Ontology type: schema:ScholarlyArticle Open Access: True
2020-12-10
AUTHORSJarmo Teuho, Leon Riehakainen, Aake Honkaniemi, Olli Moisio, Chunlei Han, Marko Tirri, Shihao Liu, Tove J. Grönroos, Jie Liu, Lin Wan, Xiao Liang, Yiqing Ling, Yuexuan Hua, Anne Roivainen, Juhani Knuuti, Qingguo Xie, Mika Teräs, Nicola D’Ascenzo, Riku Klén
ABSTRACTBackgroundWe investigated the image quality of 11C, 68Ga, 18F and 89Zr, which have different positron fractions, physical half-lifes and positron ranges. Three small animal positron emission tomography/computed tomography (PET/CT) systems were used in the evaluation, including the Siemens Inveon, RAYCAN X5 and Molecubes β-cube. The evaluation was performed on a single scanner level using the national electrical manufacturers association (NEMA) image quality phantom and analysis protocol. Acquisitions were performed with the standard NEMA protocol for 18F and using a radionuclide-specific acquisition time for 11C, 68Ga and 89Zr. Images were assessed using percent recovery coefficient (%RC), percentage standard deviation (%STD), image uniformity (%SD), spill-over ratio (SOR) and evaluation of image quantification. Results68Ga had the lowest %RC (< 62%) across all systems. 18F had the highest maximum %RC (> 85%) and lowest %STD for the 5 mm rod across all systems. For 11C and 89Zr, the maximum %RC was close (> 76%) to the %RC with 18F. A larger SOR were measured in water with 11C and 68Ga compared to 18F on all systems. SOR in air reflected image reconstruction and data correction performance. Large variation in image quantification was observed, with maximal errors of 22.73% (89Zr, Inveon), 17.54% (89Zr, RAYCAN) and − 14.87% (68Ga, Molecubes).ConclusionsThe systems performed most optimal in terms of NEMA image quality parameters when using 18F, where 11C and 89Zr performed slightly worse than 18F. The performance was least optimal when using 68Ga, due to large positron range. The large quantification differences prompt optimization not only by terms of image quality but also quantification. Further investigation should be performed to find an appropriate calibration and harmonization protocol and the evaluation should be conducted on a multi-scanner and multi-center level. More... »
PAGES155
http://scigraph.springernature.com/pub.10.1186/s13550-020-00724-z
DOIhttp://dx.doi.org/10.1186/s13550-020-00724-z
DIMENSIONShttps://app.dimensions.ai/details/publication/pub.1133379538
PUBMEDhttps://www.ncbi.nlm.nih.gov/pubmed/33301074
JSON-LD is the canonical representation for SciGraph data.
TIP: You can open this SciGraph record using an external JSON-LD service: JSON-LD Playground Google SDTT
[
{
"@context": "https://springernature.github.io/scigraph/jsonld/sgcontext.json",
"about": [
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/11",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical and Health Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1101",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Medical Biochemistry and Metabolomics",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1103",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Clinical Sciences",
"type": "DefinedTerm"
},
{
"id": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/1112",
"inDefinedTermSet": "http://purl.org/au-research/vocabulary/anzsrc-for/2008/",
"name": "Oncology and Carcinogenesis",
"type": "DefinedTerm"
}
],
"author": [
{
"affiliation": {
"alternateName": "Turku PET Centre, Turku University Hospital, Turku, Finland",
"id": "http://www.grid.ac/institutes/grid.470895.7",
"name": [
"Turku PET Centre, University of Turku, Turku, Finland",
"Turku PET Centre, Turku University Hospital, Turku, Finland"
],
"type": "Organization"
},
"familyName": "Teuho",
"givenName": "Jarmo",
"id": "sg:person.01300017613.20",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01300017613.20"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Turku PET Centre, University of Turku, Turku, Finland",
"id": "http://www.grid.ac/institutes/grid.470895.7",
"name": [
"Turku PET Centre, University of Turku, Turku, Finland"
],
"type": "Organization"
},
"familyName": "Riehakainen",
"givenName": "Leon",
"id": "sg:person.016373224145.58",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016373224145.58"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Turku PET Centre, Turku University Hospital, Turku, Finland",
"id": "http://www.grid.ac/institutes/grid.470895.7",
"name": [
"Turku PET Centre, Turku University Hospital, Turku, Finland"
],
"type": "Organization"
},
"familyName": "Honkaniemi",
"givenName": "Aake",
"id": "sg:person.07670152745.46",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.07670152745.46"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Turku PET Centre, University of Turku, Turku, Finland",
