose generalized minimum residue (LGMRES) Krylov subspace iterative method to solve the large sparse matrix equation, along with the Perfectly Matched Layer (PML) absorbing boundary condition. The PML conductivity profile employs the empirical optimal value from[1-2]. This method is easily manipulated and general-geometry oriented, it is fast comparing to other models for solving the whole 3D computational …
Multi-Spectral Reflectance Confocal Microscopy On Skin, Tianchen Shi, Charles Dimarzio
Multi-Spectral Reflectance Confocal Microscopy On Skin, Tianchen Shi, Charles Dimarzio
Charles A. DiMarzio
Reflectance confocal microscopy is a powerful in-vivo modality for imaging superficial layers of biological tissue, especially for human skin. Three dimensional imaging capability enables confocal microscopy to resolve structures of upper skin layer cells. However, sub-celluar structure and corresponding functional organelles play more important parts in skin diseases diagnosis and monitoring. We present a new multi-spectral reflectance confocal microscopy to achieve sub-celluar functional imaging in skin by utilizing our unique Keck multi-modality microscope. Spectral information and a modified Mie scattering model are incorporated to identify distribution of melanin and mitochondria in cells. Ex-vivo and phantom experimental results are presented. Further …