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  1. Article ; Online: Modulatory Effects on Laminar Neural Activity Induced by Near-Infrared Light Stimulation with a Continuous Waveform to the Mouse Inferior Colliculus In Vivo.

    Sato, Hiromu / Sugimoto, Futoshi / Furukawa, Ryo / Tateno, Takashi

    eNeuro

    2024  Volume 11, Issue 5

    Abstract: Infrared neural stimulation (INS) is a promising area of interest for the clinical application of a neuromodulation method. This is in part because of its low invasiveness, whereby INS modulates the activity of the neural tissue mainly through ... ...

    Abstract Infrared neural stimulation (INS) is a promising area of interest for the clinical application of a neuromodulation method. This is in part because of its low invasiveness, whereby INS modulates the activity of the neural tissue mainly through temperature changes. Additionally, INS may provide localized brain stimulation with less tissue damage. The inferior colliculus (IC) is a crucial auditory relay nucleus and a potential target for clinical application of INS to treat auditory diseases and develop artificial hearing devices. Here, using continuous INS with low to high-power density, we demonstrate the laminar modulation of neural activity in the mouse IC in the presence and absence of sound. We investigated stimulation parameters of INS to effectively modulate the neural activity in a facilitatory or inhibitory manner. A mathematical model of INS-driven brain tissue was first simulated, temperature distributions were numerically estimated, and stimulus parameters were selected from the simulation results. Subsequently, INS was administered to the IC of anesthetized mice, and the modulation effect on the neural activity was measured using an electrophysiological approach. We found that the modulatory effect of INS on the spontaneous neural activity was bidirectional between facilitatory and inhibitory effects. The modulatory effect on sound-evoked responses produced only an inhibitory effect to all examined stimulus intensities. Thus, this study provides important physiological evidence on the response properties of IC neurons to INS. Overall, INS can be used for the development of new therapies for neurological disorders and functional support devices for auditory central processing.
    MeSH term(s) Animals ; Inferior Colliculi/physiology ; Infrared Rays ; Mice ; Male ; Photic Stimulation/methods ; Acoustic Stimulation/methods ; Neurons/physiology ; Mice, Inbred C57BL ; Models, Neurological ; Evoked Potentials, Auditory/physiology
    Language English
    Publishing date 2024-05-13
    Publishing country United States
    Document type Journal Article
    ZDB-ID 2800598-3
    ISSN 2373-2822 ; 2373-2822
    ISSN (online) 2373-2822
    ISSN 2373-2822
    DOI 10.1523/ENEURO.0521-23.2024
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  2. Article: Calibration-free structured-light-based 3D scanning system in laparoscope for robotic surgery.

    Furukawa, Ryo / Chen, Elvis / Sagawa, Ryusuke / Oka, Shiro / Kawasaki, Hiroshi

    Healthcare technology letters

    2024  Volume 11, Issue 2-3, Page(s) 196–205

    Abstract: Accurate 3D shape measurement is crucial for surgical support and alignment in robotic surgery systems. Stereo cameras in laparoscopes offer a potential solution; however, their accuracy in stereo image matching diminishes when the target image has few ... ...

    Abstract Accurate 3D shape measurement is crucial for surgical support and alignment in robotic surgery systems. Stereo cameras in laparoscopes offer a potential solution; however, their accuracy in stereo image matching diminishes when the target image has few textures. Although stereo matching with deep learning has gained significant attention, supervised learning requires a large dataset of images with depth annotations, which are scarce for laparoscopes. Thus, there is a strong demand to explore alternative methods for depth reconstruction or annotation for laparoscopes. Active stereo techniques are a promising approach for achieving 3D reconstruction without textures. In this study, a 3D shape reconstruction method is proposed using an ultra-small patterned projector attached to a laparoscopic arm to address these issues. The pattern projector emits a structured light with a grid-like pattern that features node-wise modulation for positional encoding. To scan the target object, multiple images are taken while the projector is in motion, and the relative poses of the projector and a camera are auto-calibrated using a differential rendering technique. In the experiment, the proposed method is evaluated by performing 3D reconstruction using images obtained from a surgical robot and comparing the results with a ground-truth shape obtained from X-ray CT.
    Language English
    Publishing date 2024-03-08
    Publishing country England
    Document type Journal Article
    ZDB-ID 2782924-8
    ISSN 2053-3713
    ISSN 2053-3713
    DOI 10.1049/htl2.12083
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  3. Article: Scale-preserving shape reconstruction from monocular endoscope image sequences by supervised depth learning.

