Measurement of the Orbital Soft Tissue Volume in Chinese Adults Based on Three-Dimensional CT Reconstruction

Du, Yi; Lu, Bing-Yao; Chen, Jun; He, Jianfeng

doi:10.1155/2019/9721085

Cited by 16 publications

(15 citation statements)

References 17 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…On the other hand, it has caused many problems for digital measurement and evaluation: the axis of measuring specific indicators is challenging to find and specific values cannot be evaluated due to patients’ position or scanning range. Besides, the measured values on the left and right sides are not comparable (4).…”

Section: Introductionmentioning

confidence: 99%

Automatic orbital computed tomography coordinating method and quantitative error evaluation based on signed distance field

Zhai

Yin

et al. 2020

Acta Radiol

View full text Add to dashboard Cite

Background Orbital computed tomography (CT) is commonly used for the diagnosis and digital evaluation of orbital diseases. Yet, this approach requires longer scanning time, increased radiation exposure, and, especially, difficult patient positioning that can affect judgment and data processing. According to high-quality research on orbital imaging, computer-assisted surgery, and artificial intelligent diagnostic development, the correction of a coordinate system is a necessary procedure. Nevertheless, existing manual calibration methods are challenging to reproduce and there is no objective evaluation system for errors. Purpose To establish a method for automatic calibration of orbital CT images and implementation of quantitative error evaluation. Material and Methods A standard three-dimensional (3D) orbit model was manually adjusted, and optimized orbital models were reconstructed based on the initial registration of the skull-bound directed bounding box and the registration of the mutual information method. The calibration error was calculated based on the signed distance field. Seventeen cases of orbital CT were quantitatively evaluated. Results A new method for automatic calibration and quantitative error evaluation for orbital CT was established. The calibrated model error with ±2 mm accounted for 81.61% ± 6.91% of the total models, and the error of ±1 mm accounted for 53.49% ± 7.07% of the total models. Conclusion This convenient tool for orbital CT automatic calibration may promote the related quantitative research based on orbital CT. The automated operation and small error are beneficial to the popularization and application of the tool, and the quantitative evaluation facilitates other coordinate systems.

show abstract

Section: Introductionmentioning

confidence: 99%

Automatic orbital computed tomography coordinating method and quantitative error evaluation based on signed distance field

Zhai

Yin

et al. 2020

Acta Radiol

View full text Add to dashboard Cite

show abstract

“…Additionally, Mimics software, as a powerful analytical tool has been reported to be frequently applied in processing the CT-based 3D images. Briefly, in orbital diseases, the CT images of patients were used to reconstruct a 3D model of the orbital bony cavity, orbital fat, extraocular muscle, and intraorbital optic nerve using Mimics software 10 . Mimics provided detailed quantification ossification of the posterior longitudinal ligament (OPLL) volume with minimal error of inter-and intra-observer reliability in the measurement of OPLL 11 .…”

Section: Introductionmentioning

confidence: 99%

Accuracy and Reliability of Computer‐aided Anatomical Measurements for Vertebral Body and Disc Based on Computed Tomography Scans

