Search Results - "Takegawa, Hideki"

Refine Results
  1. 1
  2. 2

    Evaluation approach for whole dose distribution in clinical cases using spherical projection and spherical harmonics expansion: spherical coefficient tensor and score method by Anetai, Yusuke, Koike, Yuhei, Takegawa, Hideki, Nakamura, Satoaki, Tanigawa, Noboru

    Published in Journal of radiation research (01-11-2021)
    “…Whole dose distribution results from well-conceived treatment plans including patient-specific (location, size and shape of tumor, etc.) and facility-specific…”
    Get full text
    Journal Article
  3. 3

    Deep learning-based metal artifact reduction using cycle-consistent adversarial network for intensity-modulated head and neck radiation therapy treatment planning by Koike, Yuhei, Anetai, Yusuke, Takegawa, Hideki, Ohira, Shingo, Nakamura, Satoaki, Tanigawa, Noboru

    Published in Physica medica (01-10-2020)
    “…•Deep learning (DL)-based metal artifact reduction (MAR) using unpaired data.•CycleGAN reduced dental implant-induced metal artifacts within a few…”
    Get full text
    Journal Article
  4. 4

    Monte Carlo Modeling of the Agility MLC for IMRT and VMAT Calculations by OHIRA, SHINGO, TAKEGAWA, HIDEKI, MIYAZAKI, MASAYOSHI, KOIZUMI, MASAHIKO, TESHIMA, TERUKI

    Published in In vivo (Athens) (01-09-2020)
    “…Background/Aim: The Purpose of this study was to develop a Monte Carlo (MC) model for the Agility multileaf collimator (MLC) mounted and to validate its…”
    Get full text
    Journal Article
  5. 5

    Clinical target volume segmentation based on gross tumor volume using deep learning for head and neck cancer treatment by Kihara, Sayaka, Koike, Yuhei, Takegawa, Hideki, Anetai, Yusuke, Nakamura, Satoaki, Tanigawa, Noboru, Koizumi, Masahiko

    “…Accurate clinical target volume (CTV) delineation is important for head and neck intensity-modulated radiation therapy. However, delineation is time-consuming…”
    Get full text
    Journal Article
  6. 6

    Artificial intelligence-aided lytic spinal bone metastasis classification on CT scans by Koike, Yuhei, Yui, Midori, Nakamura, Satoaki, Yoshida, Asami, Takegawa, Hideki, Anetai, Yusuke, Hirota, Kazuki, Tanigawa, Noboru

    “…Purpose Spinal bone metastases directly affect quality of life, and patients with lytic-dominant lesions are at high risk for neurological symptoms and…”
    Get full text
    Journal Article
  7. 7

    Novel angular evaluation method for radiation field using Lie derivative by Anetai, Yusuke, Kinami, Shinji, Koike, Yuhei, Kamojima, Takeo, Yokoi, Masanori, Nishikawa, Toshiyuki, Hirokawa, Keiko, Ishii, Yoshie, Takegawa, Hideki

    Published in Journal of the Korean Physical Society (01-12-2022)
    “…In radiotherapy, quality assurance (QA) for beam delivery from linear accelerator (linac) of treatment machine is a highly crucial factor for accurate…”
    Get full text
    Journal Article
  8. 8
  9. 9
  10. 10

    Development and reproducibility evaluation of a Monte Carlo-based standard LINAC model for quality assurance of multi-institutional clinical trials by Usmani, Muhammad Nauman, Takegawa, Hideki, Takashina, Masaaki, Numasaki, Hodaka, Suga, Masaki, Anetai, Yusuke, Kurosu, Keita, Koizumi, Masahiko, Teshima, Teruki

    Published in Journal of radiation research (01-11-2014)
    “…Technical developments in radiotherapy (RT) have created a need for systematic quality assurance (QA) to ensure that clinical institutions deliver prescribed…”
    Get full text
    Journal Article
  11. 11
  12. 12

    Extracting the gradient component of the gamma index using the Lie derivative method by Anetai, Yusuke, Doi, Kentaro, Takegawa, Hideki, Koike, Yuhei, Nishio, Teiji, Nakamura, Mitsuhiro

    Published in Physics in medicine & biology (07-10-2023)
    “… The gamma index ( ) has been extensively investigated in the medical physics and applied in clinical practice. However, has a significant limitation when…”
    Get more information
    Journal Article
  13. 13
  14. 14

    New technology in radiotherapy treatment planning by Takegawa, Hideki

    “…Four-dimensional radiation therapy (4DRT) and adaptive radiation therapy (ART) are treatments to account for respiratory motion and anatomical changes during a…”
    Get more information
    Journal Article
  15. 15

    Synthetic Low-Energy Monochromatic Image Generation in Single-Energy Computed Tomography System Using a Transformer-Based Deep Learning Model by Koike, Yuhei, Ohira, Shingo, Kihara, Sayaka, Anetai, Yusuke, Takegawa, Hideki, Nakamura, Satoaki, Miyazaki, Masayoshi, Konishi, Koji, Tanigawa, Noboru

    Published in Journal of digital imaging (01-10-2024)
    “…While dual-energy computed tomography (DECT) technology introduces energy-specific information in clinical practice, single-energy CT (SECT) is predominantly…”
    Get full text
    Journal Article
  16. 16

    Deep learning-based detection of patients with bone metastasis from Japanese radiology reports by Doi, Kentaro, Takegawa, Hideki, Yui, Midori, Anetai, Yusuke, Koike, Yuhei, Nakamura, Satoaki, Tanigawa, Noboru, Koziumi, Masahiko, Nishio, Teiji

    Published in Japanese journal of radiology (01-08-2023)
    “…Purpose Deep learning (DL) is a state-of-the-art technique for developing artificial intelligence in various domains and it improves the performance of natural…”
    Get full text
    Journal Article
  17. 17

    Patient-specific three-dimensional dose distribution prediction via deep learning for prostate cancer therapy: Improvement with the structure loss by Koike, Yuhei, Takegawa, Hideki, Anetai, Yusuke, Ohira, Shingo, Nakamura, Satoaki, Tanigawa, Noboru

    Published in Physica medica (01-03-2023)
    “…•A deep learning-based method was developed for VMAT dose distribution.•A structure loss (Lstruct) was proposed to calculate errors per input contour…”
    Get full text
    Journal Article
  18. 18
  19. 19

    Cone-Beam CT to CT Image Translation Using a Transformer-Based Deep Learning Model for Prostate Cancer Adaptive Radiotherapy by Koike, Yuhei, Takegawa, Hideki, Anetai, Yusuke, Nakamura, Satoaki, Yoshida, Ken, Yoshida, Asami, Yui, Midori, Hirota, Kazuki, Ueda, Kenichi, Tanigawa, Noboru

    Published in Journal of imaging informatics in medicine (07-11-2024)
    “…Cone-beam computed tomography (CBCT) is widely utilized in image-guided radiation therapy; however, its image quality is poor compared to planning CT (pCT),…”
    Get full text
    Journal Article
  20. 20