    Masuda, Takeshi / Sagawa, Ryusuke / Furukawa, Ryo / Kawasaki, Hiroshi

    Healthcare technology letters

    2023  Volume 11, Issue 2-3, Page(s) 76–84

    Abstract: Reconstructing 3D shapes from images are becoming popular, but such methods usually estimate relative depth maps with ambiguous scales. A method for reconstructing a scale-preserving 3D shape from monocular endoscope image sequences through training an ... ...

    Abstract Reconstructing 3D shapes from images are becoming popular, but such methods usually estimate relative depth maps with ambiguous scales. A method for reconstructing a scale-preserving 3D shape from monocular endoscope image sequences through training an absolute depth prediction network is proposed. First, a dataset of synchronized sequences of RGB images and depth maps is created using an endoscope simulator. Then, a supervised depth prediction network is trained that estimates a depth map from a RGB image minimizing the loss compared to the ground-truth depth map. The predicted depth map sequence is aligned to reconstruct a 3D shape. Finally, the proposed method is applied to a real endoscope image sequence.
    Language English
    Publishing date 2023-12-15
    Publishing country England
    Document type Journal Article
    ZDB-ID 2782924-8
    ISSN 2053-3713
    ISSN 2053-3713
    DOI 10.1049/htl2.12064
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  4. Article ; Online: A piezoelectric micromachined ultrasound transducer combined with recording electrodes for acute brain preparations in vitro.

    Furukawa, Ryo / Yoshikawa, Takahiro / Murakami, Shuichi / Tateno, Takashi

    Journal of neuroscience methods

    2023  Volume 403, Page(s) 110048

    Abstract: Background: Ultrasound stimulation is used to noninvasively stimulate the local and deep areas of the brain. However, the detailed cellular mechanisms of neural activation are still unclear because studies on micro-stimulation at the cellular level are ... ...

    Abstract Background: Ultrasound stimulation is used to noninvasively stimulate the local and deep areas of the brain. However, the detailed cellular mechanisms of neural activation are still unclear because studies on micro-stimulation at the cellular level are lacking.
    New method: To modulate neural activity at the cellular level, we developed a piezoelectric micromachined ultrasound transducer (PMUT), having circular diaphragms for application on acute brain slice preparations. To monitor neural activities, additionally, we fabricated recording microelectrodes onto the same PMUT device for closed-loop application.
    Results: To examine the PMUT-driven cellular responses of a brain slice, intracellular calcium signals in individual cells were measured using two calcium indicators. We successfully observed the intracellular responses triggered by the ultrasound of our novel PMUT. In addition, we performed recordings of local field potentials in a brain slice, demonstrating its usefulness as a simultaneous recording interface.
    Comparison with existing method(s): Conventional ultrasound stimulators are open-loop systems that risk inducing excessive neural activity because of the absence of neural activity monitoring. In contrast, our PMUT is packaged in a single device with both stimulation and sensor interface for neuromodulation. Further, there are no published reports on in vitro microdevices that can be used for ultrasound stimulation in rodent cortical slices that are several hundred micrometers thick, which maintain the cortical laminar structure and intrinsic neural networks.
    Conclusions: Our findings suggest that this novel PMUT device has the potential for being a powerful tool for in vitro brain slice applications and effective closed loop ultrasound stimulation.
    MeSH term(s) Calcium ; Brain/diagnostic imaging ; Ultrasonography ; Microelectrodes ; Transducers
    Chemical Substances Calcium (SY7Q814VUP)
    Language English
    Publishing date 2023-12-25
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 282721-9
    ISSN 1872-678X ; 0165-0270
    ISSN (online) 1872-678X
    ISSN 0165-0270
    DOI 10.1016/j.jneumeth.2023.110048
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  5. Article ; Online: Single and multi-frame auto-calibration for 3D endoscopy with differential rendering.