Yao

Dong

Sun

et al. 2020

Orthopaedic Surgery

View full text Add to dashboard Cite

Objective To assess whether the computed tomography (CT)‐based method of three‐dimensional (3D) analysis (Mimics) was accurate and reliable for spine surgical anatomical measurements. Methods A total of 40 lumbar segments and 32 inter‐vertebral discs from eigth adult male cadavers without fractures or deformities fixed with the classical formaldehyde method were included in this research on 5 June 2017. CT scans including seven dimensions: anterior height of the vertebral body (VBHa), middle height of the vertebral body (VBHm), posterior height of the vertebral body (VBHp), width of the upper endplate (EPWu), depth of the upper endplate (EPDu), anterior height of the inter‐vertebral disc in the median sagittal plane (IDHa), and posterior height of the inter‐vertebral disc in the median sagittal plane (IDHp). They were performed based on uniform conditions (slice thickness: 0.625 mm) using a CT scanner on 8 June 2017. Afterwards, the surgical anatomical measurements were conducted with a Vernier caliper on 12 June 2017. The computer‐aided anatomical measurements were conducted by three investigators using Mimics 16.0 to perform 3D reconstructions of CT bone on 16 June 2017. Finally, the length and angle were measured with associated measurement tools, yielding a verified accuracy of 0.01 mm and 0.01°, respectively. Each measurement was repeated three times, and all anatomical data was analyzed using the statistical software and P‐value < 0.05 was considered statistically significant. Results The results showed no statistically significant difference was observed between the surgical anatomical and computer‐aided anatomical measurements (P > 0.05) for lumbar vertebra measurements, and the absolute difference between surgical and computer‐aided data were all less than 1.0 mm (for the VBHa, VBHm, VBHp, EPWu, and EPDu were 0.12, 0.03, 0.03, 0.31, and 0.03 mm, respectively). Moreover, although the absolute differences of discs was larger than those of lumbar vertebras, no significant differences were detected between the computer‐aided and surgical anatomical measurements for the IDHa, as well as IDHp in the vast majority of measurements (P = 0.543, 0.079 or 0.052 for IDHa, and P = 0.212, 0.133 or 0.042 for IDHp). In addition, excellent reliability correlation was observed between the measurements of each investigator, and the reliability coefficients in the intra‐groups were all greater than 0.9 except for IDHp (reliability coefficient = 0.892). Additionally, the reliability coefficients were greater than 0.9 for the all between‐group correlations, and a significant correlation was also observed. Furthermore, no statistically significant difference for three anatomical values was found in the computer‐assisted measurements of the lumbar bone structure (P > 0.05). Similarly, we did not observe a statistical difference in the anatomical data of the lumbar discs from the three measures (P > 0.05). Conclusions Computer‐aided anatomical measurement for spine based on CT scans presents the high accuracy and reliability for ...

show abstract

“…Orbital soft tissues, including extraocular muscles and intraorbital fat, are the important components of orbital contents, accounting for approximately 50% of orbital cavity volume [1,2]. Volume or distribution changes of the soft tissue caused by orbital trauma and orbital relative diseases (such as orbital fracture, thyroid-associated ophthalmopathy (TAO), intraorbital tumor and so on) may lead to diplopia, restricted ocular movement and even impairment of visual function [3,4].…”

Section: Introductionmentioning

confidence: 99%

An accurate interactive segmentation and volume calculation of orbital soft tissue for orbital reconstruction after enucleation

Ning

Gao

et al. 2019

BMC Ophthalmol

View full text Add to dashboard Cite

Background: Accurate measurement and reconstruction of orbital soft tissue is important to diagnosis and treatment of orbital diseases. This study applied an interactive graph cut method to orbital soft tissue precise segmentation and calculation in computerized tomography (CT) images, and to estimate its application in orbital reconstruction. Methods: The interactive graph cut method was introduced to segment extraocular muscle and intraorbital fat in CT images. Intra-and inter-observer variability of tissue volume measured by graph cut segmentation was validated. Accuracy and reliability of the method was accessed by comparing with manual delineation and commercial medical image software. Intraorbital structure of 10 patients after enucleation surgery was reconstructed based on graph cut segmentation and soft tissue volume were compared within two different surgical techniques. Results: Both muscle and fat tissue segmentation results of graph cut method showed good consistency with ground truth in phantom data. There were no significant differences in muscle calculations between observers or segmental methods (p > 0.05). Graph cut results of fat tissue had coincidental variable trend with ground truth which could identify 0.1cm 3 variation. The mean performance time of graph cut segmentation was significantly shorter than manual delineation and commercial software (p < 0.001). Jaccard similarity and Dice coefficient of graph cut method were 0.767 ± 0.045 and 0.836 ± 0.032 for human normal extraocular muscle segmentation. The measurements of fat tissue were significantly better in graph cut than those in commercial software (p < 0.05). Orbital soft tissue volume was decreased in post-enucleation orbit than that in normal orbit (p < 0.05). Conclusion: The graph cut method was validated to have good accuracy, reliability and efficiency in orbit soft tissue segmentation. It could discern minor volume changes of soft tissue. The interactive segmenting technique would be a valuable tool for dynamic analysis and prediction of therapeutic effect and orbital reconstruction.

show abstract

Measurement of the Orbital Soft Tissue Volume in Chinese Adults Based on Three-Dimensional CT Reconstruction

Cited by 16 publications

References 17 publications

Automatic orbital computed tomography coordinating method and quantitative error evaluation based on signed distance field

Automatic orbital computed tomography coordinating method and quantitative error evaluation based on signed distance field

Accuracy and Reliability of Computer‐aided Anatomical Measurements for Vertebral Body and Disc Based on Computed Tomography Scans

An accurate interactive segmentation and volume calculation of orbital soft tissue for orbital reconstruction after enucleation

Contact Info

Product

Resources

About