RETRACTED ARTICLE: DVT: a recent review and a taxonomy for oral and maxillofacial visualization and tracking based augmented reality: image guided surgery
Abstract Augmented reality (AR) navigation system is increasingly being integrated into Image Guided Surgery systems. The use of AR registration and tracking system in operating rooms (OR) for oral and maxillofacial surgery (OMS) can result in reducing medical errors and decreasing total operation t...
Ausführliche Beschreibung
Autor*in: |
Alsadoon, Abeer [verfasserIn] |
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E-Artikel |
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Englisch |
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2023 |
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Anmerkung: |
© The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. corrected publication 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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Übergeordnetes Werk: |
Enthalten in: Multimedia tools and applications - Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995, 83(2023), 1 vom: 22. Mai, Seite 685-729 |
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Übergeordnetes Werk: |
volume:83 ; year:2023 ; number:1 ; day:22 ; month:05 ; pages:685-729 |
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DOI / URN: |
10.1007/s11042-023-15581-w |
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SPR054224462 |
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520 | |a Abstract Augmented reality (AR) navigation system is increasingly being integrated into Image Guided Surgery systems. The use of AR registration and tracking system in operating rooms (OR) for oral and maxillofacial surgery (OMS) can result in reducing medical errors and decreasing total operation times. As such, AR systems are assisting to reduce some of the surgical complexities associated with OMS, making it easier for the surgeons to view the operation. Although AR systems has been implemented in OR for many years, there are still several factors that are less than optimal and can cause complications, such as inadequate system accuracy, poor image and video quality, high operating time and cost, and significant complexity of the system required to achieve accurate views of the surgical target of OMS. The aim of this research is to improve the use of AR in OMS using the proposed review taxonomy which incorporated Data, Visualization, and Tracking (DVT). DVT taxonomy defines the major components that are required to implement in an AR navigation system. Those components are validated and evaluated considering the clear and accurate output or view during craniofacial surgery for the end user. The proposed DVT taxonomy have been considered comparison of system, completeness of system and acceptance of the system as the major criteria. DVT is evaluated and validated our DTV taxonomy by analysing and classifying the 33 state of art publications which work in the AR navigation. This work presents a review over navigational approach towards surgery through AR which highlights the features and usefulness of AR compared to the existing surgical process in terms of processing time, accuracy, efficiency, and feasibility in surgery. | ||
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650 | 4 | |a Oral and maxillofacial surgery (OMS) |7 (dpeaa)DE-He213 | |
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700 | 1 | |a Gosper, Jeffrey J. |4 aut | |
700 | 1 | |a Prasad, P. W. C. |4 aut | |
700 | 1 | |a Haddad, Sami |4 aut | |
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10.1007/s11042-023-15581-w doi (DE-627)SPR054224462 (SPR)s11042-023-15581-w-e DE-627 ger DE-627 rakwb eng Alsadoon, Abeer verfasserin (orcid)0000-0002-2309-3540 aut RETRACTED ARTICLE: DVT: a recent review and a taxonomy for oral and maxillofacial visualization and tracking based augmented reality: image guided surgery 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. corrected publication 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Augmented reality (AR) navigation system is increasingly being integrated into Image Guided Surgery systems. The use of AR registration and tracking system in operating rooms (OR) for oral and maxillofacial surgery (OMS) can result in reducing medical errors and decreasing total operation times. As such, AR systems are assisting to reduce some of the surgical complexities associated with OMS, making it easier for the surgeons to view the operation. Although AR systems has been implemented in OR for many years, there are still several factors that