2014
DOI: 10.1049/htl.2013.0029
|View full text |Cite
|
Sign up to set email alerts
|

A continuous point measure for quantifying skull deformation in medical diagnostics

Abstract: Deformational plagiocephaly (DP) manifests in a deformed skull primarily caused by retaining a constant sleeping position in infants. Manual measures of skull asymmetry based on MRI or CT scans combined with the cranial vault asymmetry index (CVAI) provides information on the extent of asymmetry. CVAI uses four points on the skull as markers for the asymmetry index but tends to underestimate the deformity because of the lack of sampling points. Computer-based continuous-point methods may be a more objective me… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
2
1
1

Citation Types

0
4
0

Year Published

2015
2015
2022
2022

Publication Types

Select...
5

Relationship

1
4

Authors

Journals

citations
Cited by 5 publications
(4 citation statements)
references
References 11 publications
0
4
0
Order By: Relevance
“…In the literature, common methods of assessing DP include the Argenta scale 19 , optical three-dimensional imaging, 20,21 anthropometric measurements using calipers 21 plagiocephalometry, 22,23 and the flexicurve. 24 Among these various methods of plagiocephaly assessment, the CVAI has been shown to be a reliable method of evaluation, with prior studies affirming the use of visual assessments, flexicurve, and anthropometric measurements with calipers. 13,22,24 That said, anthropometric measurements can involve the creation of outlines for head circumference, 24 and we justified the use of CT scans as substitutes for these circumferential outlines.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In the literature, common methods of assessing DP include the Argenta scale 19 , optical three-dimensional imaging, 20,21 anthropometric measurements using calipers 21 plagiocephalometry, 22,23 and the flexicurve. 24 Among these various methods of plagiocephaly assessment, the CVAI has been shown to be a reliable method of evaluation, with prior studies affirming the use of visual assessments, flexicurve, and anthropometric measurements with calipers. 13,22,24 That said, anthropometric measurements can involve the creation of outlines for head circumference, 24 and we justified the use of CT scans as substitutes for these circumferential outlines.…”
Section: Discussionmentioning
confidence: 99%
“…24 Among these various methods of plagiocephaly assessment, the CVAI has been shown to be a reliable method of evaluation, with prior studies affirming the use of visual assessments, flexicurve, and anthropometric measurements with calipers. 13,22,24 That said, anthropometric measurements can involve the creation of outlines for head circumference, 24 and we justified the use of CT scans as substitutes for these circumferential outlines. In choosing to apply the CVAI to CT scans, we assumed the results would be applicable to CVAI measurements via the different means listed earlier, particularly when CT scans are ordered for suspected abuse/head trauma.…”
Section: Discussionmentioning
confidence: 99%
“…Meyer-Marcotty et al [19] employ a non-invasive 3D scanning solution consisting of five synchronized depth sensors with an infant situated in the center. Jelinek et al [21] use magnetic resonance imaging (MRI) and extract the relevant cross-sections to determine the cranial vault asymmetry. Skolnick et al [15] compare direct caliper measurements with digital photogrammetric measurements.…”
Section: Related Work a Measurement Technologiesmentioning
confidence: 99%
“…Clarke’s Arch Angle ( Clarke, 1933 ), Index of Irwin (1937) , Truncated Arch Index and the Arch Length Index ( Hawes et al, 1992 ) have been proposed as alternatives but have similar shortcomings and are therefore not used routinely in clinical practice. Automated feature analysis methods with Gabor Wavelet-based feature extraction have been applied in diverse clinical areas and have shown promise in identification of plagiocephaly, proliferative retinopathy, brain tumor detection, and complex image analysis ( Jelinek et al, 2003 ; Jelinek et al, 2014 ; Nagtode et al, 2016 ). Therefore, the current paper explores the use of automated images analysis for the classification of footprints within a clinical environment and for research purposes.…”
Section: Introductionmentioning
confidence: 99%