"id": "http://www.grid.ac/institutes/grid.470895.7",
"name": [
"Turku PET Centre, University of Turku, Turku, Finland"
],
"type": "Organization"
},
"familyName": "Moisio",
"givenName": "Olli",
"id": "sg:person.016045676667.81",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.016045676667.81"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Turku PET Centre, Turku University Hospital, Turku, Finland",
"id": "http://www.grid.ac/institutes/grid.470895.7",
"name": [
"Turku PET Centre, Turku University Hospital, Turku, Finland"
],
"type": "Organization"
},
"familyName": "Han",
"givenName": "Chunlei",
"id": "sg:person.01002717204.50",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01002717204.50"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Biomedicine, University of Turku, Turku, Finland",
"id": "http://www.grid.ac/institutes/grid.1374.1",
"name": [
"Turku PET Centre, University of Turku, Turku, Finland",
"Department of Biomedicine, University of Turku, Turku, Finland"
],
"type": "Organization"
},
"familyName": "Tirri",
"givenName": "Marko",
"id": "sg:person.01216532724.70",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01216532724.70"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "RaySolution Digital Medical Imaging Co., Ltd, Ezhou, People\u2019s Republic of China",
"id": "http://www.grid.ac/institutes/None",
"name": [
"RaySolution Digital Medical Imaging Co., Ltd, Ezhou, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Liu",
"givenName": "Shihao",
"id": "sg:person.012343733421.60",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.012343733421.60"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "MediCity Research Laboratory, University of Turku, Turku, Finland",
"id": "http://www.grid.ac/institutes/grid.1374.1",
"name": [
"Turku PET Centre, University of Turku, Turku, Finland",
"MediCity Research Laboratory, University of Turku, Turku, Finland"
],
"type": "Organization"
},
"familyName": "Gr\u00f6nroos",
"givenName": "Tove J.",
"id": "sg:person.01102756462.43",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01102756462.43"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, People\u2019s Republic of China",
"id": "http://www.grid.ac/institutes/grid.33199.31",
"name": [
"School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Liu",
"givenName": "Jie",
"type": "Person"
},
{
"affiliation": {
"alternateName": "School of Software Engineering, Huazhong University of Science and Technology, Wuhan, People\u2019s Republic of China",
"id": "http://www.grid.ac/institutes/grid.33199.31",
"name": [
"School of Software Engineering, Huazhong University of Science and Technology, Wuhan, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Wan",
"givenName": "Lin",
"id": "sg:person.011770630533.97",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011770630533.97"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, People\u2019s Republic of China",
"id": "http://www.grid.ac/institutes/grid.33199.31",
"name": [
"School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Liang",
"givenName": "Xiao",
"id": "sg:person.011641245025.59",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011641245025.59"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, People\u2019s Republic of China",
"id": "http://www.grid.ac/institutes/grid.33199.31",
"name": [
"School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Ling",
"givenName": "Yiqing",
"id": "sg:person.010243072715.25",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.010243072715.25"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, People\u2019s Republic of China",
"id": "http://www.grid.ac/institutes/grid.33199.31",
"name": [
"School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, People\u2019s Republic of China"
],
"type": "Organization"
},
"familyName": "Hua",
"givenName": "Yuexuan",
"id": "sg:person.014375144433.24",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014375144433.24"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Turku Center for Disease Modeling, University of Turku, Turku, Finland",
"id": "http://www.grid.ac/institutes/grid.1374.1",
"name": [
"Turku PET Centre, University of Turku, Turku, Finland",
"Turku PET Centre, Turku University Hospital, Turku, Finland",
"Turku Center for Disease Modeling, University of Turku, Turku, Finland"
],
"type": "Organization"
},
"familyName": "Roivainen",
"givenName": "Anne",
"id": "sg:person.01031503426.04",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01031503426.04"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Turku PET Centre, Turku University Hospital, Turku, Finland",