are less than optimal and can cause complications, such as inadequate system accuracy, poor image and video quality, high operating time and cost, and significant complexity of the system required to achieve accurate views of the surgical target of OMS. The aim of this research is to improve the use of AR in OMS using the proposed review taxonomy which incorporated Data, Visualization, and Tracking (DVT). DVT taxonomy defines the major components that are required to implement in an AR navigation system. Those components are validated and evaluated considering the clear and accurate output or view during craniofacial surgery for the end user. The proposed DVT taxonomy have been considered comparison of system, completeness of system and acceptance of the system as the major criteria. DVT is evaluated and validated our DTV taxonomy by analysing and classifying the 33 state of art publications which work in the AR navigation. This work presents a review over navigational approach towards surgery through AR which highlights the features and usefulness of AR compared to the existing surgical process in terms of processing time, accuracy, efficiency, and feasibility in surgery. Augmented reality (AR) (dpeaa)DE-He213 Oral and maxillofacial surgery (OMS) (dpeaa)DE-He213 3D image (dpeaa)DE-He213 Classification (dpeaa)DE-He213 DDVT (dpeaa)DE-He213 Visualization (dpeaa)DE-He213 Tracking (dpeaa)DE-He213 AlSallami, Nada aut Rashid, Tarik A. aut Gosper, Jeffrey J. aut Prasad, P. W. C. aut Haddad, Sami aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 83(2023), 1 vom: 22. Mai, Seite 685-729 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:83 year:2023 number:1 day:22 month:05 pages:685-729 https://dx.doi.org/10.1007/s11042-023-15581-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 83 2023 1 22 05 685-729 |
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10.1007/s11042-023-15581-w doi (DE-627)SPR054224462 (SPR)s11042-023-15581-w-e DE-627 ger DE-627 rakwb eng Alsadoon, Abeer verfasserin (orcid)0000-0002-2309-3540 aut RETRACTED ARTICLE: DVT: a recent review and a taxonomy for oral and maxillofacial visualization and tracking based augmented reality: image guided surgery 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. corrected publication 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Augmented reality (AR) navigation system is increasingly being integrated into Image Guided Surgery systems. The use of AR registration and tracking system in operating rooms (OR) for oral and maxillofacial surgery (OMS) can result in reducing medical errors and decreasing total operation times. As such, AR systems are assisting to reduce some of the surgical complexities associated with OMS, making it easier for the surgeons to view the operation. Although AR systems has been implemented in OR for many years, there are still several factors that are less than optimal and can cause complications, such as inadequate system accuracy, poor image and video quality, high operating time and cost, and significant complexity of the system required to achieve accurate views of the surgical target of OMS. The aim of this research is to improve the use of AR in OMS using the proposed review taxonomy which incorporated Data, Visualization, and Tracking (DVT). DVT taxonomy defines the major components that are required to implement in an AR navigation system. Those components are validated and evaluated considering the clear and accurate output or view during craniofacial surgery for the end user. The proposed DVT taxonomy have been considered comparison of system, completeness of system and acceptance of the system as the major criteria. DVT is evaluated and validated our DTV taxonomy by analysing and classifying the 33 state of art publications which work in the AR navigation. This work presents a review over navigational approach towards surgery through AR which highlights the features and usefulness of AR compared to the existing surgical process in terms of processing time, accuracy, efficiency, and feasibility in surgery. Augmented reality (AR) (dpeaa)DE-He213 Oral and maxillofacial surgery (OMS) (dpeaa)DE-He213 3D image (dpeaa)DE-He213 Classification (dpeaa)DE-He213 DDVT (dpeaa)DE-He213 Visualization (dpeaa)DE-He213 Tracking (dpeaa)DE-He213 AlSallami, Nada aut Rashid, Tarik A. aut Gosper, Jeffrey J. aut Prasad, P. W. C. aut Haddad, Sami aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 83(2023), 1 vom: 22. Mai, Seite 685-729 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:83 year:2023 number:1 day:22 month:05 pages:685-729 https://dx.doi.org/10.1007/s11042-023-15581-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 83 2023 1 22 05 685-729 |
