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Determining Image Opacity in Broiler Respiratory Radiographic Using ImageJ and Ansel Adam’s Zone System

Jurnal Riset Veteriner Indonesia (Journal of The Indonesian Veterinary Research) · Vol. UME No. 1 (2020)

ISSN
2615-2835, 2614-0187
Published
2020-03-02
Publisher
Hasanuddin University
Language
en

Abstract

The diagnosis of diseases of the respiratory, lung, and air sacs generally uses radiographic images by radiologists. Therefore, the results are very subjective, causing differences in the interpretation and diagnosis among different radiologists. A radiographic image reading needs to be made in the form of a simple, fast, and accurate algorithm. The study aimed to reduce subjectivity and be easily carried out by radiology medical personnel, especially veterinarians. This study carried out density measurements by image processing using ImageJ software on 14 radiographic images of broiler chickens. Furthermore, the density value is associated with the Ansel Adam's - grayscale system to determine the opacity of respiratory tract tissues/organs, which were previously inhaled by one of them with chitosan-iopamidol nanoparticles using a nebulizer. The results of density measurements for the category of opacity in radiographic images are that seven spot areas lead brighter (radiopaque) only in chickens that are inhaled mist maker of chitosan-iopamidol nanoparticles. Then the determination of the value range is obtained average value on two ventrodorsal radiographic images, which are inhaled by mist maker of chitosan-iopamidol nanoparticles and chitosan nanoparticle compressor. The conclusion of this study was only in chickens that were infested with mist maker chitosan-iopamidol, whose radiographic image had a radiopaque spot and middle-value area.

Keywords

Collaboration network of the authors

40 authors · 126 co-authorship links · showing the 40 most connected

Hover or tap a name to highlight its co-authors. Double-click to open the author's page.

  • Bandung Institute of Technology
  • IPB University
  • Universitas Trisakti
  • Institut Agama Islam Negeri Kendari
  • Universitas Halu Oleo
  • Affiliation unknown
  • Different organisations
  • Same organisation
  • Affiliation unknown
  • Thicker line = more joint articles · bigger circle = more articles
Show as table
Co-authorOrganisationJoint articles
Bambang RiyantoBandung Institute of Technology7
Niken UlupiIPB University3
Aryani Sismin SatyaningtijasAffiliation unknown3
Pudji AstutiUniversitas Trisakti2
LUTHFIRALDA SJAHFIRDIAffiliation unknown2
DONDIN SAJUTHIAffiliation unknown2
Esa Ghanim FadhallahAffiliation unknown2
La JumadinAffiliation unknown2
Desrayni HanadhitaAffiliation unknown2
Yulvian SaniAffiliation unknown2
Elok Budi RetnaniAffiliation unknown2
Jefri NaldiAffiliation unknown2
Irwan OktoniAffiliation unknown2
David AnwarAffiliation unknown2
Ainul Khadija SaleemaAffiliation unknown2
Arindina MahendraAffiliation unknown1
Isdoni IsdoniAffiliation unknown1
Achmad FarajallahAffiliation unknown1
Amelia Ramadhani AnsharAffiliation unknown1
Huda Salahudin DarusmanAffiliation unknown1
Jumardin JumardinInstitut Agama Islam Negeri Kendari1
Rahmaniah NalwiAffiliation unknown1
Mersi KurniatiAffiliation unknown1
Aida Fitri Viva YuningsihAffiliation unknown1
Nafisah NafisahAffiliation unknown1
Mohamad Rahmad SuhartantoAffiliation unknown1
I Wayan Teguh WibawanAffiliation unknown1
Etih SudarnikaAffiliation unknown1
Maria Fatima PalupiAffiliation unknown1
Huda Shalahudin DarusmanAffiliation unknown1
TUTY LASWARDI YUSUFAffiliation unknown1
ERIC HAYESAffiliation unknown1
Muhammad RizalUniversitas Halu Oleo1
Muhammad GunawanAffiliation unknown1
HERDISAffiliation unknown1
. YulnawatiAffiliation 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.

Metadata source: OAI-PMH (metadata jurnal) https://journal.unhas.ac.id/index.php/jrvi/oai, first harvested 3 Nov 2026, last seen 8 Nov 2026.
Original metadata (oai_dc) 
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	<dc:title xml:lang="en">Determining Image Opacity in Broiler Respiratory Radiographic Using ImageJ and Ansel Adam’s Zone System</dc:title>
	<dc:creator xml:lang="en">Wirahadikesuma, Ikhwan</dc:creator>
	<dc:creator xml:lang="en">Santoso, Koekoeh</dc:creator>
	<dc:creator xml:lang="en">Maheshwari, Hera</dc:creator>
	<dc:creator xml:lang="en">Maddu, Akhiruddin</dc:creator>
	<dc:subject xml:lang="en">Ansel Adam’s</dc:subject>
	<dc:subject xml:lang="en">ImageJ</dc:subject>
	<dc:subject xml:lang="en">radiology</dc:subject>
	<dc:subject xml:lang="en">radioopaque</dc:subject>
	<dc:subject xml:lang="en">subjectivity</dc:subject>
	<dc:description xml:lang="en">The diagnosis of diseases of the respiratory, lung, and air sacs generally uses radiographic images by radiologists. Therefore, the results are very subjective, causing differences in the interpretation and diagnosis among different radiologists. A radiographic image reading needs to be made in the form of a simple, fast, and accurate algorithm. The study aimed to reduce subjectivity and be easily carried out by radiology medical personnel, especially veterinarians. This study carried out density measurements by image processing using ImageJ software on 14 radiographic images of broiler chickens. Furthermore, the density value is associated with the Ansel Adam's - grayscale system to determine the opacity of respiratory tract tissues/organs, which were previously inhaled by one of them with chitosan-iopamidol nanoparticles using a nebulizer. The results of density measurements for the category of opacity in radiographic images are that seven spot areas lead brighter (radiopaque) only in chickens that are inhaled mist maker of chitosan-iopamidol nanoparticles. Then the determination of the value range is obtained average value on two ventrodorsal radiographic images, which are inhaled by mist maker of chitosan-iopamidol nanoparticles and chitosan nanoparticle compressor. The conclusion of this study was only in chickens that were infested with mist maker chitosan-iopamidol, whose radiographic image had a radiopaque spot and middle-value area. </dc:description>
	<dc:publisher xml:lang="en">Hasanuddin University</dc:publisher>
	<dc:date>2020-03-02</dc:date>
	<dc:type>info:eu-repo/semantics/article</dc:type>
	<dc:type>info:eu-repo/semantics/publishedVersion</dc:type>
	<dc:type xml:lang="en">Peer-reviewed Article</dc:type>
	<dc:format>application/pdf</dc:format>
	<dc:identifier>https://journal.unhas.ac.id/index.php/jrvi/article/view/8431</dc:identifier>
	<dc:source xml:lang="en">Jurnal Riset Veteriner Indonesia (Journal of The Indonesian Veterinary Research); VOLUME 4 No. 1, JANUARY 2020</dc:source>
	<dc:source>2615-2835</dc:source>
	<dc:source>2614-0187</dc:source>
	<dc:language>en</dc:language>
	<dc:relation>https://journal.unhas.ac.id/index.php/jrvi/article/view/8431/4867</dc:relation>
	<dc:rights xml:lang="en">Copyright (c) 2020 Jurnal Riset Veteriner Indonesia (Journal of The Indonesian Veterinary Research)</dc:rights>
</oai_dc:dc>