An evaluation of four methods of 111In planar image quantification.
Identifieur interne : 008133 ( Main/Exploration ); précédent : 008132; suivant : 008134An evaluation of four methods of 111In planar image quantification.
Auteurs : RBID : pubmed:3237142English descriptors
- KwdEn :
- MESH :
- chemical , diagnostic use : Indium Radioisotopes.
- methods : Radionuclide Imaging.
- radionuclide imaging : Blood Platelets.
- Humans, Mathematics, Models, Anatomic, Models, Theoretical.
Abstract
The accurate quantification of the in vivo distribution of 111In labeled platelets, other cells, and proteins with a scintillation camera is important in clinical and experimental medicine. Planar techniques of image quantification were therefore evaluated with the aim of improving on the accuracy, and simplifying the techniques currently in use. The attenuation of the 172- and 247-keV photons of 111In, singly and in combination, was determined for varying diameter flat sources (3.4 to 16.9 cm). The influence of region of interest (ROI) selection on the shape of the attenuation curves was also determined for five different ROI's. Defining the attenuation curves mathematically generated parameters of fit for three approaches to in vivo quantification, namely: a single exponential geometric mean approach that takes into account source size, depth-dependent, and depth-independent buildup factor approaches to account for the contribution of scatter. The accuracy of these techniques was ascertained and compared to the classical geometric mean method. This was done in a waxen phantom of a human thorax with a hollow liver and spleen. The results indicated that the depth-independent buildup factor is the best method; the error for quantification in the spleen was 0.8% +/- 2.2%. The classical geometric mean approach gave a corresponding error of 43.3% +/- 3.4%. Since the attenuation of the two energies of 111In differ, their ratio changes with depth. This phenomenon was investigated with the goal of determining whether the depth of an object can be estimated from one set of planar images. This was not successful.(ABSTRACT TRUNCATED AT 250 WORDS)
PubMed: 3237142
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<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en">An evaluation of four methods of 111In planar image quantification.</title><author><name sortKey="Van Rensburg, A J" uniqKey="Van Rensburg A">A J van Rensburg</name><affiliation wicri:level="1"><nlm:affiliation>Biophysics Department, University of the Orange Free State, Bloemfontein, South Africa.</nlm:affiliation><country xml:lang="fr">Afrique du Sud</country><wicri:regionArea>Biophysics Department, University of the Orange Free State, Bloemfontein</wicri:regionArea></affiliation></author><author><name sortKey="L Tter, M G" uniqKey="L Tter M">M G Lötter</name></author><author><name sortKey="Heyns, A D" uniqKey="Heyns A">A D Heyns</name></author><author><name sortKey="Minnaar, P C" uniqKey="Minnaar P">P C Minnaar</name></author></titleStmt><publicationStmt><date when="????"><PubDate><MedlineDate>1988 Nov-Dec</MedlineDate></PubDate></date><idno type="RBID">pubmed:3237142</idno><idno type="pmid">3237142</idno><idno type="wicri:Area/Main/Corpus">005F34</idno><idno type="wicri:Area/Main/Curation">005F34</idno><idno type="wicri:Area/Main/Exploration">008133</idno></publicationStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Blood Platelets (radionuclide imaging)</term><term>Humans</term><term>Indium Radioisotopes (diagnostic use)</term><term>Mathematics</term><term>Models, Anatomic</term><term>Models, Theoretical</term><term>Radionuclide Imaging (methods)</term></keywords><keywords scheme="MESH" type="chemical" qualifier="diagnostic use" xml:lang="en"><term>Indium Radioisotopes</term></keywords><keywords scheme="MESH" qualifier="methods" xml:lang="en"><term>Radionuclide Imaging</term></keywords><keywords scheme="MESH" qualifier="radionuclide imaging" xml:lang="en"><term>Blood Platelets</term></keywords><keywords scheme="MESH" xml:lang="en"><term>Humans</term><term>Mathematics</term><term>Models, Anatomic</term><term>Models, Theoretical</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">The accurate quantification of the in vivo distribution of 111In labeled platelets, other cells, and proteins with a scintillation camera is important in clinical and experimental medicine. Planar techniques of image quantification were therefore evaluated with the aim of improving on the accuracy, and simplifying the techniques currently in use. The attenuation of the 172- and 247-keV photons of 111In, singly and in combination, was determined for varying diameter flat sources (3.4 to 16.9 cm). The influence of region of interest (ROI) selection on the shape of the attenuation curves was also determined for five different ROI's. Defining the attenuation curves mathematically generated parameters of fit for three approaches to in vivo quantification, namely: a single exponential geometric mean approach that takes into account source size, depth-dependent, and depth-independent buildup factor approaches to account for the contribution of scatter. The accuracy of these techniques was ascertained and compared to the classical geometric mean method. This was done in a waxen phantom of a human thorax with a hollow liver and spleen. The results indicated that the depth-independent buildup factor is the best method; the error for quantification in the spleen was 0.8% +/- 2.2%. The classical geometric mean approach gave a corresponding error of 43.3% +/- 3.4%. Since the attenuation of the two energies of 111In differ, their ratio changes with depth. This phenomenon was investigated with the goal of determining whether the depth of an object can be estimated from one set of planar images. This was not successful.