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10.1007/s11042-023-15581-w doi (DE-627)SPR054224462 (SPR)s11042-023-15581-w-e DE-627 ger DE-627 rakwb eng Alsadoon, Abeer verfasserin (orcid)0000-0002-2309-3540 aut RETRACTED ARTICLE: DVT: a recent review and a taxonomy for oral and maxillofacial visualization and tracking based augmented reality: image guided surgery 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. corrected publication 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Augmented reality (AR) navigation system is increasingly being integrated into Image Guided Surgery systems. The use of AR registration and tracking system in operating rooms (OR) for oral and maxillofacial surgery (OMS) can result in reducing medical errors and decreasing total operation times. As such, AR systems are assisting to reduce some of the surgical complexities associated with OMS, making it easier for the surgeons to view the operation. Although AR systems has been implemented in OR for many years, there are still several factors that are less than optimal and can cause complications, such as inadequate system accuracy, poor image and video quality, high operating time and cost, and significant complexity of the system required to achieve accurate views of the surgical target of OMS. The aim of this research is to improve the use of AR in OMS using the proposed review taxonomy which incorporated Data, Visualization, and Tracking (DVT). DVT taxonomy defines the major components that are required to implement in an AR navigation system. Those components are validated and evaluated considering the clear and accurate output or view during craniofacial surgery for the end user. The proposed DVT taxonomy have been considered comparison of system, completeness of system and acceptance of the system as the major criteria. DVT is evaluated and validated our DTV taxonomy by analysing and classifying the 33 state of art publications which work in the AR navigation. This work presents a review over navigational approach towards surgery through AR which highlights the features and usefulness of AR compared to the existing surgical process in terms of processing time, accuracy, efficiency, and feasibility in surgery. Augmented reality (AR) (dpeaa)DE-He213 Oral and maxillofacial surgery (OMS) (dpeaa)DE-He213 3D image (dpeaa)DE-He213 Classification (dpeaa)DE-He213 DDVT (dpeaa)DE-He213 Visualization (dpeaa)DE-He213 Tracking (dpeaa)DE-He213 AlSallami, Nada aut Rashid, Tarik A. aut Gosper, Jeffrey J. aut Prasad, P. W. C. aut Haddad, Sami aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 83(2023), 1 vom: 22. Mai, Seite 685-729 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:83 year:2023 number:1 day:22 month:05 pages:685-729 https://dx.doi.org/10.1007/s11042-023-15581-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 83 2023 1 22 05 685-729 |
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10.1007/s11042-023-15581-w doi (DE-627)SPR054224462 (SPR)s11042-023-15581-w-e DE-627 ger DE-627 rakwb eng Alsadoon, Abeer verfasserin (orcid)0000-0002-2309-3540 aut RETRACTED ARTICLE: DVT: a recent review and a taxonomy for oral and maxillofacial visualization and tracking based augmented reality: image guided surgery 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. corrected publication 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Augmented reality (AR) navigation system is increasingly being integrated into Image Guided Surgery systems. The use of AR registration and tracking system in operating rooms (OR) for oral and maxillofacial surgery (OMS) can result in reducing medical errors and decreasing total operation times. As such, AR systems are assisting to reduce some of the surgical complexities associated with OMS, making it easier for the surgeons to view the operation. Although AR systems has been implemented in OR for many years, there are still several factors that are less than optimal and can cause complications, such as inadequate system accuracy, poor image and video quality, high operating time and cost, and significant complexity of the system required to achieve accurate views of the surgical target of OMS. The aim of this research is to improve the use of AR in OMS using the proposed review taxonomy which incorporated Data, Visualization, and Tracking (DVT). DVT taxonomy defines the major components that are required to implement in an AR navigation system. Those components are validated and evaluated considering the clear