"id": "http://www.grid.ac/institutes/grid.470895.7",
"name": [
"Turku PET Centre, University of Turku, Turku, Finland",
"Turku PET Centre, Turku University Hospital, Turku, Finland"
],
"type": "Organization"
},
"familyName": "Knuuti",
"givenName": "Juhani",
"id": "sg:person.01163336756.79",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01163336756.79"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China",
"id": "http://www.grid.ac/institutes/grid.33199.31",
"name": [
"School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, People\u2019s Republic of China",
"Department of Medical Physics and Engineering, Istituto Neurologico Mediterraneo NEUROMED I.R.C.C.S., Pozzilli, Italy",
"Wuhan National Laboratory for Optoelectronics, Huazhong University of Science and Technology, Wuhan, China"
],
"type": "Organization"
},
"familyName": "Xie",
"givenName": "Qingguo",
"id": "sg:person.01035755713.92",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01035755713.92"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Medical Physics, Turku University Hospital, Turku, Finland",
"id": "http://www.grid.ac/institutes/grid.410552.7",
"name": [
"Department of Biomedicine, University of Turku, Turku, Finland",
"Department of Medical Physics, Turku University Hospital, Turku, Finland"
],
"type": "Organization"
},
"familyName": "Ter\u00e4s",
"givenName": "Mika",
"id": "sg:person.01101061462.02",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.01101061462.02"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Department of Medical Physics and Engineering, Istituto Neurologico Mediterraneo NEUROMED I.R.C.C.S., Pozzilli, Italy",
"id": "http://www.grid.ac/institutes/grid.419543.e",
"name": [
"School of Life Science and Technology, Huazhong University of Science and Technology, Wuhan, People\u2019s Republic of China",
"Department of Medical Physics and Engineering, Istituto Neurologico Mediterraneo NEUROMED I.R.C.C.S., Pozzilli, Italy"
],
"type": "Organization"
},
"familyName": "D\u2019Ascenzo",
"givenName": "Nicola",
"id": "sg:person.011656550073.46",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.011656550073.46"
],
"type": "Person"
},
{
"affiliation": {
"alternateName": "Turku PET Centre, University of Turku, Turku, Finland",
"id": "http://www.grid.ac/institutes/grid.470895.7",
"name": [
"Turku PET Centre, University of Turku, Turku, Finland"
],
"type": "Organization"
},
"familyName": "Kl\u00e9n",
"givenName": "Riku",
"id": "sg:person.014042715235.25",
"sameAs": [
"https://app.dimensions.ai/discover/publication?and_facet_researcher=ur.014042715235.25"
],
"type": "Person"
}
],
"citation": [
{
"id": "sg:pub.10.1007/s11307-018-1161-7",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1100479553",
"https://doi.org/10.1007/s11307-018-1161-7"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11307-017-1074-x",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1084031017",
"https://doi.org/10.1007/s11307-017-1074-x"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s40658-020-0279-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1125115007",
"https://doi.org/10.1186/s40658-020-0279-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11307-016-1035-9",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1051007320",
"https://doi.org/10.1007/s11307-016-1035-9"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11307-017-1126-2",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1092066418",
"https://doi.org/10.1007/s11307-017-1126-2"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1186/s40658-016-0144-5",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1036370547",
"https://doi.org/10.1186/s40658-016-0144-5"
],
"type": "CreativeWork"
},
{
"id": "sg:pub.10.1007/s11307-016-1012-3",
"sameAs": [
"https://app.dimensions.ai/details/publication/pub.1031574709",
"https://doi.org/10.1007/s11307-016-1012-3"
],
"type": "CreativeWork"
}
],
"datePublished": "2020-12-10",
"datePublishedReg": "2020-12-10",
"description": "BackgroundWe investigated the image quality of 11C, 68Ga, 18F and 89Zr, which have different positron fractions, physical half-lifes and positron ranges. Three small animal positron emission tomography/computed tomography (PET/CT) systems were used in the evaluation, including the Siemens Inveon, RAYCAN X5 and Molecubes \u03b2-cube. The evaluation was performed on a single scanner level using the national electrical manufacturers association (NEMA) image quality phantom and analysis protocol. Acquisitions were performed with the standard NEMA protocol for 18F and using a radionuclide-specific acquisition time for 11C, 68Ga and 89Zr. Images were assessed using percent recovery coefficient (%RC), percentage standard deviation (%STD), image uniformity (%SD), spill-over ratio (SOR) and evaluation of image quantification.