Virtual supersampling as post-processing step preserves the trabecular bone morphometry in human peripheral quantitative computed tomography scans
Loading...
Authors
Schulte, Friederike A.
Badilatti, Sandro D.
Parkinson, Ian
Khosla, Sundeep
Goldhahn, Jörg
Müller, Ralph
Author (Corporation)
Publication date
2019
Typ of student thesis
Course of study
Collections
Type
01A - Journal article
Editors
Editor (Corporation)
Supervisor
Parent work
PLOS ONE
Special issue
DOI of the original publication
Link
Series
Series number
Volume
14
Issue / Number
2
Pages / Duration
22-48
Patent number
Publisher / Publishing institution
Public Library of Science
Place of publication / Event location
Edition
Version
Programming language
Assignee
Practice partner / Client
Abstract
In the clinical field of diagnosis and monitoring of bone diseases, high-resolution peripheral quantitative computed tomography (HR-pQCT) is an important imaging modality. It provides a resolution where quantitative bone morphometry can be extracted in vivo on patients. It is known that HR-pQCT provides slight differences in morphometric indices compared to the current standard approach micro-computed tomography (micro-CT). The most obvious reason for this is the restriction of the radiation dose and with this a lower image resolution. With advances in micro-CT evaluation techniques such as patient-specific remodeling simulations or dynamic bone morphometry, a higher image resolution would potentially also allow the application of such novel evaluation techniques to clinical HR-pQCT measurements. Virtual supersampling as post-processing step was considered to increase the image resolution of HR-pQCT scans. The hypothesis was that this technique preserves the structural bone morphometry. Supersampling from 82
Keywords
Subject (DDC)
330 - Wirtschaft
Event
Exhibition start date
Exhibition end date
Conference start date
Conference end date
Date of the last check
ISBN
ISSN
1932-6203
Language
English
Created during FHNW affiliation
Yes
Strategic action fields FHNW
Publication status
Published
Review
Peer review of the complete publication
Open access category
Gold
Citation
SCHULTE, Friederike A., Patrik CHRISTEN, Sandro D. BADILATTI, Ian PARKINSON, Sundeep KHOSLA, Jörg GOLDHAHN und Ralph MÜLLER, 2019. Virtual supersampling as post-processing step preserves the trabecular bone morphometry in human peripheral quantitative computed tomography scans. PLOS ONE. 2019. Bd. 14, Nr. 2, S. 22–48. DOI 10.1371/journal.pone.0212280. Verfügbar unter: https://doi.org/10.26041/fhnw-6551