and accurate output or view during craniofacial surgery for the end user. The proposed DVT taxonomy have been considered comparison of system, completeness of system and acceptance of the system as the major criteria. DVT is evaluated and validated our DTV taxonomy by analysing and classifying the 33 state of art publications which work in the AR navigation. This work presents a review over navigational approach towards surgery through AR which highlights the features and usefulness of AR compared to the existing surgical process in terms of processing time, accuracy, efficiency, and feasibility in surgery. Augmented reality (AR) (dpeaa)DE-He213 Oral and maxillofacial surgery (OMS) (dpeaa)DE-He213 3D image (dpeaa)DE-He213 Classification (dpeaa)DE-He213 DDVT (dpeaa)DE-He213 Visualization (dpeaa)DE-He213 Tracking (dpeaa)DE-He213 AlSallami, Nada aut Rashid, Tarik A. aut Gosper, Jeffrey J. aut Prasad, P. W. C. aut Haddad, Sami aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 83(2023), 1 vom: 22. Mai, Seite 685-729 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:83 year:2023 number:1 day:22 month:05 pages:685-729 https://dx.doi.org/10.1007/s11042-023-15581-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 83 2023 1 22 05 685-729 |
allfieldsSound |
10.1007/s11042-023-15581-w doi (DE-627)SPR054224462 (SPR)s11042-023-15581-w-e DE-627 ger DE-627 rakwb eng Alsadoon, Abeer verfasserin (orcid)0000-0002-2309-3540 aut RETRACTED ARTICLE: DVT: a recent review and a taxonomy for oral and maxillofacial visualization and tracking based augmented reality: image guided surgery 2023 Text txt rdacontent Computermedien c rdamedia Online-Ressource cr rdacarrier © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. corrected publication 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. Abstract Augmented reality (AR) navigation system is increasingly being integrated into Image Guided Surgery systems. The use of AR registration and tracking system in operating rooms (OR) for oral and maxillofacial surgery (OMS) can result in reducing medical errors and decreasing total operation times. As such, AR systems are assisting to reduce some of the surgical complexities associated with OMS, making it easier for the surgeons to view the operation. Although AR systems has been implemented in OR for many years, there are still several factors that are less than optimal and can cause complications, such as inadequate system accuracy, poor image and video quality, high operating time and cost, and significant complexity of the system required to achieve accurate views of the surgical target of OMS. The aim of this research is to improve the use of AR in OMS using the proposed review taxonomy which incorporated Data, Visualization, and Tracking (DVT). DVT taxonomy defines the major components that are required to implement in an AR navigation system. Those components are validated and evaluated considering the clear and accurate output or view during craniofacial surgery for the end user. The proposed DVT taxonomy have been considered comparison of system, completeness of system and acceptance of the system as the major criteria. DVT is evaluated and validated our DTV taxonomy by analysing and classifying the 33 state of art publications which work in the AR navigation. This work presents a review over navigational approach towards surgery through AR which highlights the features and usefulness of AR compared to the existing surgical process in terms of processing time, accuracy, efficiency, and feasibility in surgery. Augmented reality (AR) (dpeaa)DE-He213 Oral and maxillofacial surgery (OMS) (dpeaa)DE-He213 3D image (dpeaa)DE-He213 Classification (dpeaa)DE-He213 DDVT (dpeaa)DE-He213 Visualization (dpeaa)DE-He213 Tracking (dpeaa)DE-He213 AlSallami, Nada aut Rashid, Tarik A. aut Gosper, Jeffrey J. aut Prasad, P. W. C. aut Haddad, Sami aut Enthalten in Multimedia tools and applications Dordrecht [u.a.] : Springer Science + Business Media B.V, 1995 83(2023), 1 vom: 22. Mai, Seite 685-729 (DE-627)27135030X (DE-600)1479928-5 1573-7721 nnns volume:83 year:2023 number:1 day:22 month:05 pages:685-729 https://dx.doi.org/10.1007/s11042-023-15581-w lizenzpflichtig Volltext GBV_USEFLAG_A SYSFLAG_A GBV_SPRINGER GBV_ILN_11 GBV_ILN_20 GBV_ILN_22 GBV_ILN_23 GBV_ILN_24 GBV_ILN_31 GBV_ILN_32 GBV_ILN_39 GBV_ILN_40 GBV_ILN_60 GBV_ILN_62 GBV_ILN_63 GBV_ILN_69 GBV_ILN_70 GBV_ILN_73 GBV_ILN_74 GBV_ILN_90 GBV_ILN_95 GBV_ILN_100 GBV_ILN_101 GBV_ILN_105 GBV_ILN_110 GBV_ILN_120 GBV_ILN_138 GBV_ILN_150 GBV_ILN_151 GBV_ILN_152 GBV_ILN_161 GBV_ILN_170 GBV_ILN_171 GBV_ILN_187 GBV_ILN_213 