    Furukawa, Ryo / Sagawa, Ryusuke / Oka, Shiro / Tanaka, Shinji / Kawasaki, Hiroshi

    Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference

    2023  Volume 2023, Page(s) 1–5

    Abstract: The use of 3D measurement in endoscopic images offers practicality in cancer diagnosis, computer-assisted interventions, and making annotations for machine learning training data. An effective approach is the implementation of an active stereo system, ... ...

    Abstract The use of 3D measurement in endoscopic images offers practicality in cancer diagnosis, computer-assisted interventions, and making annotations for machine learning training data. An effective approach is the implementation of an active stereo system, using a micro-sized pattern projector and an endoscope camera, which has been intensively developed. One open problem for such a system is the necessity of strict and complex calibration of the projector-camera system to precisely recover the shapes. Moreover, since the head of an endoscope should have enough elasticity to avoid harming target objects, the positions of the pattern projector cannot be tightly fixed to the head, resulting in limited accuracy. A straightforward approach to the problem is applying auto-calibration. However, it requires special markers in the pattern or a highly accurate initial position for stable calibration, which is impractical for real operation. In the paper, we propose a novel auto-calibration method based on differential rendering techniques, which are recently proposed and drawing wide attention. To apply the method to an endoscopic system, where a diffractive optical element (DOE) is used, we propose a technique to simultaneously estimate the focal length of the DOE as well as the extrinsic parameters between a projector and a camera. We also propose a multi-frame optimization algorithm to jointly optimize the intrinsic and extrinsic parameters, relative pose between frames, and the entire shape.Clinical relevance- One-shot endoscopic measurement of depth information is a practical solution for cancer diagnosis, computer-assisted interventions, and making annotations for machine learning training data.
    MeSH term(s) Humans ; Calibration ; Imaging, Three-Dimensional/methods ; Endoscopes ; Endoscopy, Gastrointestinal ; Neoplasms
    Language English
    Publishing date 2023-12-11
    Publishing country United States
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ISSN 2694-0604
    ISSN (online) 2694-0604
    DOI 10.1109/EMBC40787.2023.10340381
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  6. Article: A Multielectrode Array-Based Recording System for Analyzing Ultrasound-Driven Neural Responses in Brain Slices

    Furukawa, Ryo / Kaneta, Hiroki / Tateno, Takashi

    Frontiers in neuroscience

    2022  Volume 16, Page(s) 824142

    Abstract: Ultrasound stimulation is expected to be useful for transcranial local and deep stimulation of the brain, which is difficult to achieve using conventional electromagnetic stimulation methods. Previous ultrasound stimulation experiments have used various ... ...

    Abstract Ultrasound stimulation is expected to be useful for transcranial local and deep stimulation of the brain, which is difficult to achieve using conventional electromagnetic stimulation methods. Previous ultrasound stimulation experiments have used various types of acute
    Language English
    Publishing date 2022-02-22
    Publishing country Switzerland
    Document type Journal Article
    ZDB-ID 2411902-7
    ISSN 1662-453X ; 1662-4548
    ISSN (online) 1662-453X
    ISSN 1662-4548
    DOI 10.3389/fnins.2022.824142
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  7. Article ; Online: Temporal and spatial profiles of evoked activity induced by magnetic stimulation using millimeter-sized coils in the mouse auditory cortex in vivo.

