Additive manufacturing models of fetuses built from three‐dimensional ultrasound, magnetic resonance imaging and computed tomography scan data

Objective To generate physical fetal models using images obtained by three‐dimensional ultrasonography (3DUS), magnetic resonance imaging (MRI) and computed tomography (CT) to guide additive manufacturing technology. Methods Images from 33 fetuses, including three sets of twins, were used. Fifteen f...

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Veröffentlicht in:Ultrasound in obstetrics & gynecology 2010-09, Vol.36 (3), p.355-361
Hauptverfasser: Werner, H., dos Santos, J. R. L., Fontes, R., Daltro, P., Gasparetto, E., Marchiori, E., Campbell, S.
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container_end_page 361
container_issue 3
container_start_page 355
container_title Ultrasound in obstetrics & gynecology
container_volume 36
creator Werner, H.
dos Santos, J. R. L.
Fontes, R.
Daltro, P.
Gasparetto, E.
Marchiori, E.
Campbell, S.
description Objective To generate physical fetal models using images obtained by three‐dimensional ultrasonography (3DUS), magnetic resonance imaging (MRI) and computed tomography (CT) to guide additive manufacturing technology. Methods Images from 33 fetuses, including three sets of twins, were used. Fifteen fetuses were normal and evaluated only by 3DUS. Eighteen cases had abnormalities such as conjoined twins, tumors, aneuploidy, skeletal abnormalities, central nervous system abnormalities and facial or thoracic defects. Scans were performed using high‐resolution 3DUS. In cases of abnormalities, MRI and CT were performed on the same day as 3DUS. The images obtained with 3DUS, CT or MRI were exported to a workstation in DICOM format. A single observer performed slice‐by‐slice manual segmentation using a digital high‐definition screen. Software that converts medical images into numerical models was used to construct virtual 3D models, which were physically realized using additive manufacturing technologies. Results Physical models based on 3DUS, MRI and CT images either separately or combined were successfully generated. They were remarkably similar to the postnatal appearance of the aborted fetus or newborn baby, especially in cases with pathology. Conclusion The use of 3DUS, MRI and CT may improve our understanding of fetal anatomical characteristics, and these technologies can be used for educational purposes and as a method for parents to visualize their unborn baby. The images can be segmented and applied separately or combined to construct 3D virtual and physical models. Copyright © 2010 ISUOG. Published by John Wiley & Sons, Ltd.
doi_str_mv 10.1002/uog.7619
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R. L. ; Fontes, R. ; Daltro, P. ; Gasparetto, E. ; Marchiori, E. ; Campbell, S.</creator><creatorcontrib>Werner, H. ; dos Santos, J. R. L. ; Fontes, R. ; Daltro, P. ; Gasparetto, E. ; Marchiori, E. ; Campbell, S.</creatorcontrib><description>Objective To generate physical fetal models using images obtained by three‐dimensional ultrasonography (3DUS), magnetic resonance imaging (MRI) and computed tomography (CT) to guide additive manufacturing technology. Methods Images from 33 fetuses, including three sets of twins, were used. Fifteen fetuses were normal and evaluated only by 3DUS. Eighteen cases had abnormalities such as conjoined twins, tumors, aneuploidy, skeletal abnormalities, central nervous system abnormalities and facial or thoracic defects. Scans were performed using high‐resolution 3DUS. In cases of abnormalities, MRI and CT were performed on the same day as 3DUS. The images obtained with 3DUS, CT or MRI were exported to a workstation in DICOM format. A single observer performed slice‐by‐slice manual segmentation using a digital high‐definition screen. Software that converts medical images into numerical models was used to construct virtual 