GBV_ILN_224 GBV_ILN_230 GBV_ILN_250 GBV_ILN_281 GBV_ILN_285 GBV_ILN_293 GBV_ILN_370 GBV_ILN_602 GBV_ILN_636 GBV_ILN_702 GBV_ILN_2001 GBV_ILN_2003 GBV_ILN_2004 GBV_ILN_2005 GBV_ILN_2006 GBV_ILN_2007 GBV_ILN_2008 GBV_ILN_2009 GBV_ILN_2010 GBV_ILN_2011 GBV_ILN_2014 GBV_ILN_2015 GBV_ILN_2020 GBV_ILN_2021 GBV_ILN_2025 GBV_ILN_2026 GBV_ILN_2027 GBV_ILN_2031 GBV_ILN_2034 GBV_ILN_2037 GBV_ILN_2038 GBV_ILN_2039 GBV_ILN_2044 GBV_ILN_2048 GBV_ILN_2049 GBV_ILN_2050 GBV_ILN_2055 GBV_ILN_2056 GBV_ILN_2057 GBV_ILN_2059 GBV_ILN_2061 GBV_ILN_2064 GBV_ILN_2065 GBV_ILN_2068 GBV_ILN_2088 GBV_ILN_2093 GBV_ILN_2106 GBV_ILN_2107 GBV_ILN_2108 GBV_ILN_2110 GBV_ILN_2111 GBV_ILN_2112 GBV_ILN_2113 GBV_ILN_2118 GBV_ILN_2119 GBV_ILN_2122 GBV_ILN_2129 GBV_ILN_2143 GBV_ILN_2144 GBV_ILN_2147 GBV_ILN_2148 GBV_ILN_2152 GBV_ILN_2153 GBV_ILN_2188 GBV_ILN_2190 GBV_ILN_2232 GBV_ILN_2336 GBV_ILN_2446 GBV_ILN_2470 GBV_ILN_2472 GBV_ILN_2507 GBV_ILN_2522 GBV_ILN_2548 GBV_ILN_4035 GBV_ILN_4037 GBV_ILN_4046 GBV_ILN_4112 GBV_ILN_4125 GBV_ILN_4126 GBV_ILN_4242 GBV_ILN_4246 GBV_ILN_4249 GBV_ILN_4251 GBV_ILN_4305 GBV_ILN_4306 GBV_ILN_4307 GBV_ILN_4313 GBV_ILN_4322 GBV_ILN_4323 GBV_ILN_4324 GBV_ILN_4325 GBV_ILN_4326 GBV_ILN_4328 GBV_ILN_4333 GBV_ILN_4334 GBV_ILN_4335 GBV_ILN_4336 GBV_ILN_4338 GBV_ILN_4393 GBV_ILN_4700 AR 83 2023 1 22 05 685-729 |
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Alsadoon, Abeer misc Augmented reality (AR) misc Oral and maxillofacial surgery (OMS) misc 3D image misc Classification misc DDVT misc Visualization misc Tracking RETRACTED ARTICLE: DVT: a recent review and a taxonomy for oral and maxillofacial visualization and tracking based augmented reality: image guided surgery |
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RETRACTED ARTICLE: DVT: a recent review and a taxonomy for oral and maxillofacial visualization and tracking based augmented reality: image guided surgery Augmented reality (AR) (dpeaa)DE-He213 Oral and maxillofacial surgery (OMS) (dpeaa)DE-He213 3D image (dpeaa)DE-He213 Classification (dpeaa)DE-He213 DDVT (dpeaa)DE-He213 Visualization (dpeaa)DE-He213 Tracking (dpeaa)DE-He213 |
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retracted article: dvt: a recent review and a taxonomy for oral and maxillofacial visualization and tracking based augmented reality: image guided surgery |
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RETRACTED ARTICLE: DVT: a recent review and a taxonomy for oral and maxillofacial visualization and tracking based augmented reality: image guided surgery |
abstract |
Abstract Augmented reality (AR) navigation system is increasingly being integrated into Image Guided Surgery systems. The use of AR registration and tracking system in operating rooms (OR) for oral and maxillofacial surgery (OMS) can result in reducing medical errors and decreasing total operation times. As such, AR systems are assisting to reduce some of the surgical complexities associated with OMS, making it easier for the surgeons to view the operation. Although AR systems has been implemented in OR for many years, there are still several factors that are less than optimal and can cause complications, such as inadequate system accuracy, poor image and video quality, high operating time and cost, and significant complexity of the system required to achieve accurate views of the surgical target of OMS. The aim of this research is to improve the use of AR in OMS using the proposed review taxonomy which incorporated Data, Visualization, and Tracking (DVT). DVT taxonomy defines the major components that are required to implement in an AR navigation system. Those components are validated and evaluated considering the clear and accurate output or view during craniofacial surgery for the end user. The proposed DVT taxonomy have been considered comparison of system, completeness of system and acceptance of the system as the major criteria. DVT is evaluated and validated our DTV taxonomy by analysing and classifying the 33 state of art publications which work in the AR navigation. This work presents a review over navigational approach towards surgery through AR which highlights the features and usefulness of AR compared to the existing surgical process in terms of processing time, accuracy, efficiency, and feasibility in surgery. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. corrected publication 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
abstractGer |
