Videodensitometric Techniques in Digital Subtraction Videoangiography

Shaw, Chorng-Gang; Ergun, David L.; Lysel, Michael S. Van; Zarnstorff, William C.; Mistretta, Charles A.; Myerowitz, P. David; Strother, Charles M.; Dhanani, Shiraz P.; Crummy, Andrew B.; Dobbins, James T.; Peppler, W.

doi:10.1097/00004424-198109000-00074

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“…It would be desirable to utilize grey level information to obtain inhomogeneity data in a manner analogous to the use of CT numbers to infer electron density. Several authors have investigated the quantitative meaning of digital fluoroscopic images (13,14,15). Although spatial distortion due to image receptor curvature and electronic distortion was found to be correctable by coordinate transformation, grey level quantification and calibration was much more difficult since it depended not only upon attenuation coefficient and path length, but also upon beam hardening, scattered radiation, veiling glare, image receptor curvature, system nonlinearities and system drifts.…”

Section: Image Segmentation Using Backprojection and Three Dimensionamentioning

confidence: 99%

<title>A Study Of The Potential For Digital Radiographic Data Acquisition For Radiation Therapy Treatment Planning</title>

1983

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While the quantitative nature of digital fluroscopic and digital radiographic imaging would seem to make possible many radiotherapeutic applications, significant problems must first be solved.The purpose of this study is to examine the potential benefits of digital imaging in radiation therapy, identify what problems must be solved to attain these benefits, and attempt to make some assessment as to the relative merits of developing such technologies.Among the potential benefits are ability to do contrast -subtraction studies for tumor and /or normal structure localization and portal placement, digital simulation of portal placement and treatment delivery, spatial localization and digitization of inhomogeneity boundaries, spatial localization and digitization of brachytherapy sources, and quantitative inhomogeneity acquisition for dosimetry calculations. Significant problems which must be solved include image receptor size limitations, image acquisition geometry related spatial distortion, three dimensional region calculation from limited views, and physical interpretation of digital image grey levels.

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Section: Image Segmentation Using Backprojection and Three Dimensionamentioning

confidence: 99%