Showing papers by "Peter Bajcsy published in 2007"
TL;DR: Methods to stitch overlapping confocal z-series together to extend the surface area of interest well beyond that captured by the confocal microscope objective and developed methods to quantify the distribution of markers of interest in 3 dimensions are developed.
Abstract: We previously described techniques to generate 3D reconstructions of the tumor microcirculation using immunofluorescence histochemistry and laser scanning confocal microscopy on serial sections from archival formalin-fixed, paraffin embedded tissues. By aligning sequential z-stacks in an immersive visualization environment (ImmersaDesk), the need to insert fiduciary markers into tissue was eliminated. In this study, we developed methods to stitch overlapping confocal z-series together to extend the surface area of interest well beyond that captured by the confocal microscope objective and developed methods to quantify the distribution of markers of interest in three dimensions. These techniques were applied to the problem of comparing the surface area of non-endothelial cell lined, laminin-rich looping vasculogenic mimicry (VM) patterns, that are known to transmit fluid, with the surface area of endothelial cell lined vessels in metastatic uveal melanoma to the liver in three dimensions. After labeling sections with antibodies to CD34 and laminin, the surface area of VM patterns to vessels was calculated by segmenting out structures that labeled with laminin but not with CD34 from those structures labeling with CD34, or CD34 and laminin. In metastatic uveal melanoma tissues featuring co-localization of high microvascular density [66.4 microvessels adjusted for 0.313 mm 2 area (range 56.7-72.7)] and vasculogenic mimicry patterning, the surface area of vasculogenic mimicry patterns was 11.6 fold greater (range 10.8-14.1) than the surface provided by CD34-positive vessels. These methods may be extended to visualize and quantify molecular markers in three dimensions in a variety of pathological entities from archival paraffin embedded tissues.
18 citations
13 Dec 2007
TL;DR: The objective is to support computer-assisted creation of medical records, to guarantee authenticity of records, as well as to allow managers of electronic medical records (EMR), archivists and other users to explore and evaluate computational costs depending on several key characteristics of appraised records.
Abstract: This paper addresses the problem of understanding preservation and reconstruction requirements for computer- aided medical decision-making. With an increasing number of computer-aided decisions having a large impact on our society, the motivation for our work is not only to document these decision processes semi-automatically but also to understand the preservation cost and related computational requirements. Our objective is to support computer-assisted creation of medical records, to guarantee authenticity of records, as well as to allow managers of electronic medical records (EMR), archivists and other users to explore and evaluate computational costs (e.g., storage and processing time) depending on several key characteristics of appraised records. Our approach to this problem is based on designing an exploratory simulation framework for investigating preservation tradeoffs and assisting in appraisals of electronic records. We have a prototype simulation framework called image provenance to learn (IP2Learn) to support computer-aided medical decisions based on visual image inspection. The current software enables to explore some of the tradeoffs related to (1) information granularity (category and level of detail), (2) representation of provenance information, (3) compression, (4) encryption, (5) watermarking and steganography, (6) information gathering mechanism, and (7) final medical report content (level of detail) and its format. We illustrate the novelty of IP2Learn by performing example studies and the results of tradeoff analyses for a specific image inspection task.
2 citations
01 Dec 2007
TL;DR: Lin et al. as discussed by the authors proposed Lin et al.'s work in the context of the National Center for Super Computing Applications Faculty Fellow Program (NCSAP) at the University of Illinois at Urbana-Champaign.
Abstract: Yu-Feng Lin1, Peter Bajcsy2, Albert J Valocchi3, Chulyun Kim2, and Jihua Wang3, ({yflin, pbajcsy, ckim5, valocchi, jwang41}@uiucedu) 1 Illinois State Water Survey, 2 National Center for Supercomputing Applications, 3 Department of Civil and Environmental Engineering at the University of Illinois at Urbana-Champaign Sponsors: National Center for Supercomputing Applications Faculty Fellow Program , US Geological Survey / National Institutes for Water Resources National Competitive Grants
2 citations