Automated motion artifact correction for dynamic contrast-enhanced fluorescence imaging during open orthopedic surgery
Indocyanine green (ICG)-based dynamic contrast-enhanced fluorescence imaging (DCE-FI) can objectively assess bone perfusion intraoperatively. However, it is susceptible to motion artifacts due to patient's involuntary respiration during the 4.5-minute DCE-FI data acquisition. An automated motion correction approach based on mutual information (MI) frameby-frame was developed to overcome this problem. In this approach, MIs were calculated between the reference and the adjacent frame translated and the maximal MI corresponded to the optimal translation. The images obtained from eighteen amputation cases were utilized to validate the approach and the results show that this correction can significantly reduce the motion artifacts and can improve the accuracy of bone perfusion assessment.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:12361 |
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| Enthalten in: |
Proceedings of SPIE--the International Society for Optical Engineering - 12361(2023) vom: 03. Jan. |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Tang, Yue [VerfasserIn] |
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| Links: |
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| Themen: |
Bone vascular perfusion |
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| Anmerkungen: |
Date Revised 31.10.2023 published: Print-Electronic Citation Status PubMed-not-MEDLINE |
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| doi: |
10.1117/12.2650028 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM355391953 |
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| 100 | 1 | |a Tang, Yue |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Automated motion artifact correction for dynamic contrast-enhanced fluorescence imaging during open orthopedic surgery |
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| 500 | |a Date Revised 31.10.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status PubMed-not-MEDLINE | ||
| 520 | |a Indocyanine green (ICG)-based dynamic contrast-enhanced fluorescence imaging (DCE-FI) can objectively assess bone perfusion intraoperatively. However, it is susceptible to motion artifacts due to patient's involuntary respiration during the 4.5-minute DCE-FI data acquisition. An automated motion correction approach based on mutual information (MI) frameby-frame was developed to overcome this problem. In this approach, MIs were calculated between the reference and the adjacent frame translated and the maximal MI corresponded to the optimal translation. The images obtained from eighteen amputation cases were utilized to validate the approach and the results show that this correction can significantly reduce the motion artifacts and can improve the accuracy of bone perfusion assessment | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a bone vascular perfusion | |
| 650 | 4 | |a dynamic contrast-enhanced fluorescence imaging | |
| 650 | 4 | |a indocyanine green | |
| 650 | 4 | |a motion artifact | |
| 650 | 4 | |a open orthopedic surgery | |
| 650 | 4 | |a time-intensity curve | |
| 700 | 1 | |a Gitajn, I Leah |e verfasserin |4 aut | |
| 700 | 1 | |a Cao, Xu |e verfasserin |4 aut | |
| 700 | 1 | |a Han, Xinyue |e verfasserin |4 aut | |
| 700 | 1 | |a Elliott, Jonathan T |e verfasserin |4 aut | |
| 700 | 1 | |a Yu, Xiaohan |e verfasserin |4 aut | |
| 700 | 1 | |a Bateman, Logan M |e verfasserin |4 aut | |
| 700 | 1 | |a Malskis, Bethany S |e verfasserin |4 aut | |
| 700 | 1 | |a Fisher, Lillian A |e verfasserin |4 aut | |
| 700 | 1 | |a Sin, Jessica M |e verfasserin |4 aut | |
| 700 | 1 | |a Henderson, Eric R |e verfasserin |4 aut | |
| 700 | 1 | |a Pogue, Brian W |e verfasserin |4 aut | |
| 700 | 1 | |a Jiang, Shudong |e verfasserin |4 aut | |
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