Zobrazeno 1 - 10
of 233
pro vyhledávání: '"Non-rigid image registration"'
Publikováno v:
IEEE Access, Vol 12, Pp 47915-47941 (2024)
The rapid evolution of neuroimaging techniques underscores the necessity for robust medical image registration algorithms, essential for the precise analysis of resting-state networks. This study introduces a comprehensive modular evaluation framewor
Externí odkaz:
https://doaj.org/article/99f4730745734c168c298d1890f10920
Autor:
Stefan Weick, Kathrin Breuer, Anne Richter, Florian Exner, Serge-Peer Ströhle, Paul Lutyj, Jörg Tamihardja, Simon Veldhoen, Michael Flentje, Bülent Polat
Publikováno v:
BMC Medical Imaging, Vol 20, Iss 1, Pp 1-10 (2020)
Abstract Background To increase the image quality of end-expiratory and end-inspiratory phases of retrospective respiratory self-gated 4D MRI data sets using non-rigid image registration for improved target delineation of moving tumors. Methods End-e
Externí odkaz:
https://doaj.org/article/0f475d77178f4cf489099d9b6d5c84ee
Autor:
Nazanin Tahmasebi, Pierre Boulanger, Jihyun Yun, Gino Fallone, Michelle Noga, Kumaradevan Punithakumar
Publikováno v:
IEEE Journal of Translational Engineering in Health and Medicine, Vol 8, Pp 1-8 (2020)
Objective: This study intends to develop an accurate, real-time tumor tracking algorithm for the automated radiation therapy for cancer treatment using Graphics Processing Unit (GPU) computing. Although a previous moving mesh based tumor tracking app
Externí odkaz:
https://doaj.org/article/e024500251324163bf0e0f16ae335059
Publikováno v:
工程科学学报, Vol 41, Iss 7, Pp 955-960 (2019)
With the rapid development of image registration technology, it is being widely used in the fields of medical image processing, remote sensing image analysis, computer vision, and others. Image registration involves two or more images that contain th
Externí odkaz:
https://doaj.org/article/d90921f2381c40aaaa7a6e7c419ef40f
Akademický článek
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Publikováno v:
Scopus
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Repositório Institucional da UNESP
Universidade Estadual Paulista (UNESP)
instacron:UNESP
Made available in DSpace on 2022-04-28T19:46:39Z (GMT). No. of bitstreams: 0 Previous issue date: 2022-01-01 Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq) Image registration is a commonly task in medical image analysis. There
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::9807aae337815c48781dc3d4fd22c210
https://doi.org/10.1007/s11042-021-11699-x
https://doi.org/10.1007/s11042-021-11699-x
Autor:
Mishre, A.S.D.S., Straat, M.E., Martinez-Tellez, B., Gutierrez, A.M., Kooijman, S., Boon, M.R., Dzyubachyk, O., Webb, A., Rensen, P.C.N., Kan, H.E.
Publikováno v:
Journal of Medical Systems, 46(12). SPRINGER
Infrared thermography (IRT) is widely used to assess skin temperature in response to physiological changes. Yet, it remains challenging to standardize skin temperature measurements over repeated datasets. We developed an open-access semi-automated se
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4a2ebfbaea13a63cb4e2bd362392b69b
https://hdl.handle.net/10481/78202
https://hdl.handle.net/10481/78202
Akademický článek
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Autor:
Anahita Fathi Fathi Kazerooni, Mahnaz Nabil, Elaheh Kia, Mahrooz Malek, Hamidreza Saligheh Rad
Publikováno v:
Frontiers in Biomedical Technologies, Vol 3, Iss 3-4 (2016)
Purpose: Quantification of dynamic contrast enhanced (DCE-) MRI of ovarian masses is susceptible to errors caused by motion artifacts and intensity inhomogeneity induced by bias fields. Motion artifacts and bias fields introduce signal intensity vari
Externí odkaz:
https://doaj.org/article/1cef402f6eba4da5adbe219f7b4b14be
Publikováno v:
Image Analysis and Stereology, Vol 23, Iss 2, Pp 111-120 (2011)
Automated segmentation of medical images is a difficult task because of the complexity of anatomic structures, inter-patient variability, and imperfect image acquisition. Prior knowledge, in the form of pointbased statistical shape models (point dist
Externí odkaz:
https://doaj.org/article/5ce10b2ca6594267a27e4690ab0c9405