3D models, which were physically realized using additive manufacturing technologies. Results Physical models based on 3DUS, MRI and CT images either separately or combined were successfully generated. They were remarkably similar to the postnatal appearance of the aborted fetus or newborn baby, especially in cases with pathology. Conclusion The use of 3DUS, MRI and CT may improve our understanding of fetal anatomical characteristics, and these technologies can be used for educational purposes and as a method for parents to visualize their unborn baby. The images can be segmented and applied separately or combined to construct 3D virtual and physical models. Copyright © 2010 ISUOG. Published by John Wiley &amp; Sons, Ltd.</description><identifier>ISSN: 0960-7692</identifier><identifier>ISSN: 1469-0705</identifier><identifier>EISSN: 1469-0705</identifier><identifier>DOI: 10.1002/uog.7619</identifier><identifier>PMID: 20205157</identifier><language>eng</language><publisher>Chichester, UK: John Wiley &amp; Sons, Ltd</publisher><subject>additive manufacturing ; Aneuploidy ; Central nervous system ; Computed tomography ; Computer programs ; Data processing ; Female ; fetus ; Fetus - anatomy &amp; histology ; Fetuses ; Gynecology ; Humans ; Image processing ; Image Processing, Computer-Assisted - methods ; Imaging, Three-Dimensional - methods ; Magnetic resonance imaging ; Magnetic Resonance Imaging - methods ; Models, Anatomic ; Neonates ; Obstetrics ; Pregnancy ; Segmentation ; software ; Thorax ; Tomography, X-Ray Computed - methods ; Tumors ; Twins ; Ultrasonography ; Ultrasound</subject><ispartof>Ultrasound in obstetrics &amp; gynecology, 2010-09, Vol.36 (3), p.355-361</ispartof><rights>Copyright © 2010 ISUOG. 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R. L.</creatorcontrib><creatorcontrib>Fontes, R.</creatorcontrib><creatorcontrib>Daltro, P.</creatorcontrib><creatorcontrib>Gasparetto, E.</creatorcontrib><creatorcontrib>Marchiori, E.</creatorcontrib><creatorcontrib>Campbell, S.</creatorcontrib><title>Additive manufacturing models of fetuses built from three‐dimensional ultrasound, magnetic resonance imaging and computed tomography scan data</title><title>Ultrasound in obstetrics &amp; gynecology</title><addtitle>Ultrasound Obstet Gynecol</addtitle><description>Objective To generate physical fetal models using images obtained by three‐dimensional ultrasonography (3DUS), magnetic resonance imaging (MRI) and computed tomography (CT) to guide additive manufacturing technology. Methods Images from 33 fetuses, including three sets of twins, were used. Fifteen fetuses were normal and evaluated only by 3DUS. Eighteen cases had abnormalities such as conjoined twins, tumors, aneuploidy, skeletal abnormalities, central nervous system abnormalities and facial or thoracic defects. Scans were performed using high‐resolution 3DUS. In cases of abnormalities, MRI and CT were performed on the same day as 3DUS. The images obtained with 3DUS, CT or MRI were exported to a workstation in DICOM format. A single observer performed slice‐by‐slice manual segmentation using a digital high‐definition screen. Software that converts medical images into numerical models was used to construct virtual 3D models, which were physically realized using additive manufacturing technologies. Results Physical models based on 3DUS, MRI and CT images either separately or combined were successfully generated. They were remarkably similar to the postnatal appearance of the aborted fetus or newborn baby, especially in cases with pathology. Conclusion The use of 3DUS, MRI and CT may improve our understanding of fetal anatomical characteristics, and these technologies can be used for educational purposes and as a method for parents to visualize their unborn baby. The images can be segmented and applied separately or combined to construct 3D virtual and physical models. Copyright © 2010 ISUOG. Published by John Wiley &amp; Sons, Ltd.