Details
| Original language | English |
|---|---|
| Title of host publication | Medical Imaging 2017 |
| Subtitle of host publication | Image-Guided Procedures, Robotic Interventions, and Modeling |
| Editors | Robert J. Webster, Baowei Fei |
| Publisher | SPIE |
| ISBN (electronic) | 9781510607156 |
| Publication status | Published - 2017 |
| Event | Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling - Orlando, United States Duration: 14 Feb 2017 → 16 Feb 2017 |
Publication series
| Name | Progress in Biomedical Optics and Imaging - Proceedings of SPIE |
|---|---|
| Volume | 10135 |
| ISSN (Print) | 1605-7422 |
Abstract
A common representation of volumetric medical image data is the triplanar view (TV), in which the surgeon manually selects slices showing the anatomical structure of interest. In addition to common medical imaging such as MRI or computed tomography, recent advances in the field of optical coherence tomography (OCT) have enabled live processing and volumetric rendering of four-dimensional images of the human body. Due to the region of interest undergoing motion, it is challenging for the surgeon to simultaneously keep track of an object by continuously adjusting the TV to desired slices. To select these slices in subsequent frames automatically, it is necessary to track movements of the volume of interest (VOI). This has not been addressed with respect to 4DOCT images yet. Therefore, this paper evaluates motion tracking by applying state-of-the-art tracking schemes on maximum intensity projections (MIP) of 4D-OCT images. Estimated VOI location is used to conveniently show corresponding slices and to improve the MIPs by calculating thin-slab MIPs. Tracking performances are evaluated on an in-vivo sequence of human skin, captured at 26 volumes per second. Among investigated tracking schemes, our recently presented tracking scheme for soft tissue motion provides highest accuracy with an error of under 2.2 voxels for the first 80 volumes. Object tracking on 4D-OCT images enables its use for sub-epithelial tracking of microvessels for image-guidance.
Keywords
- 4D imaging, Feature tracking, Maximum intensity projection, Optical coherence tomography
ASJC Scopus subject areas
- Materials Science(all)
- Electronic, Optical and Magnetic Materials
- Materials Science(all)
- Biomaterials
- Physics and Astronomy(all)
- Atomic and Molecular Physics, and Optics
- Medicine(all)
- Radiology Nuclear Medicine and imaging
Cite this
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Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling. ed. / Robert J. Webster; Baowei Fei. SPIE, 2017. 101350W (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Vol. 10135).
Research output: Chapter in book/report/conference proceeding › Conference contribution › Research › peer review
}
TY - GEN
T1 - Feature tracking for automated volume of interest stabilization on 4D-OCT images
AU - Laves, Max Heinrich
AU - Schoob, Andreas
AU - Kahrs, Lüder A.
AU - Pfeiffer, Tom
AU - Huber, Robert
AU - Ortmaier, Tobias
PY - 2017
Y1 - 2017
N2 - A common representation of volumetric medical image data is the triplanar view (TV), in which the surgeon manually selects slices showing the anatomical structure of interest. In addition to common medical imaging such as MRI or computed tomography, recent advances in the field of optical coherence tomography (OCT) have enabled live processing and volumetric rendering of four-dimensional images of the human body. Due to the region of interest undergoing motion, it is challenging for the surgeon to simultaneously keep track of an object by continuously adjusting the TV to desired slices. To select these slices in subsequent frames automatically, it is necessary to track movements of the volume of interest (VOI). This has not been addressed with respect to 4DOCT images yet. Therefore, this paper evaluates motion tracking by applying state-of-the-art tracking schemes on maximum intensity projections (MIP) of 4D-OCT images. Estimated VOI location is used to conveniently show corresponding slices and to improve the MIPs by calculating thin-slab MIPs. Tracking performances are evaluated on an in-vivo sequence of human skin, captured at 26 volumes per second. Among investigated tracking schemes, our recently presented tracking scheme for soft tissue motion provides highest accuracy with an error of under 2.2 voxels for the first 80 volumes. Object tracking on 4D-OCT images enables its use for sub-epithelial tracking of microvessels for image-guidance.
AB - A common representation of volumetric medical image data is the triplanar view (TV), in which the surgeon manually selects slices showing the anatomical structure of interest. In addition to common medical imaging such as MRI or computed tomography, recent advances in the field of optical coherence tomography (OCT) have enabled live processing and volumetric rendering of four-dimensional images of the human body. Due to the region of interest undergoing motion, it is challenging for the surgeon to simultaneously keep track of an object by continuously adjusting the TV to desired slices. To select these slices in subsequent frames automatically, it is necessary to track movements of the volume of interest (VOI). This has not been addressed with respect to 4DOCT images yet. Therefore, this paper evaluates motion tracking by applying state-of-the-art tracking schemes on maximum intensity projections (MIP) of 4D-OCT images. Estimated VOI location is used to conveniently show corresponding slices and to improve the MIPs by calculating thin-slab MIPs. Tracking performances are evaluated on an in-vivo sequence of human skin, captured at 26 volumes per second. Among investigated tracking schemes, our recently presented tracking scheme for soft tissue motion provides highest accuracy with an error of under 2.2 voxels for the first 80 volumes. Object tracking on 4D-OCT images enables its use for sub-epithelial tracking of microvessels for image-guidance.
KW - 4D imaging
KW - Feature tracking
KW - Maximum intensity projection
KW - Optical coherence tomography
UR - http://www.scopus.com/inward/record.url?scp=85020420251&partnerID=8YFLogxK
U2 - 10.1117/12.2255090
DO - 10.1117/12.2255090
M3 - Conference contribution
AN - SCOPUS:85020420251
T3 - Progress in Biomedical Optics and Imaging - Proceedings of SPIE
BT - Medical Imaging 2017
A2 - Webster, Robert J.
A2 - Fei, Baowei
PB - SPIE
T2 - Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling
Y2 - 14 February 2017 through 16 February 2017
ER -