Novel Visualization Tool for Percutaneous Renal Puncture Training Using Augmented Reality Technology
We aim to develop a novel visualization tool for percutaneous renal puncture training based on augmented reality (AR) and compare the needle placement performance of this AR system with ultrasound-guided freehand navigation in phantoms. A head-mounted display-based AR navigation system was developed...
Gespeichert in:
| Veröffentlicht in: | Shanghai jiao tong da xue xue bao 2023-08, Vol.28 (4), p.517-525 |
|---|---|
| Hauptverfasser: | , , , , , , |
| Format: | Artikel |
| Sprache: | eng |
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Tags: |
Tag hinzufügen
Keine Tags, Fügen Sie den ersten Tag hinzu!
|
| container_end_page | 525 |
|---|---|
| container_issue | 4 |
| container_start_page | 517 |
| container_title | Shanghai jiao tong da xue xue bao |
| container_volume | 28 |
| creator | Yu, Jiaqi Wang, Shuyi Wang, Yuqi Xie, Hua Wu, Zhanglei Fu, Xiaoni Ma, Bangfeng |
| description | We aim to develop a novel visualization tool for percutaneous renal puncture training based on augmented reality (AR) and compare the needle placement performance of this AR system with ultrasound-guided freehand navigation in phantoms. A head-mounted display-based AR navigation system was developed using the Unity3D software and Visual Studio to enable the overlay of the preoperative needle path and the complex anatomical structures onto a phantom in real time. The spatial location of the stationary phantom and the percutaneous instrument motion were traced by a Qualisys motion capture system. To evaluate the tracking accuracy, 15 participants (7 males and 8 females) performed a single needle insertion using AR navigation (the number of punctures
n
= 75) and ultrasound-guided freehand navigation (
n
= 75). The needle placement error was measured as the Euclidean distance between the actual needle tip and the virtual target by MicronTracker. All participants demonstrated a superior needle insertion efficiency when using the AR-assisted puncture method compared with the ultrasound-guided freehand method. The needle insertion error of the ultrasound-guided method showed an increased error compared with the AR method (5.54mm ± 2.59mm, 4.34mm ± 2.10mm, respectively,
p
< 0.05). The ultrasound-guided needle placements showed an increased time compared with the AR method (19.08 s ± 3.59 s, 15.14 s ± 2.72 s, respectively,
p
< 0.0001). Our AR training system facilitates the needle placement performance and solves hand-eye coordination problems. The system has the potential to increase efficiency and effectiveness of percutaneous renal puncture training. |
| doi_str_mv | 10.1007/s12204-022-2554-y |
| format | Article |
| fullrecord | <record><control><sourceid>wanfang_jour_proqu</sourceid><recordid>TN_cdi_wanfang_journals_shjtdxxb_e202304013</recordid><sourceformat>XML</sourceformat><sourcesystem>PC</sourcesystem><wanfj_id>shjtdxxb_e202304013</wanfj_id><sourcerecordid>shjtdxxb_e202304013</sourcerecordid><originalsourceid>FETCH-LOGICAL-c2473-297011d5f08d85cc177c52a5b5450445bc4d4944d0b9339570054a5f068527373</originalsourceid><addsrcrecordid>eNqFkU1LxDAQhosouH78AG8Bj1KdpMkmPcriF4iKrF5DNk27XbrJmjRq_fVmqeBJvMzM4XlfZubNshMM5xiAXwRMCNAcCMkJYzQfdrIJLkuWCyzEbpoTlGPMyX52EMIKgEJRlJOsenDvpkOvbYiqa79U3zqL5s51qHYePRmvY6-scTGgZ2NVh56i1X30Bs29am1rG_QStvUyNmtje1MlLjn1A5obvbSuc81wlO3Vqgvm-KcfZi_XV_PZbX7_eHM3u7zPNaG8yEnJAeOK1SAqwbTGnGtGFFswyoBSttC0oiWlFSzKtDzjAIyqhE8FI7zgxWF2Nvp-KFsr28iViz4tHWRYrvrq83MhDQFSpONxkejTkd549xZN6H9xIigVDISg_1F4WnIqEoVHSnsXgje13Ph2rfwgMcjt7-UYkEwByW1AckgaMmpCYm1j_K_z36JvseORxw</addsrcrecordid><sourcetype>Aggregation Database</sourcetype><iscdi>true</iscdi><recordtype>article</recordtype><pqid>2844169748</pqid></control><display><type>article</type><title>Novel Visualization Tool for Percutaneous Renal Puncture Training Using Augmented Reality Technology</title><source>Springer Nature - Complete Springer Journals</source><source>DOAJ Directory of Open Access Journals</source><creator>Yu, Jiaqi ; Wang, Shuyi ; Wang, Yuqi ; Xie, Hua ; Wu, Zhanglei ; Fu, Xiaoni ; Ma, Bangfeng</creator><creatorcontrib>Yu, Jiaqi ; Wang, Shuyi ; Wang, Yuqi ; Xie, Hua ; Wu, Zhanglei ; Fu, Xiaoni ; Ma, Bangfeng</creatorcontrib><description>We aim to develop a novel visualization tool for percutaneous renal puncture training based on augmented reality (AR) and compare the needle placement performance of this AR system with ultrasound-guided freehand navigation in phantoms. A head-mounted display-based AR navigation system was developed using the Unity3D software and Visual Studio to enable the overlay of the preoperative needle path and the complex anatomical structures onto a phantom in real time. The spatial location of the stationary phantom and the percutaneous instrument motion were traced by a Qualisys motion capture system. To evaluate the tracking accuracy, 15 participants (7 males and 8 females) performed a single needle insertion using AR navigation (the number of punctures
n
= 75) and ultrasound-guided freehand navigation (
n
= 75). The needle placement error was measured as the Euclidean distance between the actual needle tip and the virtual target by MicronTracker. All participants demonstrated a superior needle insertion efficiency when using the AR-assisted puncture method compared with the ultrasound-guided freehand method. The needle insertion error of the ultrasound-guided method showed an increased error compared with the AR method (5.54mm ± 2.59mm, 4.34mm ± 2.10mm, respectively,
p
< 0.05). The ultrasound-guided needle placements showed an increased time compared with the AR method (19.08 s ± 3.59 s, 15.14 s ± 2.72 s, respectively,
p
< 0.0001). Our AR training system facilitates the needle placement performance and solves hand-eye coordination problems. The system has the potential to increase efficiency and effectiveness of percutaneous renal puncture training.</description><identifier>ISSN: 1007-1172</identifier><identifier>ISSN: 1674-8115</identifier><identifier>EISSN: 1995-8188</identifier><identifier>DOI: 10.1007/s12204-022-2554-y</identifier><language>eng</language><publisher>Shanghai: Shanghai Jiaotong University Press</publisher><subject>Architecture ; Augmented reality ; Computer Science ; Electrical Engineering ; Engineering ; Error analysis ; Euclidean geometry ; Hand eye coordination ; Helmet mounted displays ; Insertion ; Kidneys ; Life Sciences ; Materials Science ; Motion capture ; Navigation systems ; Original Paper ; Placement ; Training ; Ultrasonic imaging ; Ultrasonic testing ; Ultrasound ; Visual programming languages ; Visualization</subject><ispartof>Shanghai jiao tong da xue xue bao, 2023-08, Vol.28 (4), p.517-525</ispartof><rights>Shanghai Jiao Tong University 2022</rights><rights>Shanghai Jiao Tong University 2022.</rights><rights>Copyright Shanghai Jiaotong University Press Aug 2023</rights><rights>Copyright © Wanfang Data Co. Ltd. All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><cites>FETCH-LOGICAL-c2473-297011d5f08d85cc177c52a5b5450445bc4d4944d0b9339570054a5f068527373</cites></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Uhttp://www.wanfangdata.com.cn/images/PeriodicalImages/shjtdxxb-e/shjtdxxb-e.jpg</thumbnail><linktopdf>$$Uhttps://link.springer.com/content/pdf/10.1007/s12204-022-2554-y$$EPDF$$P50$$Gspringer$$H</linktopdf><linktohtml>$$Uhttps://link.springer.com/10.1007/s12204-022-2554-y$$EHTML$$P50$$Gspringer$$H</linktohtml><link.rule.ids>314,776,780,860,27901,27902,41464,42533,51294</link.rule.ids></links><search><creatorcontrib>Yu, Jiaqi</creatorcontrib><creatorcontrib>Wang, Shuyi</creatorcontrib><creatorcontrib>Wang, Yuqi</creatorcontrib><creatorcontrib>Xie, Hua</creatorcontrib><creatorcontrib>Wu, Zhanglei</creatorcontrib><creatorcontrib>Fu, Xiaoni</creatorcontrib><creatorcontrib>Ma, Bangfeng</creatorcontrib><title>Novel Visualization Tool for Percutaneous Renal Puncture Training Using Augmented Reality Technology</title><title>Shanghai jiao tong da xue xue bao</title><addtitle>J. Shanghai Jiaotong Univ. (Sci.)