Evaluation on Ability to Detect the Intracranial Hematoma with Different Density Using C-Arm Cone-beam Computed Tomography Based on Animal Model

• Published in: Sheng wu yi xue gong cheng xue za zhi Vol. 33; no. 1; p. 120
• Main Authors: Zhou, Mi, Zeng, Yongming, Yu, Renqiang, Zhou, Yang, Xu, Rui, Sun, Jingkun, Gao, Zhimei
• Format: Journal Article
• Language: Chinese
• Published: China 01.02.2016
• Subjects: Animals; Cone-Beam Computed Tomography; Disease Models, Animal; Dogs; Hematoma - diagnosis; Image Processing, Computer-Assisted; Intracranial Hemorrhages - diagnosis; Multidetector Computed Tomography; Signal-To-Noise Ratio
• ISSN: 1001-5515

This study aims to evaluate the ability of C-arm cone-beam CT to detect intracranial hematomas in canine models. Twenty one healthy canines were divided into seven groups and each group had three animals. Autologous blood and contrast agent (3 mL) were slowly injected into the left/right frontal lobes of each animal. Canines in the first group, the control group, were only injected with autologous blood without contrast agent. Each animal in all the 7 groups was scanned with C-arm cone-beam CT and multislice computed tomography (MSCT) after 5 minutes. The attenuation values and their standard deviations of the hematoma and uniformed brain tissues were measured to calculate the image noise, signal to noise ratio (SNR) and contrast to noise ratio (CNR). A scale with scores 1-3 was used to rate the quality of the reconstructed image of different hematoma as a subjective evaluation, and all the experimental data were processed with statistical treatment. The results revealed that when the density of hematoma was