This thesis describes the development and applications of a new, high-speed, non-invasive, radiographic method by which the orientational and configurational characteristics of an internal human organ can be determined. The application of the method requires the organ to possess a radiologically recognizable contour seen simultaneously by two X-ray sources. / The method does not rely on the existence of anatomical landmarks or implanted artifacts, neither is any prior information about the general orientation of the contour necessary, nor does the operator need to have stereoscopic acuity. / In the presentation, first the developed algorithm is analyzed then the method is described in terms of general requirements and execution. Subsequent chapters deal with the sensitivity and accuracy considerations and the potential of the technique is demonstrated in a series of simulation experiments showing that the accuracy of the method is basically limited only by the digital process employed. / The practical feasibility of the method is demonstrated in a series of in-vivo experiments involving vertebrae of scoliotic and non-scoliotic subjects. The results of these experiments show that, in the case of vertebral bodies, such characteristics as inclination, torsion, wedge angle and true shape can be routinely determined with an accuracy of about 2 degrees angular and 0.2 cm linear.
| Identifer | oai:union.ndltd.org:LACETR/oai:collectionscanada.gc.ca:QMM.77150 |
| Date | January 1981 |
| Creators | Szirtes, Thomas. |
| Publisher | McGill University |
| Source Sets | Library and Archives Canada ETDs Repository / Centre d'archives des thèses électroniques de Bibliothèque et Archives Canada |
| Language | English |
| Detected Language | English |
| Type | Electronic Thesis or Dissertation |
| Format | application/pdf |
| Coverage | Doctor of Philosophy (Department of Mechanical Engineering) |
| Rights | All items in eScholarship@McGill are protected by copyright with all rights reserved unless otherwise indicated. |
| Relation | alephsysno: 000139592, proquestno: AAINK58096, Theses scanned by UMI/ProQuest. |
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