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Multimodal imaging of the human knee down to the cellular level

Multimodal imaging of the human knee down to the cellular level
Multimodal imaging of the human knee down to the cellular level

Computed tomography reaches the best spatial resolution for the three-dimensional visualization of human tissues among the available nondestructive clinical imaging techniques. Nowadays, sub-millimeter voxel sizes are regularly obtained. Regarding investigations on true micrometer level, lab-based micro-CT (μCT) has become gold standard. The aim of the present study is firstly the hierarchical investigation of a human knee post mortem using hard X-ray μCT and secondly a multimodal imaging using absorption and phase contrast modes in order to investigate hard (bone) and soft (cartilage) tissues on the cellular level. After the visualization of the entire knee using a clinical CT, a hierarchical imaging study was performed using the lab-system nanotom® m. First, the entire knee was measured with a pixel length of 65 μm. The highest resolution with a pixel length of 3 μm could be achieved after extracting cylindrically shaped plugs from the femoral bones. For the visualization of the cartilage, grating-based phase contrast μCT (I13-2, Diamond Light Source) was performed. With an effective voxel size of 2.3 μm it was possible to visualize individual chondrocytes within the cartilage.

1742-6588
Schulz, G.
a7c5f1c6-ed5d-4542-ac5c-b48286ea3788
Götz, C.
76b6c744-0798-479c-863a-9bf61a66b792
Müller-Gerbl, M.
366449c8-781b-4713-abaa-7abfd3ecd489
Zanette, I.
39ee899c-0aae-4fac-aec6-826f848a8022
Zdora, M. C.
a2e3b04b-aef4-42f8-9e96-4707149589fb
Khimchenko, A.
0e5a39eb-9502-415e-9eaf-5786af3c32b9
Deyhle, H.
aba9cd34-97a0-4238-8255-af673e3beb1a
Thalmann, P.
1eeb6c4a-6982-4c0a-88cc-b4919b4600b9
Müller, B.
3e312bbe-1e4e-4145-8a7a-4240adf15b41
Schulz, G.
a7c5f1c6-ed5d-4542-ac5c-b48286ea3788
Götz, C.
76b6c744-0798-479c-863a-9bf61a66b792
Müller-Gerbl, M.
366449c8-781b-4713-abaa-7abfd3ecd489
Zanette, I.
39ee899c-0aae-4fac-aec6-826f848a8022
Zdora, M. C.
a2e3b04b-aef4-42f8-9e96-4707149589fb
Khimchenko, A.
0e5a39eb-9502-415e-9eaf-5786af3c32b9
Deyhle, H.
aba9cd34-97a0-4238-8255-af673e3beb1a
Thalmann, P.
1eeb6c4a-6982-4c0a-88cc-b4919b4600b9
Müller, B.
3e312bbe-1e4e-4145-8a7a-4240adf15b41

Schulz, G., Götz, C., Müller-Gerbl, M., Zanette, I., Zdora, M. C., Khimchenko, A., Deyhle, H., Thalmann, P. and Müller, B. (2017) Multimodal imaging of the human knee down to the cellular level. Journal of Physics: Conference Series, 849, [012026]. (doi:10.1088/1742-6596/849/1/012026).

Record type: Article

Abstract

Computed tomography reaches the best spatial resolution for the three-dimensional visualization of human tissues among the available nondestructive clinical imaging techniques. Nowadays, sub-millimeter voxel sizes are regularly obtained. Regarding investigations on true micrometer level, lab-based micro-CT (μCT) has become gold standard. The aim of the present study is firstly the hierarchical investigation of a human knee post mortem using hard X-ray μCT and secondly a multimodal imaging using absorption and phase contrast modes in order to investigate hard (bone) and soft (cartilage) tissues on the cellular level. After the visualization of the entire knee using a clinical CT, a hierarchical imaging study was performed using the lab-system nanotom® m. First, the entire knee was measured with a pixel length of 65 μm. The highest resolution with a pixel length of 3 μm could be achieved after extracting cylindrically shaped plugs from the femoral bones. For the visualization of the cartilage, grating-based phase contrast μCT (I13-2, Diamond Light Source) was performed. With an effective voxel size of 2.3 μm it was possible to visualize individual chondrocytes within the cartilage.

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More information

Published date: 14 June 2017
Venue - Dates: 13th International X-ray Microscopy Conference, XRM 2016, , Oxford, United Kingdom, 2016-08-15 - 2016-08-19

Identifiers

Local EPrints ID: 439253
URI: http://eprints.soton.ac.uk/id/eprint/439253
ISSN: 1742-6588
PURE UUID: 328da1d9-86b9-4ac0-bea8-45187e17c457

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Date deposited: 07 Apr 2020 16:31
Last modified: 05 Jun 2024 17:20

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Contributors

Author: G. Schulz
Author: C. Götz
Author: M. Müller-Gerbl
Author: I. Zanette
Author: M. C. Zdora
Author: A. Khimchenko
Author: H. Deyhle
Author: P. Thalmann
Author: B. Müller

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