LV chamber extraction from 3-d CT images- accuracy and precision

William Evan Higgins, Namsik Chung, Erik L. Ritman

Research output: Contribution to journalArticle

16 Scopus citations

Abstract

Measurement of left ventricular (LV) chamber volume and shape from three-dimensional (3-D) CT images, generated by the fast X-ray CT scanner known as the dynamic spatial reconstructor, has previously been done using manual slice-image editing. To reduce the exorbitant operator analysis time and operator-dependent measurement variations of manual slice-image editing, we have devised a semiautomatic method for LV-chamber extraction. The method draws upon a minimum requirement for selective manual slice-image editing and mostly makes use of automatic image-analysis operations. Detailed validation results over a wide range of hemodynamic and image-analysis conditions show that the measurements of the semiautomatic method strongly correlate with those made via manual slice-image editing and exhibit a lower intertrial variability. Further, the method reduces operator interaction time by nearly an order of magnitude over that of manual slice image editing, but provides more detailed 3-D structural definition.

Original languageEnglish (US)
Pages (from-to)17-26
Number of pages10
JournalComputerized Medical Imaging and Graphics
Volume16
Issue number1
DOIs
StatePublished - Jan 1 1992

All Science Journal Classification (ASJC) codes

  • Radiological and Ultrasound Technology
  • Radiology Nuclear Medicine and imaging
  • Computer Vision and Pattern Recognition
  • Health Informatics
  • Computer Graphics and Computer-Aided Design

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