Automated volumetry of postoperative skull defect on brain CT

Ke Chun Huang, Chun Chih Liao, Furen Xiao, Charles Chih Ho Liu, I. Jen Chiang, Jau Min Wong

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1 Citation (Scopus)

Abstract

The volume of the skull defect should be one of the most important quantitative measures for decompressive craniectomy. However, there has been no study focusing on automated estimation of the volume from postoperative computed tomography (CT). This study develops and validates three methods that can automatically locate, recover and measure the missing skull region based on symmetry without preoperative images. The low resolution estimate (LRE) method involves downsizing CT images, finding the axis of symmetry for each slice, and estimating the location and size of the missing skull regions. The intact mid-sagittal plane (iMSP) can be defined either by dimension-by-dimension (DBD) method as a global symmetry plane or by Liu's method as a regression from each slices. The skull defect volume can then be calculated by skull volume difference (SVD) with respect to each iMSP. During a 48-month period between July 2006 and June 2010 at a regional hospital in northern Taiwan, we collected 30 sets of nonvolumetric CT images after craniectomies. Three board-certified neurosurgeons perform computer-assisted volumetric analysis of skull defect volume VMan as the gold standard for evaluating the performance of our algorithm. We compare the error of the three volumetry methods. The error of VLRE is smaller than that of VLiu (p <0.0001) and VDBD (p = 0.034). The error of VDBD is significant smaller than that of VLiu (p = 0.001). The correlation coefficients between VMan and VLRE, VLiu, VDBD are 0.98, 0.88 and 0.95, respectively. In conclusion, these methods can help to define the skull defect volume in postoperative images and provide information of the immediate volume gain after decompressive craniectomies. The iMSP of the postoperative skull can be reliably identified using the DBD method.

Original languageEnglish
Article number1350033
JournalBiomedical Engineering - Applications, Basis and Communications
Volume25
Issue number3
DOIs
Publication statusPublished - Jun 2013

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Keywords

  • Computed tomography
  • Computer-aided diagnosis
  • Decompressive craniectomy
  • Skull bone defect

ASJC Scopus subject areas

  • Biophysics
  • Biomedical Engineering
  • Bioengineering

Cite this

Huang, K. C., Liao, C. C., Xiao, F., Liu, C. C. H., Chiang, I. J., & Wong, J. M. (2013). Automated volumetry of postoperative skull defect on brain CT. Biomedical Engineering - Applications, Basis and Communications, 25(3), [1350033]. https://doi.org/10.4015/S1016237213500336