Spectral Hounsfield units: a new radiological concept

Objective Computed tomography (CT) uses radiographical density to depict different materials; although different elements have different absorption fingerprints across the range of diagnostic X-ray energies, this spectral absorption information is lost in conventional CT. The recent development of d...

Ausführliche Beschreibung

Gespeichert in:
Bibliographische Detailangaben
Veröffentlicht in:European radiology 2012-05, Vol.22 (5), p.1008-1013
Hauptverfasser: Hurrell, Michael Anthony, Butler, Anthony Philip Howard, Cook, Nicholas James, Butler, Philip Howard, Ronaldson, J. Paul, Zainon, Rafidah
Format: Artikel
Sprache:eng
Schlagworte:
Online-Zugang:Volltext
Tags: Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
container_end_page 1013
container_issue 5
container_start_page 1008
container_title European radiology
container_volume 22
creator Hurrell, Michael Anthony
Butler, Anthony Philip Howard
Cook, Nicholas James
Butler, Philip Howard
Ronaldson, J. Paul
Zainon, Rafidah
description Objective Computed tomography (CT) uses radiographical density to depict different materials; although different elements have different absorption fingerprints across the range of diagnostic X-ray energies, this spectral absorption information is lost in conventional CT. The recent development of dual energy CT (DECT) allows extraction of this information to a useful but limited extent. However, the advent of new photon counting chips that have energy resolution capabilities has put multi-energy or spectral CT (SCT) on the clinical horizon. Methods This paper uses a prototype SCT system to demonstrate how CT density measurements vary with kilovoltage. Results While radiologists learn about linear attenuation curves during radiology training, they do not usually need a detailed understanding of this phenomenon in their clinical practice. However SCT requires a paradigm shift in how radiologists think about CT density. Conclusion Because radiologists are already familiar with the Hounsfield Unit (HU), it is proposed that a modified HU be used that includes the mean energy used to obtain the image, as a conceptual bridge between conventional CT and SCT. A suggested format would be: HU keV . Key Points • Spectral computed tomography uses K-edge and slope effects to identify element signatures . • New visualisation tools will be required to efficiently display spectral CT information . • This paper demonstrates HU variation with keV using the Medipix3 chip . • HU keV is a suggested format when stating spectral HU measurements .
doi_str_mv 10.1007/s00330-011-2348-3
format Article
fullrecord <record><control><sourceid>proquest_cross</sourceid><recordid>TN_cdi_proquest_miscellaneous_993100695</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><sourcerecordid>993100695</sourcerecordid><originalsourceid>FETCH-LOGICAL-c370t-c4a7ff65847fc203d15a1da6efa02753557932b39cc0256a80fb9b27323a02d43</originalsourceid><addsrcrecordid>eNp1kMFKxDAQhoMo7rr6AF6kePFUnWTSpvEmi7rCggf1HNI0Xbp0mzVpEd_eLF0VBE9zmO__Z_gIOadwTQHETQBAhBQoTRnyIsUDMqUcWUqh4IdkChKLVEjJJ-QkhDUASMrFMZkwRiMv-ZRkL1treq_bZOGGLtSNbatk6Jo-3CY66exH4nXVuNatGhMh4zpjt_0pOap1G-zZfs7I28P963yRLp8fn-Z3y9SggD41XIu6zrOCi9owwIpmmlY6t7UGJjLMMiGRlSiNAZbluoC6lCUTyDACFccZuRp7t969Dzb0atMEY9tWd9YNQUmJUUQus0he_iHXbvBdfE5JQakEpCxCdISMdyF4W6utbzbafyoKamdUjUZVNKp2RhXGzMW-eCg3tvpJfCuMABuBEFfdyvrfy_-3fgFjiH51</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>971190312</pqid></control><display><type>article</type><title>Spectral Hounsfield units: a new radiological concept</title><source>MEDLINE</source><source>SpringerLink Journals - AutoHoldings</source><creator>Hurrell, Michael Anthony ; Butler, Anthony Philip Howard ; Cook, Nicholas James ; Butler, Philip Howard ; Ronaldson, J. Paul ; Zainon, Rafidah</creator><creatorcontrib>Hurrell, Michael Anthony ; Butler, Anthony Philip Howard ; Cook, Nicholas James ; Butler, Philip Howard ; Ronaldson, J. Paul ; Zainon, Rafidah</creatorcontrib><description>Objective