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Zero TE MR bone imaging in the head

Purpose To investigate proton density (PD)‐weighted zero TE (ZT) imaging for morphological depiction and segmentation of cranial bone structures. Methods A rotating ultra‐fast imaging sequence (RUFIS) type ZT pulse sequence was developed and optimized for 1) efficient capture of short T2 bone signal...

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Published in:Magnetic resonance in medicine 2016-01, Vol.75 (1), p.107-114
Main Authors: Wiesinger, Florian, Sacolick, Laura I., Menini, Anne, Kaushik, Sandeep S., Ahn, Sangtae, Veit-Haibach, Patrick, Delso, Gaspar, Shanbhag, Dattesh D.
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cites cdi_FETCH-LOGICAL-c4525-e79d8ded4047e13a73b743add74e1769bb8493e2b3d7e5e181c4d03711c169693
container_end_page 114
container_issue 1
container_start_page 107
container_title Magnetic resonance in medicine
container_volume 75
creator Wiesinger, Florian
Sacolick, Laura I.
Menini, Anne
Kaushik, Sandeep S.
Ahn, Sangtae
Veit-Haibach, Patrick
Delso, Gaspar
Shanbhag, Dattesh D.
description Purpose To investigate proton density (PD)‐weighted zero TE (ZT) imaging for morphological depiction and segmentation of cranial bone structures. Methods A rotating ultra‐fast imaging sequence (RUFIS) type ZT pulse sequence was developed and optimized for 1) efficient capture of short T2 bone signals and 2) flat PD response for soft‐tissues. An inverse logarithmic image scaling (i.e., −log(image)) was used to highlight bone and differentiate it from surrounding soft‐tissue and air. Furthermore, a histogram‐based bias‐correction method was developed for subsequent threshold‐based air, soft‐tissue, and bone segmentation. Results PD‐weighted ZT imaging in combination with an inverse logarithmic scaling was found to provide excellent depiction of cranial bone structures. In combination with bias correction, also excellent segmentation results were achieved. A two‐dimensional histogram analysis demonstrates a strong, approximately linear correlation between inverse log‐scaled ZT and low‐dose CT for Hounsfield units (HU) between −300 HU and 1,500 HU (corresponding to soft‐tissue and bone). Conclusions PD‐weighted ZT imaging provides robust and efficient depiction of bone structures in the head, with an excellent contrast between air, soft‐tissue, and bone. Besides structural bone imaging, the presented method is expected to be of relevance for attenuation correction in positron emission tomography (PET)/MR and MR‐based radiation therapy planning. Magn Reson Med 75:107–114, 2016. © 2015 Wiley Periodicals, Inc.
doi_str_mv 10.1002/mrm.25545
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Methods A rotating ultra‐fast imaging sequence (RUFIS) type ZT pulse sequence was developed and optimized for 1) efficient capture of short T2 bone signals and 2) flat PD response for soft‐tissues. An inverse logarithmic image scaling (i.e., −log(image)) was used to highlight bone and differentiate it from surrounding soft‐tissue and air. Furthermore, a histogram‐based bias‐correction method was developed for subsequent threshold‐based air, soft‐tissue, and bone segmentation. Results PD‐weighted ZT imaging in combination with an inverse logarithmic scaling was found to provide excellent depiction of cranial bone structures. In combination with bias correction, also excellent segmentation results were achieved. A two‐dimensional histogram analysis demonstrates a strong, approximately linear correlation between inverse log‐scaled ZT and low‐dose CT for Hounsfield units (HU) between −300 HU and 1,500 HU (corresponding to soft‐tissue and bone). Conclusions PD‐weighted ZT imaging provides robust and efficient depiction of bone structures in the head, with an excellent contrast between air, soft‐tissue, and bone. Besides structural bone imaging, the presented method is expected to be of relevance for attenuation correction in positron emission tomography (PET)/MR and MR‐based radiation therapy planning. Magn Reson Med 75:107–114, 2016. © 2015 Wiley Periodicals, Inc.