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Image Analysis of Periapical Radiograph for Bone Mineral Density Prediction

International Journal of Electrical and Computer Engineering (IJECE) · Vol. 8 No. 4 (2018)

DOI
10.11591/ijece.v8i4.pp2083-2090
ISSN
2088-8708, 2088-8708
Published
2018-08-01
Publisher
Institute of Advanced Engineering and Science
License
creativecommons.org/licenses/by-nc/4.0

Abstract

Osteoporosis is a systemic skeletal disease. Parameter from any bone site in the body has possibility to be developed as a predictor of osteoporosis. The alteration in the mandible trabecular bone is visible in periapical radiographs. The aim of this study was to correlate the area parameter and the integrated density of periapical radiograph with bone mineral density. Image analysis of periapical radiograph i.e. measurement of area parameter and integrated density was done on Region of Interest (ROI) by using canny edge detection method. Result of this study showed that the area parameter has asignificant (α

Collaboration network of the authors

40 authors · 64 co-authorship links · 19 across different organisations · showing the 40 most connected

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  • State University of Semarang
  • Universitas Gadjah Mada
  • Diponegoro University
  • Universitas Airlangga
  • Universitas Respati Yogyakarta
  • Edith Cowan University
  • Universitas Widyatama
  • Other organisations
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
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Co-authorOrganisationJoint articles
Michael WangKingston University London2
Ahmad AbareshiRMIT University2
Aprila NiravitaAffiliation unknown2
Muhammad Reza MaulanaAffiliation unknown2
Fauziah RamadhaniAffiliation unknown2
Mukhamad NurhadiAffiliation unknown2
Hadi NurAffiliation unknown2
Sin Yuan LaiAffiliation unknown2
Munakhir MudjosemediUniversitas Gadjah Mada2
Tiarma Talenta TheresiaAffiliation unknown2
Bambang Tejo PremonoAffiliation unknown2
MurnawanUniversitas Widyatama1
Rosalin SamihardjoAffiliation unknown1
Farikhin FarikhinDiponegoro University1
Irza Nur FauziDiponegoro University1
Indra Kharisma RaharjanaUniversitas Airlangga1
Ira PuspitasariUniversitas Airlangga1
Elzha Odie SyahputraAffiliation unknown1
Harisah HarisahUniversitas Islam Negeri Madura1
Zubaidi SulaimanUniversity of Malaya1
Totok Sumaryanto FlorentinusAffiliation unknown1
I Made SudanaAffiliation unknown1
Heni SubektiAffiliation unknown1
Yoga NindhitaAffiliation unknown1
Risma MusfiyanaAffiliation unknown1
Agung Tri PrasetyaState University of Semarang1
Eko Budi SusatyoAffiliation unknown1
DYP SugihartoAffiliation unknown1
Mungin Eddy WibowoAffiliation unknown1
Sri WatiniAffiliation unknown1
Dhiyah Eloise RoseAffiliation unknown1
Ani RusilowatiState University of Semarang1
Oktia Woro Kasmini HandayaniAffiliation unknown1
Sugianto SugiantoUniversitas Nahdlatul Ulama Blitar1
Deni SetiawanAffiliation unknown1
Arief YuliantoState University of Semarang1
Surhaini SurhainiAffiliation unknown1

Affiliations come from OpenAlex; journal OAI-PMH metadata carries none. Authors without an OpenAlex ID are matched by name, which can merge or split people.

This record comes from Crossref (what the publisher deposited), because the journal's own OAI-PMH endpoint could not be harvested.

Metadata source: Crossref API (cadangan, berdasarkan ISSN) https://api.crossref.org/journals/2088-8708/works, first harvested 27 Oct 2026, last seen 8 Nov 2026.
Metadata as oai_dc, converted from Crossref 
<oai_dc:dc xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/"><dc:title>Image Analysis of Periapical Radiograph for Bone Mineral Density Prediction</dc:title><dc:creator>Widyaningrum, Rini</dc:creator><dc:creator>Lestari, Sri</dc:creator><dc:creator>Jie, Ferry</dc:creator><dc:description>&lt;jats:p&gt;&amp;lt;span&amp;gt;Osteoporosis is a systemic skeletal disease. Parameter from any bone site in the body has possibility to be developed as a predictor of osteoporosis. The alteration in the mandible trabecular bone is visible in periapical radiographs. The aim of this study was to correlate the area parameter and the integrated density of periapical radiograph with bone mineral density. Image analysis of periapical radiograph i.e. measurement of area parameter and integrated density was done on Region of Interest (ROI) by using canny edge detection method. Result of this study showed that the area parameter has asignificant (α&amp;amp;lt;0.05) negative correlation with the bone mass density (BMD) of the lumbar spine (r = -0.371) and T-score of the lumbar spine (r = -0.383). The linear regression test showed that the area parameter only can be used to predict T-score of the lumbar spine (F=5.822, α&amp;amp;lt;0.05). The integrated density showed a significant (α &amp;amp;lt; 0.05) negative correlation with T-score of hip (r = -0.332) and T-score of lumbar spine (r = -0.377). It can be concluded that the area parameter can be used as one of input parameters for computer-aided system of osteoporosis early detection by using periapical radiograph.&amp;lt;/span&amp;gt;&lt;/jats:p&gt;</dc:description><dc:publisher>Institute of Advanced Engineering and Science</dc:publisher><dc:date>2018-08-01</dc:date><dc:type>info:eu-repo/semantics/article</dc:type><dc:format>application/pdf</dc:format><dc:identifier>https://doi.org/10.11591/ijece.v8i4.pp2083-2090</dc:identifier><dc:identifier>10.11591/ijece.v8i4.pp2083-2090</dc:identifier><dc:source>International Journal of Electrical and Computer Engineering (IJECE); Vol 8 No 4 (2018); 2083</dc:source><dc:source>2088-8708</dc:source><dc:source>2088-8708</dc:source><dc:relation>http://ijece.iaescore.com/index.php/IJECE/article/viewFile/9836/8842</dc:relation><dc:rights>http://creativecommons.org/licenses/by-nc/4.0</dc:rights></oai_dc:dc>