Computed tomography (CT) uses radiographical density to depict different materials; although different elements have different absorption fingerprints across the range of diagnostic X-ray energies, this spectral absorption information is lost in conventional CT. The recent development of dual energy CT (DECT) allows extraction of this information to a useful but limited extent. However, the advent of new photon counting chips that have energy resolution capabilities has put multi-energy or spectral CT (SCT) on the clinical horizon. Methods This paper uses a prototype SCT system to demonstrate how CT density measurements vary with kilovoltage. Results While radiologists learn about linear attenuation curves during radiology training, they do not usually need a detailed understanding of this phenomenon in their clinical practice. However SCT requires a paradigm shift in how radiologists think about CT density. Conclusion Because radiologists are already familiar with the Hounsfield Unit (HU), it is proposed that a modified HU be used that includes the mean energy used to obtain the image, as a conceptual bridge between conventional CT and SCT. A suggested format would be: HU keV . Key Points • Spectral computed tomography uses K-edge and slope effects to identify element signatures . • New visualisation tools will be required to efficiently display spectral CT information . • This paper demonstrates HU variation with keV using the Medipix3 chip . • HU keV is a suggested format when stating spectral HU measurements .</description><identifier>ISSN: 0938-7994</identifier><identifier>EISSN: 1432-1084</identifier><identifier>DOI: 10.1007/s00330-011-2348-3</identifier><identifier>PMID: 22134894</identifier><language>eng</language><publisher>Berlin/Heidelberg: Springer-Verlag</publisher><subject>Computed Tomography ; Diagnostic Radiology ; Energy ; Equipment Design ; Equipment Failure Analysis ; Humans ; Imaging ; Internal Medicine ; Interventional Radiology ; Mars ; Medicine ; Medicine &amp; Public Health ; Neuroradiology ; Phantoms, Imaging ; Radiation ; Radiographic Image Interpretation, Computer-Assisted - methods ; Radiology ; Reproducibility of Results ; Sensitivity and Specificity ; Sensors ; Tomography ; Tomography, X-Ray Computed - instrumentation ; Tomography, X-Ray Computed - methods ; Ultrasound</subject><ispartof>European radiology, 2012-05, Vol.22 (5), p.1008-1013</ispartof><rights>European Society of Radiology 2011</rights><rights>European Society of Radiology 2012</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c370t-c4a7ff65847fc203d15a1da6efa02753557932b39cc0256a80fb9b27323a02d43</citedby><cites>FETCH-LOGICAL-c370t-c4a7ff65847fc203d15a1da6efa02753557932b39cc0256a80fb9b27323a02d43</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s00330-011-2348-3$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s00330-011-2348-3$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,780,784,27923,27924,41487,42556,51318</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/22134894$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Hurrell, Michael Anthony</creatorcontrib><creatorcontrib>Butler, Anthony Philip Howard</creatorcontrib><creatorcontrib>Cook, Nicholas James</creatorcontrib><creatorcontrib>Butler, Philip Howard</creatorcontrib><creatorcontrib>Ronaldson, J. Paul</creatorcontrib><creatorcontrib>Zainon, Rafidah</creatorcontrib><title>Spectral Hounsfield units: a new radiological concept</title><title>European radiology</title><addtitle>Eur Radiol</addtitle><addtitle>Eur Radiol</addtitle><description>Objective Computed tomography (CT) uses radiographical density to depict different materials; although different elements have different absorption fingerprints across the range of diagnostic X-ray energies, this spectral absorption information is lost in conventional CT. The recent development of dual energy CT (DECT) allows extraction of this information to a useful but limited extent. However, the advent of