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We narrowed Medical Application to two possibilities
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1. Telemedicine / Interventional Informatics /CareWeb (SU College of Nursing, Suny HSC, NPAC, Syracuse City Scool District)2. 3D Visualization of Medical Data - Visible Human (Data available, 14 GB from National Library of Medicine)
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We have demonstrations of CareWeb which is quite similar in structure to C2 application (A3) SanD Diego, Health Info/Bridge, January Washington DC, HealthInfo, April Syracuse, Telemedicine Conference, May
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We have focused on visualization issues in 2) - 3D interactive visualization
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of human internal organs in their true form and shape
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Funded by the National Library of Medicine implemented at the University of Coloradio HSC.
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39 - year old white male who donated his body to science after being convicted of murder and sentenced to death.
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Magnetic Resonance Images (MRI - 256x256x12) - head scanned axially, the other sections scanned coronally.
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Computed Tomography (CT - 512x512x12) - soft tissue and bones.
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Anatomical color photographs - 1878 transverse slices, each 1 milimeter wide; Each slice of the original data is in a 2048x1216 pixel 24-bit color image.
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NPAC has obtained a copy of the Visible Human data set 14GB and
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license to use it.
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Female VH not downloaded : 5,000 cross sections (40 GB). Good for 3D reconstructions (cubic voxels, 0.33mm size).
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The NPAC Visible Human Viewer is an interactive graphical interface written in Java
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Java applet allows to select and view high resolution images of 2-dimensional slices (axial, coronal, sagittal) of e human body
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We have created lower resolution data for easier downloading (medium and low resolution)
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In December 1995, NPAC's Visible Human Viewer was awarded two JARS (JAVA Applet Rating Service) Awards and was featured on the February 17, 96 episode of "Computer Chronicles" on PBS In May, the Viewer received Java Cup International Award
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http://www.npac.syr.edu/projects/vishuman/VisibleHuman.html
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We have cropped the original images and removed the gelatin backgroud
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We have constructed slices in two orthogonal panels (sagittal and coronal views); aligning required - linear interpolation between slices; best fit of features as a function of translations and rotations
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The resulting images were converted to JPEG format using a 75%
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For 3D reconstruction we focused on the human head
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Image Clipper Application program (demo, written in Java) allows to cut the selected portion of the image and apply the procedure to all images in the stack (700 images XxY)
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Data stored in voxel represenation in Illustra object-relational database (x, y, z, r, g, b)
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The original dataset reduced to 70 images XxY
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Image volume must be segmented into its anatomical constituents.
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Automatic segmentation is not possible.
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Interactive, semiautomatic segmentation is time consuming (one man-year to segment 300 anatomical objects).
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Algoritms ( histogramming, thresholding, edge enhancements, non-rational uniform B-spline).
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Map Seperation methon in AVS (demo) (mussle easy, bone difficult).
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Map separation implementation in Java (demo).
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Bone tissue cannot be separated from anatomical images.
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We must come back to CT images and do aligning CT-anathomy.
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Abstract * Foil Index for this file
