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

Wirahadikesuma, Ikhwan; Santoso, Koekoeh; Maheshwari, Hera; Maddu, Akhiruddin

Jurnal

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

19 authors · 76 co-authorship links

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

IPB University
Affiliation unknown

Different organisations
Same organisation
Affiliation unknown
Thicker line = more joint articles · bigger circle = more articles

Show as table

Co-author	Organisation	Joint articles
Niken Ulupi	IPB University	3
Aryani Sismin Satyaningtijas	Affiliation unknown	3
La Jumadin	Affiliation unknown	2
Desrayni Hanadhita	Affiliation unknown	2
Yulvian Sani	Affiliation unknown	2
Elok Budi Retnani	Affiliation unknown	2
Jefri Naldi	Affiliation unknown	2
Irwan Oktoni	Affiliation unknown	2
David Anwar	Affiliation unknown	2
Ainul Khadija Saleema	Affiliation unknown	2
Arindina Mahendra	Affiliation unknown	1
Isdoni Isdoni	Affiliation unknown	1
Achmad Farajallah	Affiliation unknown	1
Amelia Ramadhani Anshar	Affiliation unknown	1
Huda Salahudin Darusman	Affiliation unknown	1

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 3 Nov 2026.

Original metadata (oai_dc)

<oai_dc:dc xmlns="http://www.openarchives.org/OAI/2.0/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:oai_dc="http://www.openarchives.org/OAI/2.0/oai_dc/" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance" xsi:schemaLocation="http://www.openarchives.org/OAI/2.0/oai_dc/  http://www.openarchives.org/OAI/2.0/oai_dc.xsd">
	<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>