</addtitle><description>We aim to develop a novel visualization tool for percutaneous renal puncture training based on augmented reality (AR) and compare the needle placement performance of this AR system with ultrasound-guided freehand navigation in phantoms. A head-mounted display-based AR navigation system was developed using the Unity3D software and Visual Studio to enable the overlay of the preoperative needle path and the complex anatomical structures onto a phantom in real time. The spatial location of the stationary phantom and the percutaneous instrument motion were traced by a Qualisys motion capture system. To evaluate the tracking accuracy, 15 participants (7 males and 8 females) performed a single needle insertion using AR navigation (the number of punctures
n
= 75) and ultrasound-guided freehand navigation (
n
= 75). The needle placement error was measured as the Euclidean distance between the actual needle tip and the virtual target by MicronTracker. All participants demonstrated a superior needle insertion efficiency when using the AR-assisted puncture method compared with the ultrasound-guided freehand method. The needle insertion error of the ultrasound-guided method showed an increased error compared with the AR method (5.54mm ± 2.59mm, 4.34mm ± 2.10mm, respectively,
p
< 0.05). The ultrasound-guided needle placements showed an increased time compared with the AR method (19.08 s ± 3.59 s, 15.14 s ± 2.72 s, respectively,
p
< 0.0001). Our AR training system facilitates the needle placement performance and solves hand-eye coordination problems. The system has the potential to increase efficiency and effectiveness of percutaneous renal puncture training.</description><subject>Architecture</subject><subject>Augmented reality</subject><subject>Computer Science</subject><subject>Electrical Engineering</subject><subject>Engineering</subject><subject>Error analysis</subject><subject>Euclidean geometry</subject><subject>Hand eye coordination</subject><subject>Helmet mounted displays</subject><subject>Insertion</subject><subject>Kidneys</subject><subject>Life Sciences</subject><subject>Materials Science</subject><subject>Motion capture</subject><subject>Navigation systems</subject><subject>Original Paper</subject><subject>Placement</subject><subject>Training</subject><subject>Ultrasonic imaging</subject><subject>Ultrasonic testing</subject><subject>Ultrasound</subject><subject>Visual programming languages</subject><subject>Visualization</subject><issn>1007-1172</issn><issn>1674-8115</issn><issn>1995-8188</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2023</creationdate><recordtype>article</recordtype><recordid>eNqFkU1LxDAQhosouH78AG8Bj1KdpMkmPcriF4iKrF5DNk27XbrJmjRq_fVmqeBJvMzM4XlfZubNshMM5xiAXwRMCNAcCMkJYzQfdrIJLkuWCyzEbpoTlGPMyX52EMIKgEJRlJOsenDvpkOvbYiqa79U3zqL5s51qHYePRmvY6-scTGgZ2NVh56i1X30Bs29am1rG_QStvUyNmtje1MlLjn1A5obvbSuc81wlO3Vqgvm-KcfZi_XV_PZbX7_eHM3u7zPNaG8yEnJAeOK1SAqwbTGnGtGFFswyoBSttC0oiWlFSzKtDzjAIyqhE8FI7zgxWF2Nvp-KFsr28iViz4tHWRYrvrq83MhDQFSpONxkejTkd549xZN6H9xIigVDISg_1F4WnIqEoVHSnsXgje13Ph2rfwgMcjt7-UYkEwByW1AckgaMmpCYm1j_K_z36JvseORxw</recordid><startdate>20230801</startdate><enddate>20230801</enddate><creator>Yu, Jiaqi</creator><creator>Wang, Shuyi</creator><creator>Wang, Yuqi</creator><creator>Xie, Hua</creator><creator>Wu, Zhanglei</creator><creator>Fu, Xiaoni</creator><creator>Ma, Bangfeng</creator><general>Shanghai Jiaotong University Press</general><general>Springer Nature B.V</general><general>School of Medical Instrument and Food Engineering,University of Shanghai for Science and Technology,Shanghai 200093,China%Department of Urology,Shanghai Children's Hospital,Shanghai Jiao Tong University School of Medicine,Shanghai 200062,China</general><scope>AAYXX</scope><scope>CITATION</scope><scope>7SC</scope><scope>7SP</scope><scope>7SR</scope><scope>7TB</scope><scope>7U5</scope><scope>8BQ</scope><scope>8FD</scope><scope>FR3</scope><scope>JG9</scope><scope>JQ2</scope><scope>KR7</scope><scope>L7M</scope><scope>L~C</scope><scope>L~D</scope><scope>7QL</scope><scope>7QO</scope><scope>7QP</scope><scope>7T5</scope><scope>7TK</scope><scope>7TM</scope><scope>7TO</scope><scope>7U9</scope><scope>C1K</scope><scope>H94</scope><scope>M7N</scope><scope>P64</scope><scope>RC3</scope><scope>2B.