2012
DOI: 10.1118/1.4769412
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High precision semiautomated computed tomography measurement of lumbar disk and vertebral heights

Abstract: Purpose: Evaluation of treatments of many spine disorders requires precise measurement of the heights of vertebral bodies and disk spaces. The authors present a semiautomated computer algorithm measuring those heights from spine computed tomography (CT) scans and evaluate its precision. Methods: Eight patients underwent two spine CT scans in the same day. In each scan, five thoracolumbar vertebral heights and four disk heights were estimated using the algorithm. To assess precision, the authors computed the di… Show more

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Cited by 9 publications
(4 citation statements)
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“…The vertebral height measurements were performed identically in all groups using CT and fluoroscopy. According to the literature a precise measurement by CT of 1.2% (coefficients of variation) and fluoroscopy of 2.2% can be assumed (Frobin et al, 1997;Tan et al, 2013). However, this error is unavoidable and is leveled down due to the group distribution.…”
Section: Discussionmentioning
confidence: 97%
“…The vertebral height measurements were performed identically in all groups using CT and fluoroscopy. According to the literature a precise measurement by CT of 1.2% (coefficients of variation) and fluoroscopy of 2.2% can be assumed (Frobin et al, 1997;Tan et al, 2013). However, this error is unavoidable and is leveled down due to the group distribution.…”
Section: Discussionmentioning
confidence: 97%
“…Techniques based on plain X-rays and also on CT, MRI and ultrasound were presented [33, 37 -41]. Among them, possibilities for (semi-automatic) computer-based calculation are also described [37,42,43]. Besides the Hurxthal measurement presented above, the consensus recommendation also describes other methods of measuring intervertebral disc height or obtaining normalised relative intervertebral disc heights (area method, methods of Hering et al, Frobin et al, Farfan et al).…”
Section: Discussionmentioning
confidence: 99%
“…Instead, the agreement of the automated segmentation results with manual segmentations of one rater was computed, and compared to the agreement of this rater with another human operator,which is a common validation procedure. 58,59 The segmentation pipeline was evaluated on TrueFISP images from 44 healthy subjects. Although acceptable segmentation results (in light of the inter-rater variability) have been achieved, future work to further improve the accuracy and precision is desirable.…”
Section: Discussionmentioning
confidence: 99%