</description><identifier>ISSN: 0740-3194</identifier><identifier>EISSN: 1522-2594</identifier><identifier>DOI: 10.1002/mrm.25545</identifier><identifier>PMID: 25639956</identifier><identifier>CODEN: MRMEEN</identifier><language>eng</language><publisher>United States: Blackwell Publishing Ltd</publisher><subject>Algorithms ; Attenuation ; attenuation correction ; Bias ; bone ; Bone imaging ; Computed tomography ; Correlation analysis ; Density ; Emission ; Humans ; Image Enhancement - methods ; Image Interpretation, Computer-Assisted - methods ; Image processing ; Image segmentation ; Imaging, Three-Dimensional - methods ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Medical imaging ; PET/MR ; Positron emission ; Positron emission tomography ; Proton density (concentration) ; Radiation ; Radiation therapy ; Reproducibility of Results ; Robustness ; RUFIS ; Scaling ; segmentation ; Sensitivity and Specificity ; Signal Processing, Computer-Assisted ; Skull ; Skull - anatomy &amp; histology ; Tissues ; UTE ; zero TE ; ZTE</subject><ispartof>Magnetic resonance in medicine, 2016-01, Vol.75 (1), p.107-114</ispartof><rights>2015 Wiley Periodicals, Inc.</rights><rights>2016 Wiley Periodicals, Inc.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c4525-e79d8ded4047e13a73b743add74e1769bb8493e2b3d7e5e181c4d03711c169693</citedby><cites>FETCH-LOGICAL-c4525-e79d8ded4047e13a73b743add74e1769bb8493e2b3d7e5e181c4d03711c169693</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,780,784,27924,27925</link.rule.ids><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/25639956$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Wiesinger, Florian</creatorcontrib><creatorcontrib>Sacolick, Laura I.</creatorcontrib><creatorcontrib>Menini, Anne</creatorcontrib><creatorcontrib>Kaushik, Sandeep S.</creatorcontrib><creatorcontrib>Ahn, Sangtae</creatorcontrib><creatorcontrib>Veit-Haibach, Patrick</creatorcontrib><creatorcontrib>Delso, Gaspar</creatorcontrib><creatorcontrib>Shanbhag, Dattesh D.</creatorcontrib><title>Zero TE MR bone imaging in the head</title><title>Magnetic resonance in medicine</title><addtitle>Magn. Reson. Med</addtitle><description>Purpose To investigate proton density (PD)‐weighted zero TE (ZT) imaging for morphological depiction and segmentation of cranial bone structures. Methods A rotating ultra‐fast imaging sequence (RUFIS) type ZT pulse sequence was developed and optimized for 1) efficient capture of short T2 bone signals and 2) flat PD response for soft‐tissues. An inverse logarithmic image scaling (i.e., −log(image)) was used to highlight bone and differentiate it from surrounding soft‐tissue and air. Furthermore, a histogram‐based bias‐correction method was developed for subsequent threshold‐based air, soft‐tissue, and bone segmentation. Results PD‐weighted ZT imaging in combination with an inverse logarithmic scaling was found to provide excellent depiction of cranial bone structures. In combination with bias correction, also excellent segmentation results were achieved. A two‐dimensional histogram analysis demonstrates a strong, approximately linear correlation between inverse log‐scaled ZT and low‐dose CT for Hounsfield units (HU) between −300 HU and 1,500 HU (corresponding to soft‐tissue and bone). Conclusions PD‐weighted ZT imaging provides robust and efficient depiction of bone structures in the head, with an excellent contrast between air, soft‐tissue, and bone. Besides structural bone imaging, the presented method is expected to be of relevance for attenuation correction in positron emission tomography (PET)/MR and MR‐based radiation therapy planning. Magn Reson Med 75:107–114, 2016. © 2015 Wiley Periodicals, Inc.