Quantitative Analysis of Three-dimensional Rendered Imaging of the Human Skull Acquired from Multi-Detector Row Computed Tomography
| Autor: | Yong Kim, Soonil Hong, Haijo Jung, Sun Kook Yoo, Hee-Joung Kim, Dong-Ook Kim, Hyung S. Yoo, Ha-Kyu Jeong, Kee-Deog Kim |
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| Rok vydání: | 2002 |
| Předmět: |
Computer science
Slice thickness Computed tomography Quantitative accuracy Article Human skull Imaging Three-Dimensional Reference Values Skull surface Cadaver Image Processing Computer-Assisted medicine Humans Radiology Nuclear Medicine and imaging Computer vision Analysis of Variance Radiological and Ultrasound Technology medicine.diagnostic_test business.industry Skull Multi detector Computer Science Applications medicine.anatomical_structure Distance measurement Reference values Artificial intelligence Tomography X-Ray Computed business Nuclear medicine |
| Zdroj: | Journal of Digital Imaging. 15:232-239 |
| ISSN: | 1618-727X 0897-1889 |
| DOI: | 10.1007/s10278-002-0031-6 |
| Popis: | The purpose of this study was to evaluate the quantitative accuracy of three-dimensional (3D) rendered images acquired with multi-detector row computed tomography (MDCT) by means of distance measurements of a dry human skull for various slice thicknesses and acquisition modes. A radiologist directly measured the distance of line items on the skull surface to establish reference "gold standards." The skull specimen was scanned with a MDCT with various scanning parameters (slice thicknesses and acquisition modes). An observer measured the corresponding distances of the same items on 3D rendered images. The quantitative accuracy of distance measurements was statistically evaluated. There were no significant statistical differences (P value |
| Databáze: | OpenAIRE |
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