<?xml version="1.0" encoding="utf-8"?>
<journal>
<title>Health Science Monitor</title>
<title_fa>Health Science Monitor</title_fa>
<short_title>Health Science Monitor</short_title>
<subject>Basic Sciences</subject>
<web_url>http://hsm.umsu.ac.ir</web_url>
<journal_hbi_system_id>1</journal_hbi_system_id>
<journal_hbi_system_user>admin</journal_hbi_system_user>
<journal_id_issn></journal_id_issn>
<journal_id_issn_online>2980-8723</journal_id_issn_online>
<journal_id_pii>8</journal_id_pii>
<journal_id_doi>10.61882/hsm</journal_id_doi>
<journal_id_iranmedex></journal_id_iranmedex>
<journal_id_magiran></journal_id_magiran>
<journal_id_sid>14</journal_id_sid>
<journal_id_nlai>9104634</journal_id_nlai>
<journal_id_science>13</journal_id_science>
<language>en</language>
<pubdate>
	<type>jalali</type>
	<year>1404</year>
	<month>5</month>
	<day>1</day>
</pubdate>
<pubdate>
	<type>gregorian</type>
	<year>2025</year>
	<month>8</month>
	<day>1</day>
</pubdate>
<volume>4</volume>
<number>3</number>
<publish_type>online</publish_type>
<publish_edition>1</publish_edition>
<article_type>fulltext</article_type>
<articleset>
	<article>


	<language>en</language>
	<article_id_doi></article_id_doi>
	<title_fa></title_fa>
	<title>Comparative Analysis of the Scaniverse 3D Scanning and Manual Methods for Measuring Facial Anthropometric Dimensions</title>
	<subject_fa>Occupational Health</subject_fa>
	<subject>Occupational Health</subject>
	<content_type_fa>پژوهشي</content_type_fa>
	<content_type>Research Article</content_type>
	<abstract_fa></abstract_fa>
	<abstract>&lt;span style=&quot;font-size:14px;&quot;&gt;&lt;span style=&quot;font-family:Times New Roman;&quot;&gt;&lt;span style=&quot;line-height:115%&quot;&gt;&lt;b&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt;Background&lt;/span&gt;&lt;/b&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt; Anthropometry provides quantitative measurements of body dimensions, including those of the head and face, and is applied in fields such as dentistry, medicine, plastic surgery, and the design of head and face protective equipment.&lt;/span&gt;&lt;/span&gt;&lt;br&gt;
&lt;span style=&quot;line-height:115%&quot;&gt;&lt;b&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt;Methods&lt;/span&gt;&lt;/b&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt; : In this study, the usability of the 3D scanning software, Scaniverse, version 5.0.1, for iPhones was investigated to measure 10 dimensions of facial anthropometric features in comparison with the manual method (digital caliper). Then, the obtained data were compared with T-tests. In the absence of significant differences and the validation of the software method, it is possible to measure facial anthropometric dimensions more easily and quickly in the target populations.&lt;/span&gt;&lt;/span&gt;&lt;br&gt;
&lt;span style=&quot;line-height:115%&quot;&gt;&lt;b&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt;Result&lt;/span&gt;&lt;/b&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt; The study included 188 participants, with a mean age of 23.20 years. The results showed that out of the 10 dimensions measured, there was a statistically significant difference in five dimensions using the manual method and Scaniverse software (p-value &lt; 0.05). In the other dimensions measured by the two methods, there was no difference in the mean (p-value &gt; 0.05). The internal reliability and agreement of the measurements obtained using the two methods were assessed using the correlation coefficient, which yielded values ranging from 0.90 to 0.97, indicating high agreement and correlation.&lt;/span&gt;&lt;/span&gt;&lt;br&gt;
&lt;b&gt;&lt;span style=&quot;line-height:115%&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt;Conclusion&lt;/span&gt;&lt;/span&gt;&lt;/b&gt;&lt;span style=&quot;line-height:115%&quot;&gt;&lt;span new=&quot;&quot; roman=&quot;&quot; times=&quot;&quot;&gt; While statistically significant differences were observed in five of the 10 facial dimensions, the Scaniverse software showed high agreement (ICC: 0.90-0.97) with manual measurements in all dimensions. These findings indicate that Scaniverse is a suitable alternative for measuring most facial anthropometric dimensions.&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;&lt;/span&gt;</abstract>
	<keyword_fa></keyword_fa>
	<keyword>3D scanning, Anthropometry, Facial dimensions, Manual measurement, Scaniverse software</keyword>
	<start_page>219</start_page>
	<end_page>227</end_page>
	<web_url>http://hsm.umsu.ac.ir/browse.php?a_code=A-10-333-1&amp;slc_lang=en&amp;sid=1</web_url>


<author_list>
	<author>
	<first_name>Negar </first_name>
	<middle_name></middle_name>
	<last_name>Semyari</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>Negsim3@gmail.com</email>
	<code>10031947532846004205</code>
	<orcid>0009-0003-9128-7368</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Occupational Health, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Teimour </first_name>
	<middle_name></middle_name>
	<last_name>Allahyari</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>allahyarit@yahoo.com</email>
	<code>10031947532846004206</code>
	<orcid>10031947532846004206</orcid>
	<coreauthor>Yes
</coreauthor>
	<affiliation>Department of Occupational Health, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran</affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


	<author>
	<first_name>Vahid </first_name>
	<middle_name></middle_name>
	<last_name>Alinejad</last_name>
	<suffix></suffix>
	<first_name_fa></first_name_fa>
	<middle_name_fa></middle_name_fa>
	<last_name_fa></last_name_fa>
	<suffix_fa></suffix_fa>
	<email>vahidalinejad64@gmail.com</email>
	<code>10031947532846004207</code>
	<orcid>10031947532846004207</orcid>
	<coreauthor>No</coreauthor>
	<affiliation>Department of Statistics and Epidemiology, School of Public Health, Urmia University of Medical Sciences, Urmia, Iran </affiliation>
	<affiliation_fa></affiliation_fa>
	 </author>


</author_list>


	</article>
</articleset>
</journal>
