Histogram Feature–Based Classification Improves Differentiability of Early Bone Healing Stages From Micro-Computed Tomographic Data

Preininger, Bernd; Hesse, Bernhard; Rohrbach, Daniel; Варга, П.; Gerigk, Hinnerk; Langer, Max; Peyrin, Françoise; Perka, Carsten; Raum, Kay

doi:10.1097/rct.0b013e31825eae8a

Cited by 3 publications

(1 citation statement)

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“…The test object was imaged at 0.7 µm pixel size with an X-ray energy of 22.5 keV, using four propagation distances (D = [2, 10, 20, 45] mm) and 1500 projections over a 180 • rotation. A bone sample from a rat osteotomy model [19] was imaged at 5 µm pixel size with an X-ray energy of 27 keV, three propagation distances (D = [60, 300, 999] mm) and 2000 projections over a 360 • rotation.…”

Section: (C) Imagingmentioning

confidence: 99%

Priors for X-ray in-line phase tomography of heterogeneous objects

Langer

Cloetens

Hesse

et al. 2014

Phil. Trans. R. Soc. A.

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We present a new prior for phase retrieval from X-ray Fresnel diffraction patterns. Fresnel diffraction patterns are achieved by letting a highly coherent X-ray beam propagate in free space after interaction with an object. Previously, either homogeneous or multi-material object assumptions have been used. The advantage of the homogeneous object assumption is that the prior can be introduced in the Radon domain. Heterogeneous object priors, on the other hand, have to be applied in the object domain. Here, we let the relationship between attenuation and refractive index vary as a function of the measured attenuation index. The method is evaluated using images acquired at beamline ID19 (ESRF, Grenoble, France) of a phantom where the prior is calculated by linear interpolation and of a healing bone obtained from a rat osteotomy model. It is shown that the ratio between attenuation and refractive index in bone for different levels of mineralization follows a power law. Reconstruction was performed using the mixed approach but is compatible with other, more advanced models. We achieve more precise reconstructions than previously reported in literature. We believe that the proposed method will find application in biomedical imaging problems where the object is strongly heterogeneous, such as bone healing and biomaterials engineering.

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Section: (C) Imagingmentioning

confidence: 99%