    Yoshikawa, Takahiro / Higuchi, Hisaya / Furukawa, Ryo / Tateno, Takashi

    Brain research

    2022  Volume 1796, Page(s) 148092

    Abstract: Transcranial magnetic stimulation (TMS), a minimally/non-invasive method of electromagnetic stimulation of brain tissue, has been shown to be beneficial in clinical therapy for specific neurological diseases and disorders. Magnetic stimulation is also ... ...

    Abstract Transcranial magnetic stimulation (TMS), a minimally/non-invasive method of electromagnetic stimulation of brain tissue, has been shown to be beneficial in clinical therapy for specific neurological diseases and disorders. Magnetic stimulation is also used to modulate human and animal brain activity in basic neuroscience studies. Among experimental animal models, mouse models are particularly popular and uniquely representative of brain disorders in basic neuroscience research. TMS in mouse models may play a substantial role in understanding TMS-induced changes in neural networks and plasticity. Although TMS techniques are widely used to examine rodent disease models, techniques specific for mice using small magnetic stimulators have not been intensively developed. Here, we provide a numerical simulation and a practical method of applying TMS to mice by constructing millimeter-sized TMS coils to deliver a low stimulation intensity while maintaining focality. Our results indicate the TMS coils can produce an electrical field with sufficient magnitude to activate the anesthetized mouse cortex in the presence or absence of the skull in vivo. Our results also show that, immediately after magnetic stimulation, local field and action potentials were reliably observed in a manner that depended on the distance between the coil and the brain, implying even a small coil could reliably evoke cortical activity. Therefore, our results show our millimeter-sized coils could produce electric fields sufficient to alter cortical excitability in mice. These coils could be useful in future preclinical studies to examine detailed mechanisms underlying TMS-induced changes in neural activity of the auditory cortex and other cortical regions.
    MeSH term(s) Animals ; Auditory Cortex/physiology ; Brain/physiology ; Humans ; Magnetic Phenomena ; Mice ; Rodentia ; Transcranial Magnetic Stimulation/methods
    Language English
    Publishing date 2022-09-15
    Publishing country Netherlands
    Document type Journal Article ; Research Support, Non-U.S. Gov't
    ZDB-ID 1200-2
    ISSN 1872-6240 ; 0006-8993
    ISSN (online) 1872-6240
    ISSN 0006-8993
    DOI 10.1016/j.brainres.2022.148092
    Database MEDical Literature Analysis and Retrieval System OnLINE

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  8. Book ; Online: Optimizing Implicit Neural Representations from Point Clouds via Energy-Based Models

    Yamauchi, Ryutaro / Sakurai, Jinya / Furukawa, Ryo / Matsubayashi, Tatsushi

    2023  

    Abstract: Reconstructing a continuous surface from an unoritented 3D point cloud is a fundamental task in 3D shape processing. In recent years, several methods have been proposed to address this problem using implicit neural representations (INRs). In this study, ... ...

    Abstract Reconstructing a continuous surface from an unoritented 3D point cloud is a fundamental task in 3D shape processing. In recent years, several methods have been proposed to address this problem using implicit neural representations (INRs). In this study, we propose a method to optimize INRs using energy-based models (EBMs). By employing the absolute value of the coordinate-based neural networks as the energy function, the INR can be optimized through the estimation of the point cloud distribution by the EBM. In addition, appropriate parameter settings of the EBM enable the model to consider the magnitude of point cloud noise. Our experiments confirmed that the proposed method is more robust against point cloud noise than conventional surface reconstruction methods.
    Keywords Computer Science - Computer Vision and Pattern Recognition ; Computer Science - Machine Learning
    Publishing date 2023-11-05
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Book ; Online: Heterogeneous Domain Adaptation with Positive and Unlabeled Data

    Mori, Junki / Furukawa, Ryo / Teranishi, Isamu / Sakuma, Jun

    2023  

    Abstract: Heterogeneous unsupervised domain adaptation (HUDA) is the most challenging domain adaptation setting where the feature spaces of source and target domains are heterogeneous, and the target domain has only unlabeled data. Existing HUDA methods assume ... ...

