Unbiased groupwise registration for shape prediction of foot scans

Zhu, Jianjun; Wang, Xiuxing; Ma, Shuang; Fan, Jingfan; Song, Shuang; Ma, Xiao; Ai, Danni; Song, Hong; Jiang, Yurong; Wang, Yongtian; Yang, Jian

doi:10.1007/s11517-019-01992-1

Cited by 2 publications

(18 citation statements)

References 27 publications

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“…Fifty-three studies reported mean height (ranging from 100.9 to 187.8 cm) and 52 reported height standard deviation [ 3 , 4 , 8 , 9 , 11 , 16 , 18 , 22 , 30 – 32 , 35 , 36 , 38 , 39 , 41 – 52 , 54 – 56 , 58 , 59 , 61 – 64 , 68 – 72 , 74 , 75 , 84 – 91 , 93 , 94 ]. Fifty-four studies reported mean weight (ranging from 15.7 to 111.8 kg) and 53 reported weight standard deviation [ 3 , 4 , 8 , 9 , 11 , 16 , 18 , 22 , 30 – 33 , 35 , 36 , 38 , 39 , 41 – 52 , 54 – 56 , 58 , 59 , 61 – 64 , 68 – 72 , 74 , 75 , 84 – 91 , 93 , 94 ]. Twenty-four studies reported BMI mean (ranging from 15.2 to 32.9 kg/m 2 ), and 23 reported standard deviation [ 18 , 20 , 21 , 34 , 35 , 41...…”

Section: Resultsmentioning

confidence: 99%

“…2 ). Sixty-five studies measured foot length [ 3 – 5 , 8 , 9 , 11 , 13 , 20 – 22 , 30 – 38 , 40 – 44 , 46 – 50 , 53 , 55 – 64 , 66 – 77 , 79 – 82 , 84 , 85 , 87 – 89 , 91 , 93 – 95 ], 64 studies measured ball width/breadth [ 3 – 5 , 9 , 11 , 13 , 20 – 22 , 30 – 35 , 37 , 39 – 44 , 46 – 50 , 53 , 55 – 64 , 66 – 77 , 79 , 81 – 89 , 91 , 93 – 95 ], 51 studies measured ball girth [ 3 , 5 , 11 , 22 , 30 – 33 , 37 , 38 , 40 – 44 , 47 – 49 , 53 , 55 – 57 , 59 , …”

Section: Resultsmentioning

confidence: 99%

“…The included studies originated from 17 different countries: China ( n = 41) [4, 11, 30–68], Japan ( n = 6) [16, 44, 69–72], Germany ( n = 4) [13, 73–75], Romania ( n = 3) [8, 76, 77], South Korea ( n = 3) [78–80], Spain ( n = 3) [22, 81, 82], United States ( n = 3) [83–85], Italy ( n = 3) [20, 21, 86], India ( n = 2) [5, 87], Malaysia ( n = 2) [3, 88], New Zealand ( n = 2) [35, 62], Australia ( n = 2) [89, 90], Belgium ( n = 2) [18, 91], United Kingdom ( n = 2) [92, 93], Canada ( n = 1) [94], Iran ( n = 1) [9], Russia ( n = 1) [47], Slovenia ( n = 1) [95], and Sweden ( n = 1) [75]. Several study designs were utilised in the literature, these included: 51 comparisons of mean differences between groups [3, 5, 8, 9, 22, …”

Section: Resultsmentioning

confidence: 99%

“…Sample size ranged from 11 to 1,200,847, with 57 studies including healthy young adults [3, 4, 8, 11, 13, 16, 18, 20, 21, 30–40, 42–46, 48–50, 54–56, 59–61, 63–71, 74, 77, 78, 80–84, 87, 88, 90, 91, 93, 94]. Other groups included: older adults (> 65 years) ( n = 18) [8, 9, 34, 38, 45, 56, 61, 70, 72, 74, 77, 82–84, 87, 91, 93, 94], children/adolescents (< 18 years) ( n = 11) [5, 13, 37, 38, 41, 52, 56, 75, 80, 89, 92], participants with medical conditions ( n = 7) (such as Down syndrome […”

Section: Resultsmentioning

confidence: 99%

“…Fifty‐three studies reported mean age (ranging from 8 to 75 years) [3, 4, 8, 9, 11, 13, 16, 18, 22, 30–36, 38, 40, 43–46, 48, 50, 51, 54–56, 58, 59, 61–64, 67–72, 74, 75, 77, 82–84, 86–90, 93, 94], and 51 reported age standard deviation [3, 4, 8, 9, 11, 13, 16, 18, 22, 30–36, 38, 40, 43–46, 48, 50, 51, 54–56, 58, 59, 61–64, 68–72, 74, 75, 77<...…”