\nResults68Ga had the lowest %RC (<\u200962%) across all systems. 18F had the highest maximum %RC (>\u200985%) and lowest %STD for the 5\u00a0mm rod across all systems. For 11C and 89Zr, the maximum %RC was close (>\u200976%) to the %RC with 18F. A larger SOR were measured in water with 11C and 68Ga compared to 18F on all systems. SOR in air reflected image reconstruction and data correction performance. Large variation in image quantification was observed, with maximal errors of 22.73% (89Zr, Inveon), 17.54% (89Zr, RAYCAN) and \u2212\u200914.87% (68Ga, Molecubes).ConclusionsThe systems performed most optimal in terms of NEMA image quality parameters when using 18F, where 11C and 89Zr performed slightly worse than 18F. The performance was least optimal when using 68Ga, due to large positron range. The large quantification differences prompt optimization not only by terms of image quality but also quantification. Further investigation should be performed to find an appropriate calibration and harmonization protocol and the evaluation should be conducted on a multi-scanner and multi-center level.",
"genre": "article",
"id": "sg:pub.10.1186/s13550-020-00724-z",
"inLanguage": "en",
"isAccessibleForFree": true,
"isPartOf": [
{
"id": "sg:journal.1045165",
"issn": [
"2191-219X"
],
"name": "EJNMMI Research",
"publisher": "Springer Nature",
"type": "Periodical"
},
{
"issueNumber": "1",
"type": "PublicationIssue"
},
{
"type": "PublicationVolume",
"volumeNumber": "10"
}
],
"keywords": [
"image quality",
"tomography system",
"recovery coefficient",
"image uniformity",
"ConclusionsThe system",
"appropriate calibration",
"maximal error",
"image reconstruction",
"image quality phantom",
"RC",
"performance",
"quality parameters",
"acquisition time",
"system",
"correction performance",
"image quality parameters",
"National Electrical Manufacturers Association image-quality phantom",
"air",
"uniformity",
"percentage standard deviation",
"large positron range",
"emitters",
"NEMA protocol",
"standard deviation",
"optimization",
"calibration",
"rods",
"water",
"large variation",
"coefficient",
"image quantification",
"phantom",
"CT system",
"parameters",
"spill",
"SOR",
"error",
"quantification",
"quality",
"range",
"ratio",
"terms",
"evaluation",
"investigation",
"deviation",
"analysis protocol",
"fraction",
"images",
"variation",
"time",
"reconstruction",
"positron range",
"harmonization protocol",
"PET/CT system",
"acquisition",
"protocol",
"further investigation",
"levels",
"Inveon",
"STDs",
"positron emitters",
"X5",
"positrons",
"positron fraction",
"Siemens Inveon",
"positron emission tomography/",
"small-animal positron emission tomography/",
"emission tomography/",
"prompt optimization",
"multi-center level",
"tomography/",
"BackgroundWe"
],
"name": "Evaluation of image quality with four positron emitters and three preclinical PET/CT systems",
"pagination": "155",
"productId": [
{
"name": "dimensions_id",
"type": "PropertyValue",
"value": [
"pub.1133379538"
]
},
{
"name": "doi",
"type": "PropertyValue",
"value": [
"10.1186/s13550-020-00724-z"
]
},
{
"name": "pubmed_id",
"type": "PropertyValue",
"value": [
"33301074"
]
}
],
"sameAs": [
"https://doi.org/10.1186/s13550-020-00724-z",
"https://app.dimensions.ai/details/publication/pub.1133379538"
],
"sdDataset": "articles",
"sdDatePublished": "2022-05-10T10:28",
"sdLicense": "https://scigraph.springernature.com/explorer/license/",
"sdPublisher": {
"name": "Springer Nature - SN SciGraph project",
"type": "Organization"
},
"sdSource": "s3://com-springernature-scigraph/baseset/20220509/entities/gbq_results/article/article_869.jsonl",
"type": "ScholarlyArticle",
"url": "https://doi.org/10.1186/s13550-020-00724-z"
}
]
Download the RDF metadata as: json-ld nt turtle xml License info
JSON-LD is a popular format for linked data which is fully compatible with JSON.
curl -H 'Accept: application/ld+json' 'https://scigraph.springernature.com/pub.10.1186/s13550-020-00724-z'
N-Triples is a line-based linked data format ideal for batch operations.
curl -H 'Accept: application/n-triples' 'https://scigraph.springernature.com/pub.10.1186/s13550-020-00724-z'
Turtle is a human-readable linked data format.
curl -H 'Accept: text/turtle' 'https://scigraph.springernature.com/pub.10.1186/s13550-020-00724-z'
RDF/XML is a standard XML format for linked data.
curl -H 'Accept: application/rdf+xml' 'https://scigraph.springernature.com/pub.10.1186/s13550-020-00724-z'
This table displays all metadata directly associated to this object as RDF triples.
324 TRIPLES
22 PREDICATES
107 URIs
90 LITERALS
7 BLANK NODES