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<Article>
<Journal>
				<PublisherName>Damghan University Press</PublisherName>
				<JournalTitle>Analytical and Numerical Solutions for Nonlinear Equations</JournalTitle>
				<Issn>3060-785X</Issn>
				<Volume>6</Volume>
				<Issue>1</Issue>
				<PubDate PubStatus="epublish">
					<Year>2021</Year>
					<Month>08</Month>
					<Day>01</Day>
				</PubDate>
			</Journal>
<ArticleTitle>Ray Casting Based Volume Rendering of Medical Images</ArticleTitle>
<VernacularTitle></VernacularTitle>
			<FirstPage>83</FirstPage>
			<LastPage>98</LastPage>
			<ELocationID EIdType="pii">198</ELocationID>
			
<ELocationID EIdType="doi">10.22128/gadm.2021.394.1041</ELocationID>
			
			<Language>EN</Language>
<AuthorList>
<Author>
					<FirstName>Maryam </FirstName>
					<LastName>Ghobadi</LastName>
<Affiliation>school of mathematics and computer science, Damghan university</Affiliation>

</Author>
<Author>
					<FirstName>Arash </FirstName>
					<LastName>Azimzadeh Irani</LastName>
<Affiliation>school of mathematics and computer science, Damghan university</Affiliation>

</Author>
</AuthorList>
				<PublicationType>Journal Article</PublicationType>
			<History>
				<PubDate PubStatus="received">
					<Year>2021</Year>
					<Month>03</Month>
					<Day>06</Day>
				</PubDate>
			</History>
		<Abstract>- The goal of 3-D visualization is to provide the user with an intuitive interface which enables him to explore the 3-D data. The rapid development in information technology has immensely contributed to the use of modern approaches for visualizing volumetric data. Consequently, medical volume visualization is increasingly attracting attension towards achieving an effective visualization algorithm for medical diagnosis and pre-treatment planning. Previously, research has been addressing implementation of algorithm that can visualize 2-D images into 3-D. Meanwhile, in medical diagnosis, finding the exact diseases location is an important step of surgery / disease management. For 3-D Medical Data, Magnetic Resonance Images (MRI) have been used to create the 3D model, we used the Direct Volume Rendering technique. This paper proposes a ray casting algorithm for accurate allocation and localization of human abdomen abnormalities using magnetic resonance images (Abdomen MRI) of normal and abnormal patients.</Abstract>
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			<Object Type="keyword">
			<Param Name="value">3-D visualization</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Direct Volume Rendering</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Ray casting</Param>
			</Object>
			<Object Type="keyword">
			<Param Name="value">Abdomen MRI</Param>
			</Object>
		</ObjectList>
<ArchiveCopySource DocType="pdf">https://ansne.du.ac.ir/article_198_0bab262270f7a40e3ac17e01ea3d912b.pdf</ArchiveCopySource>
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