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  1. Article ; Online: [[MRI] 2. Recent Research on MR Image Reconstruction Using Artificial Intelligence].

    Takeshima, Hidenori

    Nihon Hoshasen Gijutsu Gakkai zasshi

    2023  Volume 79, Issue 8, Page(s) 863–869

    MeSH term(s) Artificial Intelligence ; Magnetic Resonance Imaging ; Image Processing, Computer-Assisted
    Language Japanese
    Publishing date 2023-08-16
    Publishing country Japan
    Document type Journal Article
    ZDB-ID 2269092-X
    ISSN 1881-4883 ; 0369-4305
    ISSN (online) 1881-4883
    ISSN 0369-4305
    DOI 10.6009/jjrt.2023-2236
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  2. Article ; Online: A fast and practical computation method for magnetic resonance simulators.

    Takeshima, Hidenori

    Magnetic resonance in medicine

    2023  Volume 90, Issue 2, Page(s) 752–760

    Abstract: Purpose: This work aims to develop a fast and practical computation method for MR simulations. The computational cost of MR simulations is often high because magnetizations of many isochromats are updated using a small step size on the order of ... ...

    Abstract Purpose: This work aims to develop a fast and practical computation method for MR simulations. The computational cost of MR simulations is often high because magnetizations of many isochromats are updated using a small step size on the order of microseconds. There are two types of subsequences to be processed for the simulations: subsequences with and without RF pulses. While straightforward implementations spend most of their time calculating subsequences with RF pulses, there is a method which efficiently reuses the computation for repetitive RF pulses.
    Theory and methods: A new method for efficiently processing subsequences with RF pulses is proposed. Rather than using an iterative update approach, the proposed method computes the combined transition which combines all transitions applied iteratively for each subsequence with RF pulses. The combined transition is used again when the same subsequence is used later. The combined transitions are cached and managed using a least recently used algorithm.
    Results: The proposed method was found to accelerate the simulation by ˜20 times when 3.9 million isochromats were simulated using spin-echo sequences. Even on a laptop computer, the proposed method was able to simulate these sequences in ˜3.5 min.
    Conclusion: An efficient method for simulating pulse sequences is proposed. The proposed method computes and manages combined transitions, making MR simulation practical on a wide range of computers, including laptops.
    MeSH term(s) Image Processing, Computer-Assisted/methods ; Phantoms, Imaging ; Radio Waves ; Magnetic Resonance Imaging/methods ; Computer Simulation ; Algorithms ; Magnetic Resonance Spectroscopy
    Language English
    Publishing date 2023-04-15
    Publishing country United States
    Document type Journal Article
    ZDB-ID 605774-3
    ISSN 1522-2594 ; 0740-3194
    ISSN (online) 1522-2594
    ISSN 0740-3194
    DOI 10.1002/mrm.29646
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  3. Article ; Online: Agricultural mechanisation and gendered labour activities across sectors

    Takeshima, Hiroyuki

    Journal of Agricultural Economics

    Micro-evidence from multi-country farm household data

    2023  

    Keywords agriculture ; combine harvesters ; data ; employment ; farm size ; female labour ; gender ; households ; livelihoods ; tractors
    Language English
    Publishing date 2023-08-21T18:27:58Z
    Publisher Wiley
    Publishing country fr
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  4. Conference proceedings ; Online: Seed certification and maize, rice and cowpea productivity in Nigeria

    Takeshima, Hiroyuki

    An insight based on nationally representative farm household data and seed company location data

    2023  

    Keywords seed certification ; maize ; rice ; cowpeas ; households
    Language English
    Publishing date 2023-12-19T19:20:34Z
    Publisher International Food Policy Research Institute
    Publishing country fr
    Document type Conference proceedings ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  5. Article ; Online: Deep Learning and Its Application to Function Approximation for MR in Medicine: An Overview.

    Takeshima, Hidenori

    Magnetic resonance in medical sciences : MRMS : an official journal of Japan Society of Magnetic Resonance in Medicine

    2021  Volume 21, Issue 4, Page(s) 553–568

    Abstract: This article presents an overview of deep learning (DL) and its applications to function approximation for MR in medicine. The aim of this article is to help readers develop various applications of DL. DL has made a large impact on the literature of many ...