</description><subject>additive manufacturing</subject><subject>Aneuploidy</subject><subject>Central nervous system</subject><subject>Computed tomography</subject><subject>Computer programs</subject><subject>Data processing</subject><subject>Female</subject><subject>fetus</subject><subject>Fetus - anatomy &amp; histology</subject><subject>Fetuses</subject><subject>Gynecology</subject><subject>Humans</subject><subject>Image processing</subject><subject>Image Processing, Computer-Assisted - methods</subject><subject>Imaging, Three-Dimensional - methods</subject><subject>Magnetic resonance imaging</subject><subject>Magnetic Resonance Imaging - methods</subject><subject>Models, Anatomic</subject><subject>Neonates</subject><subject>Obstetrics</subject><subject>Pregnancy</subject><subject>Segmentation</subject><subject>software</subject><subject>Thorax</subject><subject>Tomography, X-Ray Computed - methods</subject><subject>Tumors</subject><subject>Twins</subject><subject>Ultrasonography</subject><subject>Ultrasound</subject><issn>0960-7692</issn><issn>1469-0705</issn><issn>1469-0705</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2010</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><recordid>eNp9kc1KHTEUgEOp1Kst9Akku7pwbH5mkpulSKuC4Kauh0xy5hqZSa75Ue6uj-Az-iTN9ae4aVcHzvn44PAh9JWSY0oI-17C6lgKqj6gBW2Faogk3Ue0IEqQRgrFdtFeSreEENFy8QntMsJIRzu5QI8n1rrs7gHP2pdRm1yi8ys8BwtTwmHEI-SSIOGhuCnjMYYZ55sI8PT70boZfHLB6wmXKUedQvH2qKpWHrIzOEKqR28Au7rberW32IR5XTJYnMMcVlGvbzY4Ge2x1Vl_RjujnhJ8eZ376Prnj1-n583l1dnF6cllY9qOq2ZYtsIopUZN9SDtspOtIMAEA2DAKVPGsPqtEiOVnA_AjaRSyK4lvNNLIHwffXvxrmO4K5ByP7tkYJq0h1BSv0VJ27W8kof_JSmhUokll-9QE0NKEcZ-HevncVOhfluqr6X6bamKHrxayzCD_Qu-palA8wI8uAk2_xT111dnz8I_zhigFg</recordid><startdate>201009</startdate><enddate>201009</enddate><creator>Werner, H.</creator><creator>dos Santos, J. R. L.</creator><creator>Fontes, R.</creator><creator>Daltro, P.</creator><creator>Gasparetto, E.</creator><creator>Marchiori, E.</creator><creator>Campbell, S.</creator><general>John Wiley &amp; Sons, Ltd</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>7QO</scope><scope>8FD</scope><scope>FR3</scope><scope>P64</scope><scope>7X8</scope></search><sort><creationdate>201009</creationdate><title>Additive manufacturing models of fetuses built from three‐dimensional ultrasound, magnetic resonance imaging and computed tomography scan data</title><author>Werner, H. ; dos Santos, J. R. L. ; Fontes, R. ; Daltro, P. ; Gasparetto, E. ; Marchiori, E. ; Campbell, S.</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c4539-b846c999fa1ab7d857460e262ee2e3129cc206496f1733be3c7176754035a8e03</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2010</creationdate><topic>additive manufacturing</topic><topic>Aneuploidy</topic><topic>Central nervous system</topic><topic>Computed tomography</topic><topic>Computer programs</topic><topic>Data processing</topic><topic>Female</topic><topic>fetus</topic><topic>Fetus - anatomy &amp; histology</topic><topic>Fetuses</topic><topic>Gynecology</topic><topic>Humans</topic><topic>Image processing</topic><topic>Image Processing, Computer-Assisted - methods</topic><topic>Imaging, Three-Dimensional - methods</topic><topic>Magnetic resonance imaging</topic><topic>Magnetic Resonance Imaging - methods</topic><topic>Models, Anatomic</topic><topic>Neonates</topic><topic>Obstetrics</topic><topic>Pregnancy</topic><topic>Segmentation</topic><topic>software</topic><topic>Thorax</topic><topic>Tomography, X-Ray Computed - methods</topic><topic>Tumors</topic><topic>Twins</topic><topic>Ultrasonography</topic><topic>Ultrasound</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Werner, H.</creatorcontrib><creatorcontrib>dos Santos, J. R. L.</creatorcontrib><creatorcontrib>Fontes, R.</creatorcontrib><creatorcontrib>Daltro, P.</creatorcontrib><creatorcontrib>Gasparetto, E.</creatorcontrib><creatorcontrib>Marchiori, E.