Image-Guided Laparoscopic Surgical Tool (IGLaST) Based on the Optical Frequency Domain Imaging (OFDI) to Prevent Bleeding

Park, Byung Jun; Lee, Seung Rag; Bang, Hyun Jin; Kim, Byung Yeon; Park, Jeong Hun; Kim, Dong Guk; Won, Young J.

doi:10.3390/s17040919

Cited by 6 publications

(10 citation statements)

References 17 publications

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“…The CLF had a cladding diameter of 125 um. First of all, the polished PMF was spliced to the polished CLF with a specific length using a fusing splicer device [ 25 ]. Secondly, we followed the fabrication process of a ball lens, mentioned by the previous paper [ 25 , 26 ].…”

Section: Methodsmentioning

confidence: 99%

“…First of all, the polished PMF was spliced to the polished CLF with a specific length using a fusing splicer device [ 25 ]. Secondly, we followed the fabrication process of a ball lens, mentioned by the previous paper [ 25 , 26 ]. Finally, the distal end of the CLF was heated to form a ball lens with the specific diameter (

300 um) and the spherical refraction surface by controlling the temperature of the filament and the heating time on the splicer device.…”

Section: Methodsmentioning

confidence: 99%

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Rapid Molecular Diagnostic Sensor Based on Ball-Lensed Optical Fibers

et al. 2021

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Given the fatal health conditions caused by emerging infectious pathogens, such as severe acute respiratory syndrome coronavirus 2, their rapid diagnosis is required for preventing secondary infections and guiding correct treatments. Although various molecular diagnostic methods based on nucleic acid amplification have been suggested as gold standards for identifying different species, these methods are not suitable for the rapid diagnosis of pathogens owing to their long result acquisition times and complexity. In this study, we developed a rapid bio-optical sensor that uses a ball-lensed optical fiber (BLOF) probe and an automatic analysis platform to precisely diagnose infectious pathogens. The BLOF probe is easy to align and has a high optical sensing sensitivity (1.5-fold) and a large detection range (1.2-fold) for an automatic optical sensing system. Automatic signal processing of up to 250 copies/reaction of DNA of Q-fever-causing Coxiella burnetii was achieved within 8 min. The clinical utility of this system was demonstrated with 18 clinical specimens (9 Q-fever and 9 other febrile disease samples) by measuring the resonant wavelength shift of positive or negative samples for Coxiella burnetii DNA. The results from the system revealed the stable and automatic optical signal measurement of DNA with 100% accuracy. We envision that this BLOF probe-based sensor would be a practical tool for the rapid, simple, and sensitive diagnosis of emerging infectious pathogens.

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Section: Methodsmentioning

confidence: 99%

300 um) and the spherical refraction surface by controlling the temperature of the filament and the heating time on the splicer device.…”

Section: Methodsmentioning

confidence: 99%

Rapid Molecular Diagnostic Sensor Based on Ball-Lensed Optical Fibers

et al. 2021

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“…Previously, we demonstrated the feasibility of cross-sectional blood vessel imaging using swept-source OCT (SS-OCT) on the mesenteric tissue of a pig, using the image-guided laparoscopic surgical tool (IGLaST). 8 In this study, we obtained OCT images using the IGLaST with a slight modification: we changed the sample probe from a glass ball lens to an epoxy ball lens to reduce manufacturing complexity and production cost, sacrificing the lateral resolution of the system which is monotonically increasing over depth. By utilizing 1-D inputs and 1-D kernels, space and time complexity decrease from O(n 2 ) to O(n), and the network can restore signals with arbitrary PSFs by specifying the PSF of the input signal to the network.…”

Section: Introductionmentioning

confidence: 99%

Lateral image reconstruction of optical coherence tomography using one‐dimensional deep deconvolution network

et al. 2022

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Background and Objectives: Optical coherence tomography (OCT) is a crosssectional imaging method utilizing a low coherence interferometry. The lateral resolution of the OCT is limited by the numerical aperture (NA) of the imaging lens. Using a high NA lens improves the lateral resolution but reduces the depth of focus (DOF). In this study, we propose a method to improve the lateral resolution of OCT images by end-to-end training of a deep 1-D deconvolution network without use of high-resolution images. Materials and Methods: To improve the lateral resolution of the OCT, we trained the 1-D deconvolution network using lateral profiles of OCT images and the beam spot size. We used our image-guided laparoscopic surgical tool (IGLaST) to acquire OCT images of nonbiological and biological samples ex vivo. The OCT images were then blurred by applying Gaussian functions with various full width half maximums ranging from 40 to 160 µm. The network was trained using the blurred OCT images as input and the non-blurred original OCT images as output. We quantitatively evaluated the developed network in terms of similarity and signal-to-ratio (SNR), using in-vivo images of mesenteric tissue from a porcine model that was not used for training. In addition, we performed knife-edge tests and qualitative evaluation of the network to show the lateral resolution improvement of ex-vivo and in-vivo OCT images. Results: The proposed method showed an improvement of image quality on both blurred images and non-blurred images. When the proposed deconvolution network was applied, the similarity to the non-blurred image was improved by 1.29 times, and the SNR was improved by 1.76 dB compared to the artificially blurred images, which was superior to the conventional deconvolution method. The knife-edge tests at distances at 200 to 1000 µm from the imaging probe showed an approximately 1.2 times improvement in lateral resolution. In addition, through qualitative evaluation, it was found that the image quality of both ex-vivo and invivo tissue images was improved with clear structure and less noise. Conclusions: This study showed the ability of the 1-D deconvolution network to improve the image quality of OCT images with variable lateral resolution. We were able to train the network with a small amount of data by constraining the network in 1-D. The quantitative evaluation showed better results than conventional deconvolution methods for various amount of blurring. Qualitative evaluation showed analogous results with quantitative results. This simple yet powerful image restoration method provides improved lateral resolution and suppresses background noise, making it applicable to a variety of OCT imaging applications.

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“…OCT has also been studied to guide interventions like cochleostomy [17] or to monitor medical lasers [18,19]. For intra-operative applications, integration of OCT scanning into surgical tools has been proposed [20,21]. OCT has been studied for image registration in the contexts of tracking of artificial markers [22] and video stabilization [23].…”

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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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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Image-Guided Laparoscopic Surgical Tool (IGLaST) Based on the Optical Frequency Domain Imaging (OFDI) to Prevent Bleeding

Cited by 6 publications

References 17 publications

Rapid Molecular Diagnostic Sensor Based on Ball-Lensed Optical Fibers

Rapid Molecular Diagnostic Sensor Based on Ball-Lensed Optical Fibers

Lateral image reconstruction of optical coherence tomography using one‐dimensional deep deconvolution network

Concept for Markerless 6D Tracking Employing Volumetric Optical Coherence Tomography

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