new photon counting chips that have energy resolution capabilities has put multi-energy or spectral CT (SCT) on the clinical horizon. Methods This paper uses a prototype SCT system to demonstrate how CT density measurements vary with kilovoltage. Results While radiologists learn about linear attenuation curves during radiology training, they do not usually need a detailed understanding of this phenomenon in their clinical practice. However SCT requires a paradigm shift in how radiologists think about CT density. Conclusion Because radiologists are already familiar with the Hounsfield Unit (HU), it is proposed that a modified HU be used that includes the mean energy used to obtain the image, as a conceptual bridge between conventional CT and SCT. A suggested format would be: HU keV . Key Points • Spectral computed tomography uses K-edge and slope effects to identify element signatures . • New visualisation tools will be required to efficiently display spectral CT information . • This paper demonstrates HU variation with keV using the Medipix3 chip . • HU keV is a suggested format when stating spectral HU measurements .</description><subject>Computed Tomography</subject><subject>Diagnostic Radiology</subject><subject>Energy</subject><subject>Equipment Design</subject><subject>Equipment Failure Analysis</subject><subject>Humans</subject><subject>Imaging</subject><subject>Internal Medicine</subject><subject>Interventional Radiology</subject><subject>Mars</subject><subject>Medicine</subject><subject>Medicine &amp; Public Health</subject><subject>Neuroradiology</subject><subject>Phantoms, Imaging</subject><subject>Radiation</subject><subject>Radiographic Image Interpretation, Computer-Assisted - methods</subject><subject>Radiology</subject><subject>Reproducibility of Results</subject><subject>Sensitivity and Specificity</subject><subject>Sensors</subject><subject>Tomography</subject><subject>Tomography, X-Ray Computed - instrumentation</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Ultrasound</subject><issn>0938-7994</issn><issn>1432-1084</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2012</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>ABUWG</sourceid><sourceid>AFKRA</sourceid><sourceid>AZQEC</sourceid><sourceid>BENPR</sourceid><sourceid>CCPQU</sourceid><sourceid>DWQXO</sourceid><sourceid>GNUQQ</sourceid><recordid>eNp1kMFKxDAQhoMo7rr6AF6kePFUnWTSpvEmi7rCggf1HNI0Xbp0mzVpEd_eLF0VBE9zmO__Z_gIOadwTQHETQBAhBQoTRnyIsUDMqUcWUqh4IdkChKLVEjJJ-QkhDUASMrFMZkwRiMv-ZRkL1treq_bZOGGLtSNbatk6Jo-3CY66exH4nXVuNatGhMh4zpjt_0pOap1G-zZfs7I28P963yRLp8fn-Z3y9SggD41XIu6zrOCi9owwIpmmlY6t7UGJjLMMiGRlSiNAZbluoC6lCUTyDACFccZuRp7t969Dzb0atMEY9tWd9YNQUmJUUQus0he_iHXbvBdfE5JQakEpCxCdISMdyF4W6utbzbafyoKamdUjUZVNKp2RhXGzMW-eCg3tvpJfCuMABuBEFfdyvrfy_-3fgFjiH51</recordid><startdate>20120501</startdate><enddate>20120501</enddate><creator>Hurrell, Michael Anthony</creator><creator>Butler, Anthony Philip Howard</creator><creator>Cook, Nicholas James</creator><creator>Butler, Philip Howard</creator><creator>Ronaldson, J. Paul</creator><creator>Zainon, Rafidah</creator><general>Springer-Verlag</general><general>Springer Nature B.V</general><scope>CGR</scope><scope>CUY</scope><scope>CVF</scope><scope>ECM</scope><scope>EIF</scope><scope>NPM</scope><scope>AAYXX</scope><scope>CITATION</scope><scope>3V.</scope><scope>7QO</scope><scope>7RV</scope><scope>7X7</scope><scope>7XB</scope><scope>88E</scope><scope>8AO</scope><scope>8FD</scope><scope>8FE</scope><scope>8FG</scope><scope>8FH</scope><scope>8FI</scope><scope>8FJ</scope><scope>8FK</scope><scope>ABUWG</scope><scope>AFKRA</scope><scope>ARAPS</scope><scope>AZQEC</scope><scope>BBNVY</scope><scope>BENPR</scope><scope>BGLVJ</scope><scope>BHPHI</scope><scope>CCPQU</scope><scope>DWQXO</scope><scope>FR3</scope><scope>FYUFA</scope><scope>GHDGH</scope><scope>GNUQQ</scope><scope>HCIFZ</scope><scope>K9.