High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images

Schlüter, Matthias; Glandorf, Lukas; Sprenger, Johanna; Gromniak, Martin; Neidhardt, Maximilian; Saathoff, Thore; Schlaefer, Alexander

doi:10.1109/isbi45749.2020.9098448

Cited by 2 publications

(8 citation statements)

References 10 publications

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“…In previous work [33], we showed that the phase correlation method is a suitable and efficient tracking algorithm for the single-template setup with purely translational motion. It employs cross-correlation to estimate the translation between a template C-scan and a new template C-scan.…”

Section: Tracking Algorithmmentioning

confidence: 99%

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Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography

Schlüter

Glandorf

Gromniak

et al. 2020

Sensors

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Optical tracking systems are widely used, for example, to navigate medical interventions. Typically, they require the presence of known geometrical structures, the placement of artificial markers, or a prominent texture on the target’s surface. In this work, we propose a 6D tracking approach employing volumetric optical coherence tomography (OCT) images. OCT has a micrometer-scale resolution and employs near-infrared light to penetrate few millimeters into, for example, tissue. Thereby, it provides sub-surface information which we use to track arbitrary targets, even with poorly structured surfaces, without requiring markers. Our proposed system can shift the OCT’s field-of-view in space and uses an adaptive correlation filter to estimate the motion at multiple locations on the target. This allows one to estimate the target’s position and orientation. We show that our approach is able to track translational motion with root-mean-squared errors below 0.25 mm and in-plane rotations with errors below 0.3°. For out-of-plane rotations, our prototypical system can achieve errors around 0.6°.

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Section: Tracking Algorithmmentioning

confidence: 99%

“…By additionally using a motorized reference arm, the FOV can also be shifted axially. Besides volume stitching, this setup also allows one to compensate for translational motion of a target by dynamically adjusting the FOV position and to recover its trajectory [33]. However, this approach is so far limited to 3D tracking.…”

Section: Introductionmentioning

confidence: 99%

Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography

Schlüter

Glandorf

Gromniak

et al. 2020

Sensors

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“…The limitation of this method is the complex structure, which makes it not easy to integrate with the front end of a minimally invasive instrument. For the image-based system, the displacement of the living tissue is estimated according to the image captured by the image sensor (e.g., CCD, CMOS) through complex image processing [12,14,[21][22][23][24]. The optical imaging system, especially the wide-field image system, has a simpler structure than the optical triangulation system, which makes it easy to be miniatured and integrated into a minimally invasive instrument, but it still has some limitations to measure the displacement of living tissues with image-based methods.…”

Section: Introductionmentioning

confidence: 99%

“…One of the major limitations is that it commonly measures the movement of living tissues in the horizontal (X-Y) direction with high-speed optical imaging system [12,21], but it is not easy to measure the movement of living tissues in the longitudinal (Z) direction with a single-camera-based imaging system. Although the OCT method can achieve micron level measurement accuracy for the longitudinal movement of living tissue, the high measuring precision means a small measuring range [22,23]. Recently, a method that estimates 3D motion of living tissues by correlation computation has been proposed [14,24].…”

Section: Introductionmentioning

confidence: 99%

“…Thus, to realize an AMC system for eliminating the effect of tissue movement, a high-speed displacement sensor for measuring the motion of living tissues in real time is indispensable. Currently, state-of-the-art methods for measuring the motion of living tissues are based on an optical system, such as optical triangulation [15][16][17][18][19][20], high speed optical imaging [12,21], optical coherence tomography (OCT) [22,23] and image correlation computation [14,24]. Optical systems can be further broadly classified as nonimage-based and image-based systems.…”

Section: Introductionmentioning

confidence: 99%

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A Compact High-Speed Image-Based Method for Measuring the Longitudinal Motion of Living Tissues

Yang

Liao

et al. 2020

Sensors

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Intraoperative imaging of living tissue at the cell level by endomicroscopy might help surgeons optimize surgical procedures and provide individualized treatments. However, the resolution of the microscopic image is limited by the motion of living tissue caused by heartbeat and respiration. An active motion compensation (AMC) strategy has been recognized as an effective way to reduce, or even eliminate, the influence of tissue movement for intravital fluorescence microscopy (IVM). To realize the AMC system, a high-speed sensor for measuring the motion of tissues is needed. At present, state-of-the-art commercialized displacement sensors are not suitable to apply in minimally invasive imaging instruments to measure the motion of living tissues because of the size problem, range of measurement or the update rate. In this study, a compact high-speed image-based method for measuring the longitudinal motion of living tissues is proposed. The complexity of the proposed method is the same as that of the traditional wide-field fluorescent microscopy (WFFM) system, which makes it easy to be miniaturized and integrated into a minimally invasive imaging instrument. Experimental results reveal that the maximum indication error, range of measurement and the sensitivity of the laboratory-built experimental prototype is 150 μm, 6 mm and −211.46 mm−1 respectively. Experimental results indicate that the proposed optical method is expected to be used in minimally invasive imaging instruments to build an AMC system.

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High-Speed Markerless Tissue Motion Tracking Using Volumetric Optical Coherence Tomography Images

Cited by 2 publications

References 10 publications

Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography

Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography

A Compact High-Speed Image-Based Method for Measuring the Longitudinal Motion of Living Tissues

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