(ABSTRACT TRUNCATED AT 250 WORDS)</div></front></TEI><pubmed><MedlineCitation Owner="NLM" Status="MEDLINE"><PMID Version="1">3237142</PMID><DateCreated><Year>1989</Year><Month>05</Month><Day>02</Day></DateCreated><DateCompleted><Year>1989</Year><Month>05</Month><Day>02</Day></DateCompleted><DateRevised><Year>2004</Year><Month>11</Month><Day>17</Day></DateRevised><Article PubModel="Print"><Journal><ISSN IssnType="Print">0094-2405</ISSN><JournalIssue CitedMedium="Print"><Volume>15</Volume><Issue>6</Issue><PubDate><MedlineDate>1988 Nov-Dec</MedlineDate></PubDate></JournalIssue><Title>Medical physics</Title><ISOAbbreviation>Med Phys</ISOAbbreviation></Journal><ArticleTitle>An evaluation of four methods of 111In planar image quantification.</ArticleTitle><Pagination><MedlinePgn>853-61</MedlinePgn></Pagination><Abstract><AbstractText>The accurate quantification of the in vivo distribution of 111In labeled platelets, other cells, and proteins with a scintillation camera is important in clinical and experimental medicine. Planar techniques of image quantification were therefore evaluated with the aim of improving on the accuracy, and simplifying the techniques currently in use. The attenuation of the 172- and 247-keV photons of 111In, singly and in combination, was determined for varying diameter flat sources (3.4 to 16.9 cm). The influence of region of interest (ROI) selection on the shape of the attenuation curves was also determined for five different ROI's. Defining the attenuation curves mathematically generated parameters of fit for three approaches to in vivo quantification, namely: a single exponential geometric mean approach that takes into account source size, depth-dependent, and depth-independent buildup factor approaches to account for the contribution of scatter. The accuracy of these techniques was ascertained and compared to the classical geometric mean method. This was done in a waxen phantom of a human thorax with a hollow liver and spleen. The results indicated that the depth-independent buildup factor is the best method; the error for quantification in the spleen was 0.8% +/- 2.2%. The classical geometric mean approach gave a corresponding error of 43.3% +/- 3.4%. Since the attenuation of the two energies of 111In differ, their ratio changes with depth. This phenomenon was investigated with the goal of determining whether the depth of an object can be estimated from one set of planar images. This was not successful.(ABSTRACT TRUNCATED AT 250 WORDS)</AbstractText></Abstract><AuthorList CompleteYN="Y"><Author ValidYN="Y"><LastName>van Rensburg</LastName><ForeName>A J</ForeName><Initials>AJ</Initials><Affiliation>Biophysics Department, University of the Orange Free State, Bloemfontein, South Africa.</Affiliation></Author><Author ValidYN="Y"><LastName>Lötter</LastName><ForeName>M G</ForeName><Initials>MG</Initials></Author><Author ValidYN="Y"><LastName>Heyns</LastName><ForeName>A D</ForeName><Initials>AD</Initials></Author><Author ValidYN="Y"><LastName>Minnaar</LastName><ForeName>P C</ForeName><Initials>PC</Initials></Author></AuthorList><Language>eng</Language><PublicationTypeList><PublicationType>Journal Article</PublicationType></PublicationTypeList></Article><MedlineJournalInfo><Country>UNITED STATES</Country><MedlineTA>Med Phys</MedlineTA><NlmUniqueID>0425746</NlmUniqueID><ISSNLinking>0094-2405</ISSNLinking></MedlineJournalInfo><ChemicalList><Chemical><RegistryNumber>0</RegistryNumber><NameOfSubstance>Indium Radioisotopes</NameOfSubstance></Chemical></ChemicalList><CitationSubset>IM</CitationSubset><MeshHeadingList><MeshHeading><DescriptorName MajorTopicYN="N">Blood Platelets</DescriptorName><QualifierName MajorTopicYN="N">radionuclide imaging</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N">Humans</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N">Indium Radioisotopes</DescriptorName><QualifierName MajorTopicYN="Y">diagnostic use</QualifierName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N">Mathematics</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="Y">Models, Anatomic</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N">Models, Theoretical</DescriptorName></MeshHeading><MeshHeading><DescriptorName MajorTopicYN="N">Radionuclide Imaging</DescriptorName><QualifierName MajorTopicYN="Y">methods</QualifierName></MeshHeading></MeshHeadingList></MedlineCitation><PubmedData><History><PubMedPubDate PubStatus="pubmed"><Year>1988</Year><Month>11</Month><Day>1</Day></PubMedPubDate><PubMedPubDate PubStatus="medline"><Year>1988</Year><Month>11</Month><Day>1</Day><Hour>0</Hour><Minute>1</Minute></PubMedPubDate><PubMedPubDate PubStatus="entrez"><Year>1988</Year><Month>11</Month><Day>1</Day><Hour>0</Hour><Minute>0</Minute></PubMedPubDate></History><PublicationStatus>ppublish</PublicationStatus><ArticleIdList><ArticleId IdType="pubmed">3237142</ArticleId></ArticleIdList></PubmedData></pubmed></record>Pour manipuler ce document sous Unix (Dilib)
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