Clinical Super-Resolution Computed Tomography of Bone Microstructure: Application in Musculoskeletal and Dental Imaging

Approved

Classifications

MinEdu publication type
A1 Journal article (peer-reviewed)
Definition
Article
Target group
Scientific
Peer reviewed
Peer-reviewed
Article type
Journal article
Host publication type
Journal

Authors of the publication

Number of authors
13
Authors
Rytky, Santeri J O; Tiulpin, Aleksei; Finnilä, Mikko A J; Karhula, Sakari S; Sipola, Annina; Kurttila, Väinö; Valkealahti, Maarit; Lehenkari, Petri; Joukainen, Antti; Kröger, Heikki; Korhonen, Rami K; Saarakkala, Simo; Niinimäki, Jaakko

Publication channel information

Title of journal/series
Annals of biomedical engineering
ISSN (print)
0090-6964
ISSN (electronic)
1573-9686
ISSN (linking)
0090-6964
Publisher
Springer
Publication forum ID
51205
Publication forum level
2
Country of publication
United States
Internationality
Yes

Detailed publication information

Publication year
2024
Reporting year
2024
Journal/series volume number
52
Journal/series issue number
5
Page numbers
1255-1269
DOI
10.1007/s10439-024-03450-y
Language of publication
English

Co-publication information

International co-publication
No
Co-publication with a company
No

Availability

Link to self-archived version
https://urn.fi/URN:NBN:fi:oulu-202404082605

Classification and additional information

MinEdu field of science classification
217 Medical engineering, 3126 Surgery, anesthesiology, intensive care, radiology
Keywords
Computed tomography; Cone-beam computed tomography; Deep learning; Dental radiology; Musculoskeletal radiology; Super-resolution

Funding information

Funding information in the publication
Open Access funding provided by University of Oulu (including Oulu University Hospital). The financial support of the Academy of Finland (Grant Nos. 268378, and 303786); Sigrid Juselius Foundation; European Research Council under the European Union's Seventh Framework Programme (FP/2007-2013)/ERC Grant Agreement No. 336267; 6GESS Profiling Research Programme of the University of Oulu (Academy of Finland Project 336449); Instumentarium Science Foundation (Grant No. 200058); Finnish Cultural Foundation (Grant No. 00200953); and the strategic funding of University of Oulu are acknowledged. Funding sources are not associated with the scientific contents of the study.

Research data information

Research data information in the publication
Data generated or analyzed during the study are available from the corresponding author by reasonable request.

Source database ID

WoS ID
WOS:001162149200003
Scopus ID
2-s2.0-85185128137
Other database ID
PMID: 38361137