</scope><scope>4A8</scope><scope>92I</scope><scope>93N</scope><scope>PSX</scope><scope>TCJ</scope></search><sort><creationdate>20230801</creationdate><title>Novel Visualization Tool for Percutaneous Renal Puncture Training Using Augmented Reality Technology</title><author>Yu, Jiaqi ; Wang, Shuyi ; Wang, Yuqi ; Xie, Hua ; Wu, Zhanglei ; Fu, Xiaoni ; Ma, Bangfeng</author></sort><facets><frbrtype>5</frbrtype><frbrgroupid>cdi_FETCH-LOGICAL-c2473-297011d5f08d85cc177c52a5b5450445bc4d4944d0b9339570054a5f068527373</frbrgroupid><rsrctype>articles</rsrctype><prefilter>articles</prefilter><language>eng</language><creationdate>2023</creationdate><topic>Architecture</topic><topic>Augmented reality</topic><topic>Computer Science</topic><topic>Electrical Engineering</topic><topic>Engineering</topic><topic>Error analysis</topic><topic>Euclidean geometry</topic><topic>Hand eye coordination</topic><topic>Helmet mounted displays</topic><topic>Insertion</topic><topic>Kidneys</topic><topic>Life Sciences</topic><topic>Materials Science</topic><topic>Motion capture</topic><topic>Navigation systems</topic><topic>Original Paper</topic><topic>Placement</topic><topic>Training</topic><topic>Ultrasonic imaging</topic><topic>Ultrasonic testing</topic><topic>Ultrasound</topic><topic>Visual programming languages</topic><topic>Visualization</topic><toplevel>peer_reviewed</toplevel><toplevel>online_resources</toplevel><creatorcontrib>Yu, Jiaqi</creatorcontrib><creatorcontrib>Wang, Shuyi</creatorcontrib><creatorcontrib>Wang, Yuqi</creatorcontrib><creatorcontrib>Xie, Hua</creatorcontrib><creatorcontrib>Wu, Zhanglei</creatorcontrib><creatorcontrib>Fu, Xiaoni</creatorcontrib><creatorcontrib>Ma, Bangfeng</creatorcontrib><collection>CrossRef</collection><collection>Computer and Information Systems Abstracts</collection><collection>Electronics & Communications Abstracts</collection><collection>Engineered Materials Abstracts</collection><collection>Mechanical & Transportation Engineering Abstracts</collection><collection>Solid State and Superconductivity Abstracts</collection><collection>METADEX</collection><collection>Technology Research Database</collection><collection>Engineering Research Database</collection><collection>Materials Research Database</collection><collection>ProQuest Computer Science Collection</collection><collection>Civil Engineering Abstracts</collection><collection>Advanced Technologies Database with Aerospace</collection><collection>Computer and Information Systems Abstracts Academic</collection><collection>Computer and Information Systems Abstracts Professional</collection><collection>Bacteriology Abstracts (Microbiology B)</collection><collection>Biotechnology Research Abstracts</collection><collection>Calcium & Calcified Tissue Abstracts</collection><collection>Immunology Abstracts</collection><collection>Neurosciences Abstracts</collection><collection>Nucleic Acids Abstracts</collection><collection>Oncogenes and Growth Factors Abstracts</collection><collection>Virology and AIDS Abstracts</collection><collection>Environmental Sciences and Pollution Management</collection><collection>AIDS and Cancer Research Abstracts</collection><collection>Algology Mycology and Protozoology Abstracts (Microbiology C)</collection><collection>Biotechnology and BioEngineering Abstracts</collection><collection>Genetics Abstracts</collection><collection>Wanfang Data Journals - Hong Kong</collection><collection>WANFANG Data Centre</collection><collection>Wanfang Data Journals</collection><collection>万方数据期刊 - 香港版</collection><collection>China Online Journals (COJ)</collection><collection>China Online Journals (COJ)</collection><jtitle>Shanghai jiao tong da xue xue bao</jtitle></facets><delivery><delcategory>Remote Search Resource</delcategory><fulltext>fulltext</fulltext></delivery><addata><au>Yu, Jiaqi</au><au>Wang, Shuyi</au><au>Wang, Yuqi</au><au>Xie, Hua</au><au>Wu, Zhanglei</au><au>Fu, Xiaoni</au><au>Ma, Bangfeng</au><format>journal</format><genre>article</genre><ristype>JOUR</ristype><atitle>Novel Visualization Tool for Percutaneous Renal Puncture Training Using Augmented Reality Technology</atitle><jtitle>Shanghai jiao tong da xue xue bao</jtitle><stitle>J. Shanghai Jiaotong Univ. (Sci.)