</scope><scope>KB0</scope><scope>LK8</scope><scope>M0S</scope><scope>M1P</scope><scope>M7P</scope><scope>NAPCQ</scope><scope>P5Z</scope><scope>P62</scope><scope>P64</scope><scope>PQEST</scope><scope>PQQKQ</scope><scope>PQUKI</scope><scope>PRINS</scope><scope>7X8</scope></search><sort><creationdate>20120501</creationdate><title>Spectral Hounsfield units: a new radiological concept</title><author>Hurrell, Michael Anthony ; Butler, Anthony Philip Howard ; Cook, Nicholas James ; Butler, Philip Howard ; Ronaldson, J. Paul ; Zainon, Rafidah</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c370t-c4a7ff65847fc203d15a1da6efa02753557932b39cc0256a80fb9b27323a02d43</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2012</creationdate><topic>Computed Tomography</topic><topic>Diagnostic Radiology</topic><topic>Energy</topic><topic>Equipment Design</topic><topic>Equipment Failure Analysis</topic><topic>Humans</topic><topic>Imaging</topic><topic>Internal Medicine</topic><topic>Interventional Radiology</topic><topic>Mars</topic><topic>Medicine</topic><topic>Medicine &amp; Public Health</topic><topic>Neuroradiology</topic><topic>Phantoms, Imaging</topic><topic>Radiation</topic><topic>Radiographic Image Interpretation, Computer-Assisted - methods</topic><topic>Radiology</topic><topic>Reproducibility of Results</topic><topic>Sensitivity and Specificity</topic><topic>Sensors</topic><topic>Tomography</topic><topic>Tomography, X-Ray Computed - instrumentation</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Hurrell, Michael Anthony</creatorcontrib><creatorcontrib>Butler, Anthony Philip Howard</creatorcontrib><creatorcontrib>Cook, Nicholas James</creatorcontrib><creatorcontrib>Butler, Philip Howard</creatorcontrib><creatorcontrib>Ronaldson, J. Paul</creatorcontrib><creatorcontrib>Zainon, Rafidah</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>ProQuest Central (Corporate)</collection><collection>Biotechnology Research Abstracts</collection><collection>Nursing &amp; Allied Health Database</collection><collection>Health &amp; Medical Collection</collection><collection>ProQuest Central (purchase pre-March 2016)</collection><collection>Medical Database (Alumni Edition)</collection><collection>ProQuest Pharma Collection</collection><collection>Technology Research Database</collection><collection>ProQuest SciTech Collection</collection><collection>ProQuest Technology Collection</collection><collection>ProQuest Natural Science Collection</collection><collection>Hospital Premium Collection</collection><collection>Hospital Premium Collection (Alumni Edition)</collection><collection>ProQuest Central (Alumni) (purchase pre-March 2016)</collection><collection>ProQuest Central (Alumni Edition)</collection><collection>ProQuest Central UK/Ireland</collection><collection>Advanced Technologies &amp; Aerospace Collection</collection><collection>ProQuest Central Essentials</collection><collection>Biological Science Collection</collection><collection>ProQuest Central</collection><collection>Technology Collection</collection><collection>Natural Science Collection</collection><collection>ProQuest One Community College</collection><collection>ProQuest Central Korea</collection><collection>Engineering Research Database</collection><collection>Health Research Premium Collection</collection><collection>Health Research Premium Collection (Alumni)</collection><collection>ProQuest Central Student</collection><collection>SciTech Premium Collection</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Nursing &amp; Allied Health Database (Alumni Edition)</collection><collection>ProQuest Biological Science Collection</collection><collection>Health &amp; Medical Collection (Alumni Edition)</collection><collection>Medical Database</collection><collection>Biological Science Database</collection><collection>Nursing &amp; Allied Health Premium</collection><collection>Advanced Technologies &amp; Aerospace Database</collection><collection>ProQuest Advanced Technologies &amp; Aerospace Collection</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>ProQuest One Academic Eastern Edition (DO NOT USE)</collection><collection>ProQuest