    Abstract This article presents an overview of deep learning (DL) and its applications to function approximation for MR in medicine. The aim of this article is to help readers develop various applications of DL. DL has made a large impact on the literature of many medical sciences, including MR. However, its technical details are not easily understandable for non-experts of machine learning (ML).The first part of this article presents an overview of DL and its related technologies, such as artificial intelligence (AI) and ML. AI is explained as a function that can receive many inputs and produce many outputs. ML is a process of fitting the function to training data. DL is a kind of ML, which uses a composite of many functions to approximate the function of interest. This composite function is called a deep neural network (DNN), and the functions composited into a DNN are called layers. This first part also covers the underlying technologies required for DL, such as loss functions, optimization, initialization, linear layers, non-linearities, normalization, recurrent neural networks, regularization, data augmentation, residual connections, autoencoders, generative adversarial networks, model and data sizes, and complex-valued neural networks.The second part of this article presents an overview of the applications of DL in MR and explains how functions represented as DNNs are applied to various applications, such as RF pulse, pulse sequence, reconstruction, motion correction, spectroscopy, parameter mapping, image synthesis, and segmentation.
    MeSH term(s) Artificial Intelligence ; Deep Learning ; Machine Learning ; Neural Networks, Computer
    Language English
    Publishing date 2021-09-17
    Publishing country Japan
    Document type Journal Article ; Review
    ZDB-ID 2217833-8
    ISSN 1880-2206 ; 1880-2206
    ISSN (online) 1880-2206
    ISSN 1880-2206
    DOI 10.2463/mrms.rev.2021-0040
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  6. Article ; Online: Aliasing layers for processing parallel imaging and EPI ghost artifacts efficiently in convolutional neural networks.

    Takeshima, Hidenori

    Magnetic resonance in medicine

    2021  Volume 86, Issue 2, Page(s) 820–834

    Abstract: Purpose: The purposes of this work are to develop a method for efficiently processing MR-specific artifacts using a convolutional neural network (CNN), and to present its applications for the removal of the artifacts without suppressing actual signals. ... ...

    Abstract Purpose: The purposes of this work are to develop a method for efficiently processing MR-specific artifacts using a convolutional neural network (CNN), and to present its applications for the removal of the artifacts without suppressing actual signals. In MR images that are acquired using parallel imaging and/or EPI, the locations of aliasing artifacts and/or N-half ghost artifacts can be analytically calculated. However, existing methods using CNNs do not take the structures of the artifacts into account, and therefore need a large number of convolution layers for processing the artifacts.
    Methods: For processing the artifacts, a new layer that is named the aliasing layer (AL) is proposed. Because a CNN stands on the assumption that an image has spatial locality, a convolution layer is formulated as a linear function of neighbor locations. For processing the artifacts, the AL preprocesses MR images by moving the calculated locations to the locations accessible through summations over all channels in a standard convolution layer. To evaluate the application of ALs for the removal of parallel imaging and EPI artifacts, CNNs with ALs were compared with those without ALs.
    Results: The results showed that image-quality metrics of a six-layer CNN with ALs were better than those of a 12-layer CNN without ALs. The results also showed that CNNs with ALs suppressed the artifacts selectively.
    Conclusion: The aliasing layer is proposed for processing MR-specific artifacts efficiently. The experimental results demonstrated that the AL improved CNNs for removing artifacts from parallel imaging and EPI.
    MeSH term(s) Artifacts ; Image Processing, Computer-Assisted ; Magnetic Resonance Imaging ; Neural Networks, Computer
    Language English
    Publishing date 2021-03-14
    Publishing country United States
    Document type Journal Article
    ZDB-ID 605774-3
    ISSN 1522-2594 ; 0740-3194
    ISSN (online) 1522-2594
    ISSN 0740-3194
    DOI 10.1002/mrm.28758
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  7. Article ; Online: Agrifood market participation and household livelihood diversification

    Takeshima, Hiroyuki

    Journal of Developing Areas 56(4): 217-230

    Evidence from Vietnam

    2022  

    Abstract: PR ... IFPRI3; 3 Building Inclusive and Efficient Markets, Trade Systems, and Food Industry; 4 Transforming Agricultural and Rural Economies; CRP2 ... DSGD; PIM ...