Section: Resultsmentioning

confidence: 99%

See 4 more Smart Citations

Methodological and statistical approaches for the assessment of foot shape using three‐dimensional foot scanning: a scoping review

Allan

Munteanu

Bonanno

et al. 2023

Journal of Foot and Ankle Research

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Objective The objectives of this study were to: (i) review and provide a narrative synthesis of three-dimensional (3D) foot surface scanning methodological and statistical analysis protocols, and (ii) develop a set of recommendations for standardising the reporting of 3D foot scanning approaches. Methods A systematic search of the SCOPUS, ProQuest, and Web of Science databases were conducted to identify papers reporting 3D foot scanning protocols and analysis techniques. To be included, studies were required to be published in English, have more than ten participants, and involve the use of static 3D surface scans of the foot. Papers were excluded if they reported two-dimensional footprints only, 3D scans that did not include the medial arch, dynamic scans, or derived foot data from a full body scan. Results The search yielded 78 relevant studies from 17 different countries. The available evidence showed a large variation in scanning protocols. The subcategories displaying the most variation included scanner specifications (model, type, accuracy, resolution, capture duration), scanning conditions (markers, weightbearing, number of scans), foot measurements and definitions used, and statistical analysis approaches. A 16-item checklist was developed to improve the consistency of reporting of future 3D scanning studies. Conclusion 3D foot scanning methodological and statistical analysis protocol consistency and reporting has been lacking in the literature to date. Improved reporting of the included subcategories could assist in data pooling and facilitate collaboration between researchers. As a result, larger sample sizes and diversification of population groups could be obtained to vastly improve the quantification of foot shape and inform the development of orthotic and footwear interventions and products.

show abstract

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

Section: Resultsmentioning

confidence: 99%

See 3 more Smart Citations

Methodological and statistical approaches for the assessment of foot shape using three‐dimensional foot scanning: a scoping review

Allan

Munteanu

Bonanno

et al. 2023

Journal of Foot and Ankle Research

View full text Add to dashboard Cite

show abstract

Methodological and Statistical Approaches for the Assessment of Foot Shape Using Three-Dimensional Foot Scanning: A Scoping Review

ALLAN,

MUNTEANU,

BONANNO

et al. 2023

Proceedings of 3DBODY.TECH 2023 - 14th International Conference and Exhibition on 3D Body Scanning and Processing Technologies,

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Objective The objectives of this study were to: (i) review and provide a narrative synthesis of threedimensional (3D) foot surface scanning methodological and statistical analysis protocols, and (ii) develop a set of recommendations for standardising the reporting of 3D foot scanning approaches.Methods A systematic search of the SCOPUS, ProQuest, and Web of Science databases were conducted to identify papers reporting 3D foot scanning protocols and analysis techniques. To be included, studies were required to be published in English, have more than ten participants, and involve the use of static 3D surface scans of the foot.Papers were excluded if they reported two-dimensional footprints only, 3D scans that did not include the medial arch, dynamic scans, or derived foot data from a full body scan. ResultsThe search yielded 78 relevant studies from 17 different countries. The available evidence showed a large variation in scanning protocols. The subcategories displaying the most variation included scanner specifications (model, type, accuracy, resolution, capture duration), scanning conditions (markers, weightbearing, number of scans), foot measurements and definitions used, and statistical analysis approaches. A 16-item checklist was developed to improve the consistency of reporting of future 3D scanning studies. Conclusion 3D foot scanning methodological and statistical analysis protocol consistency and reporting has been lacking in the literature to date. Improved reporting of the included subcategories could assist in data pooling and facilitate collaboration between researchers. As a result, larger sample sizes and diversification of population groups could be obtained to vastly improve the quantification of foot shape and inform the development of orthotic and footwear interventions and products.

show abstract

Unbiased groupwise registration for shape prediction of foot scans

Cited by 2 publications

References 27 publications

Methodological and statistical approaches for the assessment of foot shape using three‐dimensional foot scanning: a scoping review

Methodological and statistical approaches for the assessment of foot shape using three‐dimensional foot scanning: a scoping review

Methodological and Statistical Approaches for the Assessment of Foot Shape Using Three-Dimensional Foot Scanning: A Scoping Review

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