One Academic</collection><collection>ProQuest One Academic UKI Edition</collection><collection>ProQuest Central China</collection><collection>MEDLINE - Academic</collection><jtitle>European radiology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Hurrell, Michael Anthony</au><au>Butler, Anthony Philip Howard</au><au>Cook, Nicholas James</au><au>Butler, Philip Howard</au><au>Ronaldson, J. Paul</au><au>Zainon, Rafidah</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Spectral Hounsfield units: a new radiological concept</atitle><jtitle>European radiology</jtitle><stitle>Eur Radiol</stitle><addtitle>Eur Radiol</addtitle><date>2012-05-01</date><risdate>2012</risdate><volume>22</volume><issue>5</issue><spage>1008</spage><epage>1013</epage><pages>1008-1013</pages><issn>0938-7994</issn><eissn>1432-1084</eissn><abstract>Objective Computed tomography (CT) uses radiographical density to depict different materials; although different elements have different absorption fingerprints across the range of diagnostic X-ray energies, this spectral absorption information is lost in conventional CT. The recent development of dual energy CT (DECT) allows extraction of this information to a useful but limited extent. However, the advent of new photon counting chips that have energy resolution capabilities has put multi-energy or spectral CT (SCT) on the clinical horizon. Methods This paper uses a prototype SCT system to demonstrate how CT density measurements vary with kilovoltage. Results While radiologists learn about linear attenuation curves during radiology training, they do not usually need a detailed understanding of this phenomenon in their clinical practice. However SCT requires a paradigm shift in how radiologists think about CT density. Conclusion Because radiologists are already familiar with the Hounsfield Unit (HU), it is proposed that a modified HU be used that includes the mean energy used to obtain the image, as a conceptual bridge between conventional CT and SCT. A suggested format would be: HU keV . Key Points • Spectral computed tomography uses K-edge and slope effects to identify element signatures . • New visualisation tools will be required to efficiently display spectral CT information . • This paper demonstrates HU variation with keV using the Medipix3 chip . • HU keV is a suggested format when stating spectral HU measurements .</abstract><cop>Berlin/Heidelberg</cop><pub>Springer-Verlag</pub><pmid>22134894</pmid><doi>10.1007/s00330-011-2348-3</doi><tpages>6</tpages></addata></record>
fulltext fulltext
identifier ISSN: 0938-7994
ispartof European radiology, 2012-05, Vol.22 (5), p.1008-1013
issn 0938-7994
1432-1084
language eng
recordid cdi_proquest_miscellaneous_993100695
source MEDLINE; SpringerLink Journals - AutoHoldings
subjects Computed Tomography
Diagnostic Radiology
Energy
Equipment Design
Equipment Failure Analysis
Humans
Imaging
Internal Medicine
Interventional Radiology
Mars
Medicine
Medicine & Public Health
Neuroradiology
Phantoms, Imaging
Radiation
Radiographic Image Interpretation, Computer-Assisted - methods
Radiology
Reproducibility of Results
Sensitivity and Specificity
Sensors
Tomography
Tomography, X-Ray Computed - instrumentation
Tomography, X-Ray Computed - methods
Ultrasound
title Spectral Hounsfield units: a new radiological concept
url https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-01-11T07%3A18%3A01IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-proquest_cross&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Spectral%20Hounsfield%20units:%20a%20new%20radiological%20concept&rft.jtitle=European%20radiology&rft.au=Hurrell,%20Michael%20Anthony&rft.date=2012-05-01&rft.volume=22&rft.issue=5&rft.spage=1008&rft.epage=1013&rft.pages=1008-1013&rft.issn=0938-7994&rft.eissn=1432-1084&rft_id=info:doi/10.1007/s00330-011-2348-3&rft_dat=%3Cproquest_cross%3E993100695%3C/proquest_cross%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=971190312&rft_id=info:pmid/22134894&rfr_iscdi=true