Multimodal imaging of the human knee down to the cellular level

DOI: 10.1088/1742-6596/849/1/012026

Authors: G. Schulz (University of Basel) , C Gotz (University of Basel) , M. Muller-Gerbl (University of Basel) , I. Zanette (Diamond Light Source) , M.-C. Zdora (Diamond Light Source) , A. Khimchenko (University of Basel) , H. Deyhle (University of Basel) , P. Thalmann (University of Basel) , B. Muller (University of Basel)
Co-authored by industrial partner: No

Type: Conference Paper
Conference: X-Ray Microscopy Conference 2016 (XRM 2016)
Peer Reviewed: No

State: Published (Approved)
Published: June 2017
Diamond Proposal Number(s): 13210

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.

Subject Areas: Biology and Bio-materials


Instruments: I13-2-Diamond Manchester Imaging

Added On: 22/06/2017 10:10

Documents:
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Discipline Tags:

Life Sciences & Biotech

Technical Tags:

Imaging Tomography