    Abstract Heterogeneous unsupervised domain adaptation (HUDA) is the most challenging domain adaptation setting where the feature spaces of source and target domains are heterogeneous, and the target domain has only unlabeled data. Existing HUDA methods assume that both positive and negative examples are available in the source domain, which may not be satisfied in some real applications. This paper addresses a new challenging setting called positive and unlabeled heterogeneous unsupervised domain adaptation (PU-HUDA), a HUDA setting where the source domain only has positives. PU-HUDA can also be viewed as an extension of PU learning where the positive and unlabeled examples are sampled from different domains. A naive combination of existing HUDA and PU learning methods is ineffective in PU-HUDA due to the gap in label distribution between the source and target domains. To overcome this issue, we propose a novel method, predictive adversarial domain adaptation (PADA), which can predict likely positive examples from the unlabeled target data and simultaneously align the feature spaces to reduce the distribution divergence between the whole source data and the likely positive target data. PADA achieves this by a unified adversarial training framework for learning a classifier to predict positive examples and a feature transformer to transform the target feature space to that of the source. Specifically, they are both trained to fool a common discriminator that determines whether the likely positive examples are from the target or source domain. We experimentally show that PADA outperforms several baseline methods, such as the naive combination of HUDA and PU learning.

    Comment: Accepted by IEEE Big Data 2023 as a regular paper
    Keywords Computer Science - Machine Learning
    Subject code 004
    Publishing date 2023-04-16
    Publishing country us
    Document type Book ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Immune-mediated necrotizing myopathy with concomitant development of Kikuchi-Fujimoto disease.

    Ichikawa, Takanori / Furukawa, Ryo / Shimojima, Yasuhiro / Hoshino, Yumi / Kishida, Dai / Sekijima, Yoshiki

    International journal of rheumatic diseases

    2023  Volume 27, Issue 1, Page(s) e14894

    Abstract: Immune-mediated necrotizing myopathy (IMNM) is a distinct type of idiopathic inflammatory myositis, pathologically characterized by myofiber necrosis and degeneration in the absence of lymphocyte infiltration. Herein, we present a case of IMNM with ... ...

    Abstract Immune-mediated necrotizing myopathy (IMNM) is a distinct type of idiopathic inflammatory myositis, pathologically characterized by myofiber necrosis and degeneration in the absence of lymphocyte infiltration. Herein, we present a case of IMNM with concomitant development of Kikuchi-Fujimoto disease (KFD), characterized by histiocytic necrotizing lymphadenitis, in a 36-year-old woman who had a treatment history for rheumatoid arthritis (RA). Treatment with oral prednisolone and tacrolimus as immunosuppressants resulted in the remission of the skeletomuscular involvement and lymphadenopathy. To the best of our knowledge, this is the first report of IMNM and KFD developing concomitantly during the clinical course of RA.
    MeSH term(s) Female ; Humans ; Adult ; Histiocytic Necrotizing Lymphadenitis/complications ; Histiocytic Necrotizing Lymphadenitis/diagnosis ; Histiocytic Necrotizing Lymphadenitis/drug therapy ; Prednisolone/therapeutic use ; Autoimmune Diseases/drug therapy ; Immunosuppressive Agents/therapeutic use ; Myositis/complications ; Myositis/diagnosis ; Myositis/drug therapy ; Arthritis, Rheumatoid/drug therapy
    Chemical Substances Prednisolone (9PHQ9Y1OLM) ; Immunosuppressive Agents
    Language English
    Publishing date 2023-08-31
    Publishing country England
    Document type Case Reports
    ZDB-ID 2426924-4
    ISSN 1756-185X ; 1756-1841
    ISSN (online) 1756-185X
    ISSN 1756-1841
    DOI 10.1111/1756-185X.14894
    Database MEDical Literature Analysis and Retrieval System OnLINE

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