Feature tracking for automated volume of interest stabilization on 4D-OCT images

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Autoren

  • Max Heinrich Laves
  • Andreas Schoob
  • Lüder A. Kahrs
  • Tom Pfeiffer
  • Robert Huber
  • Tobias Ortmaier

Organisationseinheiten

Externe Organisationen

  • Universität zu Lübeck
Forschungs-netzwerk anzeigen

Details

OriginalspracheEnglisch
Titel des SammelwerksMedical Imaging 2017
UntertitelImage-Guided Procedures, Robotic Interventions, and Modeling
Herausgeber/-innenRobert J. Webster, Baowei Fei
Herausgeber (Verlag)SPIE
ISBN (elektronisch)9781510607156
PublikationsstatusVeröffentlicht - 2017
VeranstaltungMedical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling - Orlando, USA / Vereinigte Staaten
Dauer: 14 Feb. 201716 Feb. 2017

Publikationsreihe

NameProgress in Biomedical Optics and Imaging - Proceedings of SPIE
Band10135
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.

ASJC Scopus Sachgebiete

Zitieren

Feature tracking for automated volume of interest stabilization on 4D-OCT images. / Laves, Max Heinrich; Schoob, Andreas; Kahrs, Lüder A. et al.
Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling. Hrsg. / Robert J. Webster; Baowei Fei. SPIE, 2017. 101350W (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Band 10135).

Publikation: Beitrag in Buch/Bericht/Sammelwerk/KonferenzbandAufsatz in KonferenzbandForschungPeer-Review

Laves, MH, Schoob, A, Kahrs, LA, Pfeiffer, T, Huber, R & Ortmaier, T 2017, Feature tracking for automated volume of interest stabilization on 4D-OCT images. in RJ Webster & B Fei (Hrsg.), Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling., 101350W, Progress in Biomedical Optics and Imaging - Proceedings of SPIE, Bd. 10135, SPIE, Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling, Orlando, USA / Vereinigte Staaten, 14 Feb. 2017. https://doi.org/10.1117/12.2255090
Laves, M. H., Schoob, A., Kahrs, L. A., Pfeiffer, T., Huber, R., & Ortmaier, T. (2017). Feature tracking for automated volume of interest stabilization on 4D-OCT images. In R. J. Webster, & B. Fei (Hrsg.), Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling Artikel 101350W (Progress in Biomedical Optics and Imaging - Proceedings of SPIE; Band 10135). SPIE. https://doi.org/10.1117/12.2255090
Laves MH, Schoob A, Kahrs LA, Pfeiffer T, Huber R, Ortmaier T. Feature tracking for automated volume of interest stabilization on 4D-OCT images. in Webster RJ, Fei B, Hrsg., Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling. SPIE. 2017. 101350W. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE). doi: 10.1117/12.2255090
Laves, Max Heinrich ; Schoob, Andreas ; Kahrs, Lüder A. et al. / Feature tracking for automated volume of interest stabilization on 4D-OCT images. Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling. Hrsg. / Robert J. Webster ; Baowei Fei. SPIE, 2017. (Progress in Biomedical Optics and Imaging - Proceedings of SPIE).
Download
@inproceedings{79d31415d0cb4db69d2000b46dd7e6c7,
title = "Feature tracking for automated volume of interest stabilization on 4D-OCT images",
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",
author = "Laves, {Max Heinrich} and Andreas Schoob and Kahrs, {L{\"u}der A.} and Tom Pfeiffer and Robert Huber and Tobias Ortmaier",
year = "2017",
doi = "10.1117/12.2255090",
language = "English",
series = "Progress in Biomedical Optics and Imaging - Proceedings of SPIE",
publisher = "SPIE",
editor = "Webster, {Robert J.} and Baowei Fei",
booktitle = "Medical Imaging 2017",
address = "United States",
note = "Medical Imaging 2017: Image-Guided Procedures, Robotic Interventions, and Modeling ; Conference date: 14-02-2017 Through 16-02-2017",

}

Download

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 -