</description><subject>Algorithms</subject><subject>Attenuation</subject><subject>attenuation correction</subject><subject>Bias</subject><subject>bone</subject><subject>Bone imaging</subject><subject>Computed tomography</subject><subject>Correlation analysis</subject><subject>Density</subject><subject>Emission</subject><subject>Humans</subject><subject>Image Enhancement - methods</subject><subject>Image Interpretation, Computer-Assisted - methods</subject><subject>Image processing</subject><subject>Image segmentation</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Medical imaging</subject><subject>PET/MR</subject><subject>Positron emission</subject><subject>Positron emission tomography</subject><subject>Proton density (concentration)</subject><subject>Radiation</subject><subject>Radiation therapy</subject><subject>Reproducibility of Results</subject><subject>Robustness</subject><subject>RUFIS</subject><subject>Scaling</subject><subject>segmentation</subject><subject>Sensitivity and Specificity</subject><subject>Signal Processing, Computer-Assisted</subject><subject>Skull</subject><subject>Skull - anatomy &amp; histology</subject><subject>Tissues</subject><subject>UTE</subject><subject>zero TE</subject><subject>ZTE</subject><issn>0740-3194</issn><issn>1522-2594</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2016</creationdate><recordtype>article</recordtype><recordid>eNqN0UtP3DAUBWCralWm0y74AygSG7oIXD-ub7wszyIxVEVUldhYSXyBwCQZ7BkB_56UARaVQKy8-e6RfI4QqxI2JYDaamO7qRANfhAjiUrlCp35KEZABnItnVkRX1K6AgDnyHwWKwqtdg7tSKyfceyz071scpJVfcdZ05YXTXeRNV02v-TsksvwVXw6L6eJvz29Y_Fnf-9052d-9OvgcOfHUV4bVJgzuVAEDgYMsdQl6YqMLkMgw5Ksq6rCOM2q0oEYWRayNgE0SVlL66zTY7GxzJ3F_mbBae7bJtU8nZYd94vkJZG1WKDFd1ALThE5GOj6f_SqX8Ru-IiXDixoIHRvKkLCQtqhs7H4vlR17FOKfO5ncSgs3nsJ_t8UfpjCP04x2LWnxEXVcniRz90PYGsJbpsp37-e5Ccnk-fIfHnRpDnfvVyU8dpb0oT-7_GB_707KRBo2zv9ACiWm6s</recordid><startdate>201601</startdate><enddate>201601</enddate><creator>Wiesinger, Florian</creator><creator>Sacolick, Laura I.</creator><creator>Menini, Anne</creator><creator>Kaushik, Sandeep S.</creator><creator>Ahn, Sangtae</creator><creator>Veit-Haibach, Patrick</creator><creator>Delso, Gaspar</creator><creator>Shanbhag, Dattesh D.</creator><general>Blackwell Publishing Ltd</general><general>Wiley Subscription Services, Inc</general><scope>BSCLL</scope><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>8FD</scope><scope>FR3</scope><scope>K9.</scope><scope>M7Z</scope><scope>P64</scope><scope>7X8</scope><scope>7QO</scope></search><sort><creationdate>201601</creationdate><title>Zero TE MR bone imaging in the head</title><author>Wiesinger, Florian ; Sacolick, Laura I. ; Menini, Anne ; Kaushik, Sandeep S. ; Ahn, Sangtae ; Veit-Haibach, Patrick ; Delso, Gaspar ; Shanbhag, Dattesh D.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4525-e79d8ded4047e13a73b743add74e1769bb8493e2b3d7e5e181c4d03711c169693</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2016</creationdate><topic>Algorithms</topic><topic>Attenuation</topic><topic>attenuation correction</topic><topic>Bias</topic><topic>bone</topic><topic>Bone imaging</topic><topic>Computed tomography</topic><topic>Correlation analysis</topic><topic>Density</topic><topic>Emission</topic><topic>Humans</topic><topic>Image Enhancement - methods</topic><topic>Image Interpretation, Computer-Assisted - methods</topic><topic>Image processing</topic><topic>Image