Abstract Augmented reality (AR) navigation system is increasingly being integrated into Image Guided Surgery systems. The use of AR registration and tracking system in operating rooms (OR) for oral and maxillofacial surgery (OMS) can result in reducing medical errors and decreasing total operation times. As such, AR systems are assisting to reduce some of the surgical complexities associated with OMS, making it easier for the surgeons to view the operation. Although AR systems has been implemented in OR for many years, there are still several factors that are less than optimal and can cause complications, such as inadequate system accuracy, poor image and video quality, high operating time and cost, and significant complexity of the system required to achieve accurate views of the surgical target of OMS. The aim of this research is to improve the use of AR in OMS using the proposed review taxonomy which incorporated Data, Visualization, and Tracking (DVT). DVT taxonomy defines the major components that are required to implement in an AR navigation system. Those components are validated and evaluated considering the clear and accurate output or view during craniofacial surgery for the end user. The proposed DVT taxonomy have been considered comparison of system, completeness of system and acceptance of the system as the major criteria. DVT is evaluated and validated our DTV taxonomy by analysing and classifying the 33 state of art publications which work in the AR navigation. This work presents a review over navigational approach towards surgery through AR which highlights the features and usefulness of AR compared to the existing surgical process in terms of processing time, accuracy, efficiency, and feasibility in surgery. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. corrected publication 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
abstract_unstemmed |
Abstract Augmented reality (AR) navigation system is increasingly being integrated into Image Guided Surgery systems. The use of AR registration and tracking system in operating rooms (OR) for oral and maxillofacial surgery (OMS) can result in reducing medical errors and decreasing total operation times. As such, AR systems are assisting to reduce some of the surgical complexities associated with OMS, making it easier for the surgeons to view the operation. Although AR systems has been implemented in OR for many years, there are still several factors that are less than optimal and can cause complications, such as inadequate system accuracy, poor image and video quality, high operating time and cost, and significant complexity of the system required to achieve accurate views of the surgical target of OMS. The aim of this research is to improve the use of AR in OMS using the proposed review taxonomy which incorporated Data, Visualization, and Tracking (DVT). DVT taxonomy defines the major components that are required to implement in an AR navigation system. Those components are validated and evaluated considering the clear and accurate output or view during craniofacial surgery for the end user. The proposed DVT taxonomy have been considered comparison of system, completeness of system and acceptance of the system as the major criteria. DVT is evaluated and validated our DTV taxonomy by analysing and classifying the 33 state of art publications which work in the AR navigation. This work presents a review over navigational approach towards surgery through AR which highlights the features and usefulness of AR compared to the existing surgical process in terms of processing time, accuracy, efficiency, and feasibility in surgery. © The Author(s), under exclusive licence to Springer Science+Business Media, LLC, part of Springer Nature 2023. corrected publication 2023. Springer Nature or its licensor (e.g. a society or other partner) holds exclusive rights to this article under a publishing agreement with the author(s) or other rightsholder(s); author self-archiving of the accepted manuscript version of this article is solely governed by the terms of such publishing agreement and applicable law. |
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title_short |
RETRACTED ARTICLE: DVT: a recent review and a taxonomy for oral and maxillofacial visualization and tracking based augmented reality: image guided surgery |
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https://dx.doi.org/10.1007/s11042-023-15581-w |
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AlSallami, Nada Rashid, Tarik A. Gosper, Jeffrey J. Prasad, P. W. C. Haddad, Sami |
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AlSallami, Nada Rashid, Tarik A. Gosper, Jeffrey J. Prasad, P. W. C. Haddad, Sami |
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score |
7.4019384 |