Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Satoshi Sashida"'
Autor:
Akira Ikumi, Yuichi Yoshii, Yuta Iwahashi, Satoshi Sashida, Pragyan Shrestha, Chun Xie, Itaru Kitahara, Tomoo Ishii
Publikováno v:
Diagnostics, Vol 13, Iss 6, p 1141 (2023)
To improve the accuracy of a 3D bone position estimation system that displays 3D images in response to changes in the position of fluoroscopic images, modified markers using quick response (QR) codes were developed. The aims of this study were to ass
Externí odkaz:
https://doaj.org/article/7d4f128cb5ac49869881d7d8c823fbf6
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 14, Iss 1, Pp 1-7 (2019)
Abstract Background Recently, computerized virtual surgery planning has been increasingly applied in various orthopedic procedures. In this study, we developed an image fusion system for 3D preoperative planning and fluoroscopy for the osteosynthesis
Externí odkaz:
https://doaj.org/article/2944838ecab7435196ebd45df76c667c
Autor:
Yuichi Yoshii, Yuta Iwahashi, Satoshi Sashida, Pragyan Shrestha, Hidehiko Shishido, Itaru Kitahara, Tomoo Ishii
Publikováno v:
Diagnostics, Vol 12, Iss 9, p 2237 (2022)
To compare a 3D preoperative planning image and fluoroscopic image, a 3D bone position estimation system that displays 3D images in response to changes in the position of fluoroscopic images was developed. The objective of the present study was to ev
Externí odkaz:
https://doaj.org/article/68801a00ced447f987d3328ebeafa9be
Publikováno v:
Journal of Orthopaedic Surgery and Research, Vol 14, Iss 1, Pp 1-7 (2019)
Journal of Orthopaedic Surgery and Research
Journal of Orthopaedic Surgery and Research
Background Recently, computerized virtual surgery planning has been increasingly applied in various orthopedic procedures. In this study, we developed an image fusion system for 3D preoperative planning and fluoroscopy for the osteosynthesis. To asse
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::af1e5713ba3ad6a58ff7c7ebcc18b8a9
http://link.springer.com/article/10.1186/s13018-019-1370-z
http://link.springer.com/article/10.1186/s13018-019-1370-z
Publikováno v:
Computer Vision and Image Understanding. 152:176-189
The iterative Monte Carlo method is introduced for minimizing three-dimensional Mumford-Shah segmentation model.Make comparisons with several methods including the graph cuts method.Faster convergence and lower memory consumption are achieved.Propose
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::574f7fab2ca15a21f76bc9e10d3250f1
https://doi.org/10.1016/j.cviu.2016.06.001
https://doi.org/10.1016/j.cviu.2016.06.001
Publikováno v:
Computer Vision and Image Understanding. 119:15-26
The Mumford-Shah segmentation model is an energy model widely applied in computer vision. Many attempts have been made to minimize the energy of the model. We focus on recently proposed two methods for solving multi-phase segmentation; the graph cuts
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::661836fa42a034afbd4a8ef0870fa8e7
https://doi.org/10.1016/j.cviu.2013.11.001
https://doi.org/10.1016/j.cviu.2013.11.001
Publikováno v:
New Journal of Physics. 13:023004
Natural images are depicted in a computer as pixels on a square grid and neighboring pixels are generally highly correlated. This representation can be mapped naturally to a statistical physics framework on a square lattice. In this paper, we develop
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::594540963d23febd4e6631473975bd40
https://doi.org/10.1088/1367-2630/13/2/023004
https://doi.org/10.1088/1367-2630/13/2/023004