segmentation</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Medical imaging</topic><topic>PET/MR</topic><topic>Positron emission</topic><topic>Positron emission tomography</topic><topic>Proton density (concentration)</topic><topic>Radiation</topic><topic>Radiation therapy</topic><topic>Reproducibility of Results</topic><topic>Robustness</topic><topic>RUFIS</topic><topic>Scaling</topic><topic>segmentation</topic><topic>Sensitivity and Specificity</topic><topic>Signal Processing, Computer-Assisted</topic><topic>Skull</topic><topic>Skull - anatomy &amp; histology</topic><topic>Tissues</topic><topic>UTE</topic><topic>zero TE</topic><topic>ZTE</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Wiesinger, Florian</creatorcontrib><creatorcontrib>Sacolick, Laura I.</creatorcontrib><creatorcontrib>Menini, Anne</creatorcontrib><creatorcontrib>Kaushik, Sandeep S.</creatorcontrib><creatorcontrib>Ahn, Sangtae</creatorcontrib><creatorcontrib>Veit-Haibach, Patrick</creatorcontrib><creatorcontrib>Delso, Gaspar</creatorcontrib><creatorcontrib>Shanbhag, Dattesh D.</creatorcontrib><collection>Istex</collection><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>ProQuest Health &amp; Medical Complete (Alumni)</collection><collection>Biochemistry Abstracts 1</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><collection>Biotechnology Research Abstracts</collection><jtitle>Magnetic resonance in medicine</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Wiesinger, Florian</au><au>Sacolick, Laura I.</au><au>Menini, Anne</au><au>Kaushik, Sandeep S.</au><au>Ahn, Sangtae</au><au>Veit-Haibach, Patrick</au><au>Delso, Gaspar</au><au>Shanbhag, Dattesh D.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Zero TE MR bone imaging in the head</atitle><jtitle>Magnetic resonance in medicine</jtitle><addtitle>Magn. 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Results PD‐weighted ZT imaging in combination with an inverse logarithmic scaling was found to provide excellent depiction of cranial bone structures. In combination with bias correction, also excellent segmentation results were achieved. A two‐dimensional histogram analysis demonstrates a strong, approximately linear correlation between inverse log‐scaled ZT and low‐dose CT for Hounsfield units (HU) between −300 HU and 1,500 HU (corresponding to soft‐tissue and bone). Conclusions PD‐weighted ZT imaging provides robust and efficient depiction of bone structures in the head, with an excellent contrast between air, soft‐tissue, and bone. Besides structural bone imaging, the presented method is expected to be of relevance for attenuation correction in positron emission tomography (PET)/MR and MR‐based radiation therapy planning. Magn Reson Med 75:107–114, 2016. © 2015 Wiley Periodicals, Inc.</abstract><cop>United States</cop><pub>Blackwell Publishing Ltd</pub><pmid>25639956</pmid><doi>10.1002/mrm.25545</doi><tpages>8</tpages></addata></record>
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subjects Algorithms
Attenuation
attenuation correction
Bias
bone
Bone imaging
Computed tomography
Correlation analysis
Density
Emission
Humans
Image Enhancement - methods
Image Interpretation, Computer-Assisted - methods
Image processing
Image segmentation
Imaging, Three-Dimensional - methods
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Medical imaging
PET/MR
Positron emission
Positron emission tomography
Proton density (concentration)
Radiation
Radiation therapy
Reproducibility of Results
Robustness
RUFIS
Scaling
segmentation
Sensitivity and Specificity
Signal Processing, Computer-Assisted
Skull
Skull - anatomy & histology
Tissues
UTE
zero TE
ZTE
title Zero TE MR bone imaging in the head
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