title: Accuracy and efficiency of computer-aided anatomical analysis using 3D visualization software based on semi-automated and automated segmentations.
abstract: OBJECTIVE
  We investigated and compared the functionality of two 3D visualization software provided by a CT vendor and a third-party vendor, respectively. Using surgical anatomical measurement as baseline, we evaluated the accuracy of 3D visualization and verified their utility in computer-aided anatomical analysis.
  
  
  METHODS
  The study cohort consisted of 50 adult cadavers fixed with the classical formaldehyde method. The computer-aided anatomical analysis was based on CT images (in DICOM format) acquired by helical scan with contrast enhancement, using a CT vendor provided 3D visualization workstation (Syngo) and a third-party 3D visualization software (Mimics) that was installed on a PC. Automated and semi-automated segmentations were utilized in the 3D visualization workstation and software, respectively. The functionality and efficiency of automated and semi-automated segmentation methods were compared. Using surgical anatomical measurement as a baseline, the accuracy of 3D visualization based on automated and semi-automated segmentations was quantitatively compared.
  
  
  RESULTS
  In semi-automated segmentation, the Mimics 3D visualization software outperformed the Syngo 3D visualization workstation. No significant difference was observed in anatomical data measurement by the Syngo 3D visualization workstation and the Mimics 3D visualization software (P>0.05).
  
  
  CONCLUSIONS
  Both the Syngo 3D visualization workstation provided by a CT vendor and the Mimics 3D visualization software by a third-party vendor possessed the needed functionality, efficiency and accuracy for computer-aided anatomical analysis.
authors.affiliation: Department of Anatomy, University of South China, Hengyang, China.
authors.forename: Gao
authors.initials: G
authors.lastname: An
authors.affiliation: Department of Anatomy, University of South China, Hengyang, China. Electronic address: 412160937@qq.com.
authors.forename: Li
authors.initials: L
authors.lastname: Hong
authors.affiliation: Department of Anatomy, University of South China, Hengyang, China.
authors.forename: Xiao-Bing
authors.initials: XB
authors.lastname: Zhou
authors.affiliation: Department of Medical Imaging, University of South China, Hengyang, China.
authors.forename: Qiong
authors.initials: Q
authors.lastname: Yang
authors.affiliation: Surgical Department of Second Affiliated Hospital, University of South China, Hengyang, China.
authors.forename: Mei-Qing
authors.initials: MQ
authors.lastname: Li
authors.affiliation: Department of Radiology & Imaging Sciences Emory-GaTech, Department of Biomedical Engineering, Emory School of Medicine, Emory University Atlanta, United States. Electronic address: Xiang_yang_Tang@163.com.
authors.forename: Xiang-Yang
authors.initials: XY
authors.lastname: Tang
mesh_terms: D000328:Adult; D001158:Arteries / Q000033:anatomy & histology; D001331:Automation; D001842:Bone and Bones / Q000033:anatomy & histology; D002102:Cadaver; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D012867:Skin / Q000033:anatomy & histology; D012984:Software; D014057:Tomography, X-Ray Computed
keywords: 3D model; 3D visualization; Anatomy; Computer-aided anatomical analysis; Computer-aided anatomy; Semi-automated segmentation