The Visible Human Project planned and promoted by National Library of Medicine (NLM) provides cryosection images of the normal male and female human bodies. The anatomy of human vocal organ is difficult to understand and to imagine due to its complexity. The purpose of this study is to develop the three-dimensionally computerized atlas of the human vocal organ using Visible Human male dataset. A self-developed program with C language and a recent personal computer can show specific organs and structures separately or together, rotate them at three axes, cross-section them transparently at any angles, and zoom them in and out. As a result, our own PC-based program will be a more interactive, more detailed, and more realistic three-dimensional computerized atlas of a human vocal organ including larygopharynx.
KEYWORDS: Image segmentation, Cartilage, Blood vessels, 3D image processing, Computed tomography, Bone, 3D acquisition, Medical imaging, 3D displays, Target detection
This paper proposes a method that segments an object in 3D image slices by tracking not only the target objects to segment but also adjacent non-target objects. The tracking methodology enables the proposed method to detect and prevent a leakage, which is one of the most challenging problems in medical image segmentation. The method also provides an efficient way of modification of segmentation results by informing only suspicious image slices because of a leakage. The proposed method is applied to segment vertebrae in angio image slices in which blood vessels are enhanced with contrast media, and produced promising results in terms of both accuracy and efficiency.
This paper proposes an approach integrating multiple segmentation methods in a systematic way, which can improve overall accuracy without deteriorating accuracy of highly confident segments of a boundary. A segmentation method produces boundary segments, which are then evaluated with an evaluation function considering pros/cons of the current and next methods to apply. Boundary segments with low confidence are replaced by next method while the other segments are kept. These steps are repeated until all segmentation methods are applied. Coarser and more robust method is applied earlier than the others. The proposed approach is implemented for the segmentation of muscles in the Visible Human color images. A balloon method, a minimum cost path finding method, and a Seeded Region Growing method are integrated. The final segmentation results showed improvements in both overall evaluation and segment-based evaluation.
KEYWORDS: Picture Archiving and Communication System, Radiology, Diagnostics, System integration, Software development, Clinical trials, Electronics, Windows NT, Sun, Internet
As increasing number of medical facilities are introducing PACS, the needs to interconnect PAC systems are also increased. Although the primary goal of PACS is to enable distribution of radiologic images electronically within hospital and thus assist patient care more efficiently, inter-networking of multiple facility PAC systems can create additional application area and bring about clinical impact. By inter-networking multiple facility PACS, exams can be automatically routed to the remote radiologist when the local radiologist is not available such as during the off- duty hours and vacations. Physicians and radiologists can also benefit from the inter-networking of PACS by making telesconsultation of special cases with remote subspecialty radiologists which can lead to improved diagnostic accuracy and confidence. In this study, we attempted to develop an inter-networking system among the multi-facility PAC systems which can be used for image data transfer and telesconsultation by establishing the ISDN intranet and developing a Web based DICOM white board.
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