Multidetector Computed Tomography Imaging: Effect of Sparse Sampling and Iterative Reconstruction on Trabecular Bone Microstructure.

Mookiah, Muthu Rama Krishnan; Subburaj, Karupppasamy; Mei, Kai; Kopp, Felix K; Kaesmacher, Johannes; Jungmann, Pia M; Foehr, Peter; Noel, Peter B; Kirschke, Jan S; Baum, Thomas (2018). Multidetector Computed Tomography Imaging: Effect of Sparse Sampling and Iterative Reconstruction on Trabecular Bone Microstructure. Journal of computer assisted tomography, 42(3), pp. 441-447. Lippincott Williams & Wilkins 10.1097/RCT.0000000000000710

[img] Text
00004728-900000000-99276.pdf - Published Version
Restricted to registered users only
Available under License Publisher holds Copyright.

Download (734kB) | Request a copy

Multidetector computed tomography-based trabecular bone microstructure analysis ensures promising results in fracture risk prediction caused by osteoporosis. Because multidetector computed tomography is associated with high radiation exposure, its clinical routine use is limited. Hence, in this study, we investigated in 11 thoracic midvertebral specimens whether trabecular texture parameters are comparable derived from (1) images reconstructed using statistical iterative reconstruction (SIR) and filtered back projection as criterion standard at different exposures (80, 150, 220, and 500 mAs) and (2) from SIR-based sparse sampling projections (12.5%, 25%, 50%, and 100%) and equivalent exposures as criterion standard. Twenty-four texture features were computed, and those that showed similar values between (1) filtered back projection and SIR at the different exposure levels and (2) sparse sampling and equivalent exposures and reconstructed with SIR were identified. These parameters can be of equal value in determining trabecular bone microstructure with lower radiation exposure using sparse sampling and SIR.

Item Type:

Journal Article (Original Article)

Division/Institute:

04 Faculty of Medicine > Department of Head Organs and Neurology (DKNS) > Clinic of Neurology

UniBE Contributor:

Kaesmacher, Johannes

Subjects:

600 Technology > 610 Medicine & health

ISSN:

0363-8715

Publisher:

Lippincott Williams & Wilkins

Language:

English

Submitter:

Stefanie Hetzenecker

Date Deposited:

19 Apr 2018 16:14

Last Modified:

06 Nov 2019 07:32

Publisher DOI:

10.1097/RCT.0000000000000710

PubMed ID:

29489591

BORIS DOI:

10.7892/boris.112716

URI:

https://boris.unibe.ch/id/eprint/112716

Actions (login required)

Edit item Edit item
Provide Feedback