Soft Tissue Monitoring of the Surgical Field : Detection and Tracking of Breast Surface Deformations
OBJECTIVE: Deformable object tracking is common in the computer vision field, with applications typically focusing on nonrigid shape detection and usually not requiring specific three-dimensional point localization. In surgical guidance however, accurate navigation is intrinsically linked to precise correspondence of tissue structure. This work presents a contactless, automated fiducial acquisition method using stereo video of the operating field to provide reliable three-dimensional fiducial localization for an image guidance framework in breast conserving surgery.
METHODS: On n = 8 breasts from healthy volunteers, the breast surface was measured throughout the full range of arm motion in a supine mock-surgical position. Using hand-drawn inked fiducials, adaptive thresholding, and KAZE feature matching, precise three-dimensional fiducial locations were detected and tracked through tool interference, partial and complete marker occlusions, significant displacements and nonrigid shape distortions.
RESULTS: Compared to digitization with a conventional optically tracked stylus, fiducials were automatically localized with 1.6 ± 0.5 mm accuracy and the two measurement methods did not significantly differ. The algorithm provided an average false discovery rate <0.1% with all cases' rates below 0.2%. On average, 85.6 ± 5.9% of visible fiducials were automatically detected and tracked, and 99.1 ± 1.1% of frames provided only true positive fiducial measurements, which indicates the algorithm achieves a data stream that can be used for reliable on-line registration.
CONCLUSIONS: Tracking is robust to occlusions, displacements, and most shape distortions.
SIGNIFICANCE: This work-flow friendly data collection method provides highly accurate and precise three-dimensional surface data to drive an image guidance system for breast conserving surgery.
| Medienart: |
E-Artikel |
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| Erscheinungsjahr: |
2023 |
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| Erschienen: |
2023 |
| Enthalten in: |
Zur Gesamtaufnahme - volume:70 |
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| Enthalten in: |
IEEE transactions on bio-medical engineering - 70(2023), 7 vom: 04. Juli, Seite 2002-2012 |
| Sprache: |
Englisch |
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| Beteiligte Personen: |
Richey, Winona L [VerfasserIn] |
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| Links: |
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| Themen: |
Journal Article |
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| Anmerkungen: |
Date Completed 21.06.2023 Date Revised 21.06.2023 published: Print-Electronic Citation Status MEDLINE |
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| doi: |
10.1109/TBME.2022.3233909 |
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| funding: |
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| Förderinstitution / Projekttitel: |
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| PPN (Katalog-ID): |
NLM355229633 |
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| 100 | 1 | |a Richey, Winona L |e verfasserin |4 aut | |
| 245 | 1 | 0 | |a Soft Tissue Monitoring of the Surgical Field |b Detection and Tracking of Breast Surface Deformations |
| 264 | 1 | |c 2023 | |
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| 500 | |a Date Completed 21.06.2023 | ||
| 500 | |a Date Revised 21.06.2023 | ||
| 500 | |a published: Print-Electronic | ||
| 500 | |a Citation Status MEDLINE | ||
| 520 | |a OBJECTIVE: Deformable object tracking is common in the computer vision field, with applications typically focusing on nonrigid shape detection and usually not requiring specific three-dimensional point localization. In surgical guidance however, accurate navigation is intrinsically linked to precise correspondence of tissue structure. This work presents a contactless, automated fiducial acquisition method using stereo video of the operating field to provide reliable three-dimensional fiducial localization for an image guidance framework in breast conserving surgery | ||
| 520 | |a METHODS: On n = 8 breasts from healthy volunteers, the breast surface was measured throughout the full range of arm motion in a supine mock-surgical position. Using hand-drawn inked fiducials, adaptive thresholding, and KAZE feature matching, precise three-dimensional fiducial locations were detected and tracked through tool interference, partial and complete marker occlusions, significant displacements and nonrigid shape distortions | ||
| 520 | |a RESULTS: Compared to digitization with a conventional optically tracked stylus, fiducials were automatically localized with 1.6 ± 0.5 mm accuracy and the two measurement methods did not significantly differ. The algorithm provided an average false discovery rate <0.1% with all cases' rates below 0.2%. On average, 85.6 ± 5.9% of visible fiducials were automatically detected and tracked, and 99.1 ± 1.1% of frames provided only true positive fiducial measurements, which indicates the algorithm achieves a data stream that can be used for reliable on-line registration | ||
| 520 | |a CONCLUSIONS: Tracking is robust to occlusions, displacements, and most shape distortions | ||
| 520 | |a SIGNIFICANCE: This work-flow friendly data collection method provides highly accurate and precise three-dimensional surface data to drive an image guidance system for breast conserving surgery | ||
| 650 | 4 | |a Journal Article | |
| 650 | 4 | |a Research Support, Non-U.S. Gov't | |
| 650 | 4 | |a Research Support, N.I.H., Extramural | |
| 650 | 4 | |a Research Support, U.S. Gov't, Non-P.H.S. | |
| 700 | 1 | |a Heiselman, Jon S |e verfasserin |4 aut | |
| 700 | 1 | |a Ringel, Morgan J |e verfasserin |4 aut | |
| 700 | 1 | |a Meszoely, Ingrid M |e verfasserin |4 aut | |
| 700 | 1 | |a Miga, Michael I |e verfasserin |4 aut | |
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