Literature DB >> 12193997

Computer-assisted Cobb measurement of scoliosis.

Nachiappan Chockalingam1, Peter H Dangerfield, Giannis Giakas, Tom Cochrane, John C Dorgan.   

Abstract

This study was devised to develop a simple computerised method for measuring and quantifying the magnitude of spinal curvatures. A digitally scanned antero-posterior radiographic image was used. The vertebral column was defined as a line that can be subdivided into a number of segments, rather than into the exact number of vertebrae. The technique developed allows an observer to measure the spinal curvature with a high resolution and accuracy. One important advantage of the technique is that the assessor does not need to be skilled or experienced in measurement of a spinal curvature.

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Mesh:

Year:  2002        PMID: 12193997      PMCID: PMC3610477          DOI: 10.1007/s00586-002-0386-x

Source DB:  PubMed          Journal:  Eur Spine J        ISSN: 0940-6719            Impact factor:   3.134


  15 in total

1.  Validity and reliability of active shape models for the estimation of cobb angle in patients with adolescent idiopathic scoliosis.

Authors:  Shannon Allen; Eric Parent; Maziyar Khorasani; Douglas L Hill; Edmond Lou; James V Raso
Journal:  J Digit Imaging       Date:  2008-06       Impact factor: 4.056

Review 2.  A review of methods for quantitative evaluation of spinal curvature.

Authors:  Tomaz Vrtovec; Franjo Pernus; Bostjan Likar
Journal:  Eur Spine J       Date:  2009-02-27       Impact factor: 3.134

3.  Computer-aided assessment of scoliosis on posteroanterior radiographs.

Authors:  Junhua Zhang; Edmond Lou; Douglas L Hill; James V Raso; Yuanyuan Wang; Lawrence H Le; Xinling Shi
Journal:  Med Biol Eng Comput       Date:  2009-12-10       Impact factor: 2.602

4.  Automatic Cobb measurement of scoliosis based on fuzzy Hough Transform with vertebral shape prior.

Authors:  Junhua Zhang; Edmond Lou; Lawrence H Le; Douglas L Hill; James V Raso; Yuanyuan Wang
Journal:  J Digit Imaging       Date:  2008-05-31       Impact factor: 4.056

Review 5.  Measuring procedures to determine the Cobb angle in idiopathic scoliosis: a systematic review.

Authors:  S Langensiepen; O Semler; R Sobottke; O Fricke; J Franklin; E Schönau; P Eysel
Journal:  Eur Spine J       Date:  2013-02-27       Impact factor: 3.134

6.  Comparison of manual versus automated measurement of Cobb angle in idiopathic scoliosis based on a deep learning keypoint detection technology.

Authors:  Yu Sun; Yaozhong Xing; Zian Zhao; Xianglong Meng; Gang Xu; Yong Hai
Journal:  Eur Spine J       Date:  2021-10-30       Impact factor: 2.721

7.  Reliability of assessing the coronal curvature of children with scoliosis by using ultrasound images.

Authors:  Wei Chen; Edmond H M Lou; Phoebe Q Zhang; Lawrence H Le; Doug Hill
Journal:  J Child Orthop       Date:  2013-10-22       Impact factor: 1.548

8.  Observer reliability between juvenile and adolescent idiopathic scoliosis in measurement of stable Cobb's angle.

Authors:  Hitesh N Modi; Ting Chen; Seung Woo Suh; Satyen Mehta; S Srinivasalu; Jae-Hyuk Yang; Hae-Ryong Song
Journal:  Eur Spine J       Date:  2008-11-27       Impact factor: 3.134

9.  Reliability analysis for manual measurement of coronal plane deformity in adolescent scoliosis. Are 30 x 90 cm plain films better than digitized small films?

Authors:  Antonio De Carvalho; Raphaël Vialle; Laurent Thomsen; Julien Amzallag; Guillaume Cluzel; Hubert Ducou le Pointe; Pierre Mary
Journal:  Eur Spine J       Date:  2007-07-10       Impact factor: 3.134

10.  Image analysis in medical imaging: recent advances in selected examples.

Authors:  G Dougherty
Journal:  Biomed Imaging Interv J       Date:  2010-07-01
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