    Abstract PR

    IFPRI3; 3 Building Inclusive and Efficient Markets, Trade Systems, and Food Industry; 4 Transforming Agricultural and Rural Economies; CRP2

    DSGD; PIM

    CGIAR Research Program on Policies, Institutions, and Markets (PIM)
    Keywords VIET NAM ; VIETNAM ; SOUTH EAST ASIA ; ASIA ; agrifood sector ; smallholders ; households ; economic shock ; climate change ; economics ; consumption ; diversification ; labour productivity ; gender ; income ; food systems ; agrifood market ; smallholder farm households (SFHs) ; economies of scope (EOS)
    Language English
    Publisher Tennessee State University
    Publishing country us
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  8. Book ; Article ; Online: Public-sector maize research locations and spatial heterogeneity in maize productivity

    Takeshima, Hiroyuki

    Insights from four African countries on the roles of agroclimatic similarity

    2021  

    Abstract: Agricultural research and development (R&D) is one component of public investments in the agricultural sector toward food system transformation. Enhancing the effectiveness of agricultural R&D remains critical, given increasingly scarce public resources. ...

    Abstract Agricultural research and development (R&D) is one component of public investments in the agricultural sector toward food system transformation. Enhancing the effectiveness of agricultural R&D remains critical, given increasingly scarce public resources. Exploring spatial spillover potentials has been one way to enhance the effectiveness of agricultural R&D. Geographical locations of National Agricultural Research Systems (NARS) research activities are recognized as an important factor affecting such spatial spillover potentials. However, evidence is generally limited in Africa south of Sahara (SSA) as to the spillover potentials of NARS-developed technologies. This paper partly aims to fill this knowledge gap by obtaining insights for maize, one of the most commonly grown crops in SSA, using nationally representative farm household data for Ethiopia, Ghana, Nigeria, and Uganda, and spatial agroclimatic data. Building on recent literature, this study proxies spillover potentials by “agroclimatic similarity” (AS) indicators between locations where agricultural R&D for maize is conducted by NARS (research locations) and where each farm household is located (farm locations). Results of the analyses suggest that an indicator of the total factor productivity of maize growing farm households, the land productivity of maize, and the use of improved maize varieties are generally higher in farm locations that share similar agroclimatic conditions with maize research locations of NARS. These patterns hold for all four countries studied, even after controlling for the physical proximity to maize research stations and other farm household characteristics. The findings contribute to better understanding of how geographic locations of public investments affect their overall effectiveness as well as returns in maize production and the agricultural sector in general.

    Non-PR

    IFPRI1; CRP2; 1 Fostering Climate-Resilient and Sustainable Food Supply; 4 Transforming Agricultural and Rural Economies

    DSGD; PIM ...
    Keywords ETHIOPIA ; GHANA ; NIGERIA ; UGANDA ; WEST AFRICA ; EAST AFRICA ; AFRICA SOUTH OF SAHARA ; AFRICA ; maize ; public sector ; research ; agricultural research ; agricultural productivity ; agroclimatology ; agricultural research and development ; agroclimatic similarity
    Subject code 306
    Language English
    Publisher International Food Policy Research Institute (IFPRI)
    Publishing country us
    Document type Book ; Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  9. Article ; Online: Agriculture in South Asia

    Takeshima, Hiroyuki

    In Transforming Agriculture in South Asia: The Role of Value Chains and Contract Farming, eds. Ashok K. Mishra, Anjani Kumar, Pramod K. Joshi. Part One: Understanding the Agricultural Sector, Transformation, Value Chains and Contract Farming, Chapter 2, Pp. 13-29

    Trends and prospects

    2021  

    Abstract: PR ... IFPRI4 ... ...

    Abstract PR

    IFPRI4

    DSGD
    Keywords SOUTH ASIA ; ASIA ; agriculture ; value chains ; farming ; contract farming ; agricultural sector
    Language English
    Publisher Routledge
    Publishing country us
    Document type Article ; Online
    Database BASE - Bielefeld Academic Search Engine (life sciences selection)

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  10. Article ; Online: Split-based elevational localization of photoacoustic guidewire tip by 1D array probe using spatial impulse response.

    Tanaka, Tomohiko / Imai, Ryo / Takeshima, Hirozumi

    Physics in medicine and biology

    2024  Volume 69, Issue 6

    Abstract: ... ...

    Abstract Objective
    MeSH term(s) Ultrasonography/methods ; Phantoms, Imaging ; Transducers ; Algorithms ; Equipment Design
    Language English
    Publishing date 2024-03-19
    Publishing country England
    Document type Journal Article
    ZDB-ID 208857-5
    ISSN 1361-6560 ; 0031-9155
    ISSN (online) 1361-6560
    ISSN 0031-9155
    DOI 10.1088/1361-6560/ad27fe
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