CT scan images to determine the origin from craniofacial indices for Gujarati population

Mehta, Mitalee; Saini, Vineeta; Nath, Surinder; Patel, M. N.; Menon, Shobhana K.

doi:10.1016/j.jofri.2014.02.001

Cited by 13 publications

(16 citation statements)

References 25 publications

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“…The lower value of the index in males is due to the narrower forehead than to the unusual larger bizygomatic breadth. This index was also showed significant sexual differences in Thai [39] and Gujrati populations [79]. Gabel [46] found that the Fijian population have narrow zygofrontal index.…”

Section: Jugo Frontal Indexmentioning

confidence: 96%

“…Srivastava et al, [67] also evaluated living population of North India and found dominant nasal form is Leptorhine while Gujarati living population is mesorrhine [79] and South Indian population is hyperchamaerhinae [80].…”

Section: Nasal Indexmentioning

confidence: 99%

“…Gujarati population shows Lepten type upper facial index [79], while Maharashtrian population shows Mesen type upper facial index.64 Prasnna et al, [81] studied South and North Indian population and found North Indians to be Leptene to Hyperleptene (very long) and South Indian males to be Leptene and females Mesne (Round face). Gabel46 found Fijian population to be Euryen type with a mean index value of 48.2.…”

Section: Upper Facial Indexmentioning

confidence: 99%

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Is north Indian population changing it craniofacial form? A study of secular trends in craniometric indices and its relation to sex and ancestry estimation

Saini¹,

Mehta²,

Saini³

et al. 2017

Forensic Sci Crimino

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Objectives: Ancestry and sex estimation using craniometric indices is an important aspect of skeletal identification process, as it limits the number of antemortem records used to compare with a postmortem profile and establish a positive identification. These indices are also affected by secular or temporal changes. So the aim of the study to explore the usefulness of indices for sex and ancestry estimation in North Indian population and effect of secular changes on these indices. Materials and methods:In present study two temporally different skull samples of the North Indian population have been taken and eighteen craniometric indices were calculated on the basis of 17 craniofacial measurements for both sexes to examine the temporal changes and their use in ancestry and sexual differenciation. Contemporary sample comprised of 158 skulls (110 male; 48 females) and subrecent 325 skulls (206 males and 119 females) with an age range of 20-68 years.Results: Craniofacial measurements showed significantly higher values in contemporary males and females. In males highly significant secular/temporal changes were observed in orbital index and transverse frontal index and to a lesser extent in foraman magnum and gnathic index. In females, highly significant differences were observed in cranial, vertical, auriculo vertical and longitudinal craniofacial index.Discussion: There is a lot of variability in Indian and non Indian populations so these indices can be used for ancestry estimation but not for sex discrimination due to poor classification rate. Moreover, the causes of these temporal variations with other issues have also been discussed.

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Section: Jugo Frontal Indexmentioning

confidence: 96%

Section: Nasal Indexmentioning

confidence: 99%

Section: Upper Facial Indexmentioning

confidence: 99%

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Is north Indian population changing it craniofacial form? A study of secular trends in craniometric indices and its relation to sex and ancestry estimation

Saini¹,

Mehta²,

Saini³

et al. 2017

Forensic Sci Crimino

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“…In the case of morphological facial index, the types of faces vary among the people of Indian states where people of Madhya Pradesh are Mesoprosopic [21], people of Bengal and Assam are Euryprosopic [22,23], people of Rajasthan are Hyperleptoprosopic [24], and people of Maharashtra [25] Gujarat are Leptoprosopic [26] and Sikkim are hyperleptoproscopic (present study). The values of the index for the population of other different countries make the people of Arab Mesoprosopic [27], people of Persia and Australia Hypereuryprosopic [28] and Malaysian Indians Mesoprosopic [29].…”

Section: Discussionmentioning

confidence: 99%

Naso-facial anthropometric study of Female Sikkimese University Students

Chettri¹,

Sinha²,

Chakraborty³

et al. 2017

IOSR JDMS

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“…Inada et al investigated nose region for reconstruction purposes, showing that the location of cephalometric nasal skin landmarks could be predicted based on skeletal ones [7]. Mehta et al also worked within the forensic scenario by studying differences among different Indian populations in terms of 11 osseous landmark-based craniofacial indexes [15]. Short et al adopted 24 soft-tissue landmarks to assess the accuracy of a computer modelled facial reconstruction technique using CBCT data from live subjects, for both forensic and archaeological purposes [16].…”

Section: Applicationsmentioning

confidence: 99%

Facial Landmarks for Forensic Skull-Based 3D Face Reconstruction: A Literature Review

Vezzetti

Marcolin

Tornincasa

et al. 2016

Lecture Notes in Computer Science

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Abstract. Recent Face Analysis advances have focused the attention on studying and formalizing 3D facial shape. Landmarks, i.e. typical points of the face, are perfectly suited to the purpose, as their position on visage shape allows to build up a map of each human being's appearance. This turns to be extremely useful for a large variety of fields and related applications. In particular, the forensic context is taken into consideration in this study. This work is intended as a survey of current research advances in forensic science involving 3D facial landmarks. In particular, by selecting recent scientific contributions in this field, a literature review is proposed for in-depth analyzing which landmarks are adopted, and how, in this discipline. The main outcome concerns the identification of a leading research branch, which is landmark-based facial reconstruction from skull. The choice of selecting 3D contributions is driven by the idea that the most innovative Face Analysis research trends work on three-dimensional data, such as depth maps and meshes, with three-dimensional software and tools. The third dimension improves the accurateness and is robust to colour and lightning variations.

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CT scan images to determine the origin from craniofacial indices for Gujarati population

Cited by 13 publications

References 25 publications

Is north Indian population changing it craniofacial form? A study of secular trends in craniometric indices and its relation to sex and ancestry estimation

Is north Indian population changing it craniofacial form? A study of secular trends in craniometric indices and its relation to sex and ancestry estimation

Naso-facial anthropometric study of Female Sikkimese University Students

Facial Landmarks for Forensic Skull-Based 3D Face Reconstruction: A Literature Review

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