Zobrazeno 1 - 10
of 637
pro vyhledávání: '"Matsuda Tetsuya"'
Autor:
Yamamoto, Utako, Imai, Hirohiko, Sano, Kei, Ohzeki, Masayuki, Matsuda, Tetsuya, Tanaka, Toshiyuki
Publikováno v:
Expert Systems with Applications, Vol. 232 (2023) p. 120744
The objective of our study is to observe dynamics of multiple substances in vivo with high temporal resolution from multi-spectral magnetic resonance spectroscopic imaging (MRSI) data. The multi-spectral MRSI can effectively separate spectral peaks o
Externí odkaz:
http://arxiv.org/abs/2403.00402
Intraoperative shape reconstruction of organs from endoscopic camera images is a complex yet indispensable technique for image-guided surgery. To address the uncertainty in reconstructing entire shapes from single-viewpoint occluded images, we propos
Externí odkaz:
http://arxiv.org/abs/2301.10863
Deformable registration of two-dimensional/three-dimensional (2D/3D) images of abdominal organs is a complicated task because the abdominal organs deform significantly and their contours are not detected in two-dimensional X-ray images. We propose a
Externí odkaz:
http://arxiv.org/abs/2212.05445
Unsupervised image translation using adversarial learning has been attracting attention to improve the image quality of medical images. However, adversarial training based on the global evaluation values of discriminators does not provide sufficient
Externí odkaz:
http://arxiv.org/abs/2210.12578
Publikováno v:
IEEE Transactions on Medical Imaging, 2022
Organ shape reconstruction based on a single-projection image during treatment has wide clinical scope, e.g., in image-guided radiotherapy and surgical guidance. We propose an image-to-graph convolutional network that achieves deformable registration
Externí odkaz:
http://arxiv.org/abs/2111.00484
Autor:
Ueda, Masahito, Hidaka, Tatsuhiro, Ichihara, Naruki, Yang, Haiya, Iwase, Wataru, Matsuda, Tetsuya, Morita, Naoki, Aoki, Ryoma, Yokozeki, Tomohiro
Publikováno v:
In International Journal of Pressure Vessels and Piping April 2024 208
Autor:
Yamamoto, Utako, Nakao, Megumi, Ohzeki, Masayuki, Tokuno, Junko, Chen-Yoshikawa, Toyofumi Fengshi, Matsuda, Tetsuya
Publikováno v:
Expert Systems with Applications, 183(2021), 115288
In video-assisted thoracoscopic surgeries, successful procedures of nodule resection are highly dependent on the precise estimation of lung deformation between the inflated lung in the computed tomography (CT) images during preoperative planning and
Externí odkaz:
http://arxiv.org/abs/2102.12505
Autor:
Nakao, Megumi, Maekawa, Hinako, Mineura, Katsutaka, Chen-Yoshikawa, Toyofumi F., Date, Hiroshi, Matsuda, Tetsuya
In this study, we introduce statistical modeling methods for pneumothorax deformation using paired cone-beam computed tomography (CT) images. We designed a deformable mesh registration framework for shape changes involving non-linear deformation and
Externí odkaz:
http://arxiv.org/abs/2012.13237
Autor:
Nakao, Megumi, Kobayashi, Kotaro, Tokuno, Junko, Chen-Yoshikawa, Toyofumi, Date, Hiroshi, Matsuda, Tetsuya
Recent advances in imaging techniques have enabled us to visualize lung tumors or nodules in early-stage cancer. However, the positions of nodules can change because of intraoperative lung deflation, and the modeling of pneumothorax-associated deform
Externí odkaz:
http://arxiv.org/abs/2010.07509
The two-dimensional (2D) ultrasound imaging is widely used in several fields. In this study, the potential of two-dimensional ultrasound imaging technique based on machine learning is shown. A line transmitter was placed at one side and a receiver ar
Externí odkaz:
http://arxiv.org/abs/2004.08775