Literature DB >> 9268839

Evaluating virtual endoscopy for clinical use.

D J Blezek1, R A Robb.   

Abstract

Virtual endoscopy is a term used to describe computer simulated endoscopy procedures derived from high resolution images of patient anatomy. By simulating the endoscopic examination, the patient is spared the discomfort and possible complications of an actual examination. The physician also has more flexibility in a virtual endoscopic examination of 3D patient data in comparison to a real endoscopic examination. Virtual endoscopy removes the physical and physiologic constraints of real endoscopy and can create views that are not possible in an actual endoscopic examination. This may enhance the performance of actual endoscopic examinations. Virtual endoscopy may also be used to perform "numerical biopsies"; anatomic measurements such as size, distance, shape, and density. Virtual endoscopy allows the physician to comprehensively explore the patient anatomy using an intuitive and interactive interface. There are currently two technical approaches to performing virtual endoscopy: perspective volume rendering and surface rendering of polygonal models. Perspective volume rendering uses traditional volumetric rendering algorithms to create visualizations directly from the volumetric dataset. Polygonal models require a preprocessing step to convert the segmented volume information into a polygonal surface that may be displayed at real time frame rates. Both paradigms have inherent strengths and weaknesses. We illustrate and compare the methods on actual patient data, including simulated endoscopic examinations of the airways, colon and esophagus. Preliminary results in virtual endoscopy show promise and will continue to be an area of active research leading to useful clinical applications.

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Mesh:

Year:  1997        PMID: 9268839      PMCID: PMC3452857          DOI: 10.1007/bf03168657

Source DB:  PubMed          Journal:  J Digit Imaging        ISSN: 0897-1889            Impact factor:   4.056


  2 in total

1.  Shading 3D-Images from CT Using Gray-Level Gradients.

Authors:  K H Hohne; R Bernstein
Journal:  IEEE Trans Med Imaging       Date:  1986       Impact factor: 10.048

2.  A comparison of multimodal therapy and surgery for esophageal adenocarcinoma.

Authors:  T N Walsh; N Noonan; D Hollywood; A Kelly; N Keeling; T P Hennessy
Journal:  N Engl J Med       Date:  1996-08-15       Impact factor: 91.245

  2 in total

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