</creatorcontrib><creatorcontrib>Campbell, S.</creatorcontrib><collection>Medline</collection><collection>MEDLINE</collection><collection>MEDLINE (Ovid)</collection><collection>MEDLINE</collection><collection>MEDLINE</collection><collection>PubMed</collection><collection>CrossRef</collection><collection>Biotechnology Research Abstracts</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>MEDLINE - Academic</collection><jtitle>Ultrasound in obstetrics &amp; gynecology</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Werner, H.</au><au>dos Santos, J. R. L.</au><au>Fontes, R.</au><au>Daltro, P.</au><au>Gasparetto, E.</au><au>Marchiori, E.</au><au>Campbell, S.</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Additive manufacturing models of fetuses built from three‐dimensional ultrasound, magnetic resonance imaging and computed tomography scan data</atitle><jtitle>Ultrasound in obstetrics &amp; gynecology</jtitle><addtitle>Ultrasound Obstet Gynecol</addtitle><date>2010-09</date><risdate>2010</risdate><volume>36</volume><issue>3</issue><spage>355</spage><epage>361</epage><pages>355-361</pages><issn>0960-7692</issn><issn>1469-0705</issn><eissn>1469-0705</eissn><abstract>Objective To generate physical fetal models using images obtained by three‐dimensional ultrasonography (3DUS), magnetic resonance imaging (MRI) and computed tomography (CT) to guide additive manufacturing technology. Methods Images from 33 fetuses, including three sets of twins, were used. Fifteen fetuses were normal and evaluated only by 3DUS. Eighteen cases had abnormalities such as conjoined twins, tumors, aneuploidy, skeletal abnormalities, central nervous system abnormalities and facial or thoracic defects. Scans were performed using high‐resolution 3DUS. In cases of abnormalities, MRI and CT were performed on the same day as 3DUS. The images obtained with 3DUS, CT or MRI were exported to a workstation in DICOM format. A single observer performed slice‐by‐slice manual segmentation using a digital high‐definition screen. Software that converts medical images into numerical models was used to construct virtual 3D models, which were physically realized using additive manufacturing technologies. Results Physical models based on 3DUS, MRI and CT images either separately or combined were successfully generated. They were remarkably similar to the postnatal appearance of the aborted fetus or newborn baby, especially in cases with pathology. Conclusion The use of 3DUS, MRI and CT may improve our understanding of fetal anatomical characteristics, and these technologies can be used for educational purposes and as a method for parents to visualize their unborn baby. The images can be segmented and applied separately or combined to construct 3D virtual and physical models. Copyright © 2010 ISUOG. Published by John Wiley &amp; Sons, Ltd.</abstract><cop>Chichester, UK</cop><pub>John Wiley &amp; Sons, Ltd</pub><pmid>20205157</pmid><doi>10.1002/uog.7619</doi><tpages>7</tpages><oa>free_for_read</oa></addata></record>
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source MEDLINE; Wiley Journals; Elektronische Zeitschriftenbibliothek - Frei zugängliche E-Journals; Wiley Free Content
subjects additive manufacturing
Aneuploidy
Central nervous system
Computed tomography
Computer programs
Data processing
Female
fetus
Fetus - anatomy & histology
Fetuses
Gynecology
Humans
Image processing
Image Processing, Computer-Assisted - methods
Imaging, Three-Dimensional - methods
Magnetic resonance imaging
Magnetic Resonance Imaging - methods
Models, Anatomic
Neonates
Obstetrics
Pregnancy
Segmentation
software
Thorax
Tomography, X-Ray Computed - methods
Tumors
Twins
Ultrasonography
Ultrasound
title Additive manufacturing models of fetuses built from three‐dimensional ultrasound, magnetic resonance imaging and computed tomography scan data
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