</stitle><date>2023-08-01</date><risdate>2023</risdate><volume>28</volume><issue>4</issue><spage>517</spage><epage>525</epage><pages>517-525</pages><issn>1007-1172</issn><issn>1674-8115</issn><eissn>1995-8188</eissn><abstract>We aim to develop a novel visualization tool for percutaneous renal puncture training based on augmented reality (AR) and compare the needle placement performance of this AR system with ultrasound-guided freehand navigation in phantoms. A head-mounted display-based AR navigation system was developed using the Unity3D software and Visual Studio to enable the overlay of the preoperative needle path and the complex anatomical structures onto a phantom in real time. The spatial location of the stationary phantom and the percutaneous instrument motion were traced by a Qualisys motion capture system. To evaluate the tracking accuracy, 15 participants (7 males and 8 females) performed a single needle insertion using AR navigation (the number of punctures
n
= 75) and ultrasound-guided freehand navigation (
n
= 75). The needle placement error was measured as the Euclidean distance between the actual needle tip and the virtual target by MicronTracker. All participants demonstrated a superior needle insertion efficiency when using the AR-assisted puncture method compared with the ultrasound-guided freehand method. The needle insertion error of the ultrasound-guided method showed an increased error compared with the AR method (5.54mm ± 2.59mm, 4.34mm ± 2.10mm, respectively,
p
< 0.05). The ultrasound-guided needle placements showed an increased time compared with the AR method (19.08 s ± 3.59 s, 15.14 s ± 2.72 s, respectively,
p
< 0.0001). Our AR training system facilitates the needle placement performance and solves hand-eye coordination problems. The system has the potential to increase efficiency and effectiveness of percutaneous renal puncture training.</abstract><cop>Shanghai</cop><pub>Shanghai Jiaotong University Press</pub><doi>10.1007/s12204-022-2554-y</doi><tpages>9</tpages></addata></record> |
| fulltext | fulltext |
| identifier | ISSN: 1007-1172 |
| ispartof | Shanghai jiao tong da xue xue bao, 2023-08, Vol.28 (4), p.517-525 |
| issn | 1007-1172 1674-8115 1995-8188 |
| language | eng |
| recordid | cdi_wanfang_journals_shjtdxxb_e202304013 |
| source | Springer Nature - Complete Springer Journals; DOAJ Directory of Open Access Journals |
| subjects | Architecture Augmented reality Computer Science Electrical Engineering Engineering Error analysis Euclidean geometry Hand eye coordination Helmet mounted displays Insertion Kidneys Life Sciences Materials Science Motion capture Navigation systems Original Paper Placement Training Ultrasonic imaging Ultrasonic testing Ultrasound Visual programming languages Visualization |
| title | Novel Visualization Tool for Percutaneous Renal Puncture Training Using Augmented Reality Technology |
| url | https://sfx.bib-bvb.de/sfx_tum?ctx_ver=Z39.88-2004&ctx_enc=info:ofi/enc:UTF-8&ctx_tim=2025-02-12T22%3A04%3A59IST&url_ver=Z39.88-2004&url_ctx_fmt=infofi/fmt:kev:mtx:ctx&rfr_id=info:sid/primo.exlibrisgroup.com:primo3-Article-wanfang_jour_proqu&rft_val_fmt=info:ofi/fmt:kev:mtx:journal&rft.genre=article&rft.atitle=Novel%20Visualization%20Tool%20for%20Percutaneous%20Renal%20Puncture%20Training%20Using%20Augmented%20Reality%20Technology&rft.jtitle=Shanghai%20jiao%20tong%20da%20xue%20xue%20bao&rft.au=Yu,%20Jiaqi&rft.date=2023-08-01&rft.volume=28&rft.issue=4&rft.spage=517&rft.epage=525&rft.pages=517-525&rft.issn=1007-1172&rft.eissn=1995-8188&rft_id=info:doi/10.1007/s12204-022-2554-y&rft_dat=%3Cwanfang_jour_proqu%3Eshjtdxxb_e202304013%3C/wanfang_jour_proqu%3E%3Curl%3E%3C/url%3E&disable_directlink=true&sfx.directlink=off&sfx.report_link=0&rft_id=info:oai/&rft_pqid=2844169748&rft_id=info:pmid/&rft_wanfj_id=shjtdxxb_e202304013&rfr_iscdi=true |