Options and limitations of joint cartilage imaging: DEI in comparison to MRI and sonography

Wagner, Andreas; Aurich, Matthias; Sieber, Norbert; Stoessel, Marie; Wetzel, Wolf D.; Schmuck, K.; Lohmann, Michael; Reime, B.; Metge, J.; Coan, Paola; Bravin, A.; Arfelli, Fulvia; Rigon, Luigi; Menk, R.H.; Heitner, Gabriele; Irving, T.; Zhong, Z.; Muehleman, Carol; Mollenhauer, J.

doi:10.1016/j.nima.2005.03.064

Cited by 25 publications

(19 citation statements)

References 9 publications

Supporting

Mentioning

Contrasting

Unclassified

Order By: Relevance

“…This leads to significant image enhancements: increased visibility of all details, and possible detection of features classically considered invisible. [1][2][3][4][5] As a consequence of this, a multitude of different applications have been proposed -primarily in medical imaging, [4][5][6][7][8][9][10][11][12] including in vivo, 12 but also in fields as diverse as material science, [13][14][15][16] cultural heritage preservation, 17,18 homeland security, 19 and others.…”

Section: Introductionmentioning

confidence: 99%

Effects of signal diffusion on x-ray phase contrast images

Ignatyev¹,

Munro²,

Speller³

et al. 2011

Review of Scientific Instruments

View full text Add to dashboard Cite

We discuss the problem of signal diffusion among neighbouring pixels in x-ray phase contrast imaging (XPCi) specifically for coded-aperture (CA) XPCi, but many of the discussed observations are directly transferable to other XPCi modalities. CA XPCi exploits the principle of pixel edge illumination by means of two CA masks. The first mask, placed in contact with the detector, creates insensitive regions between adjacent pixels; the second one, placed immediately before the sample, creates individual beams impinging on the boundaries between sensitive and insensitive regions on the detector, as created by the detector mask. In this way, edge illumination is achieved for all pixels of an area detector illuminated by a divergent and polychromatic beam generated by a conventional source. As the detector mask redefines the resolution properties of the detector, sample dithering can be used to effectively increase the system spatial resolution, without having to apply any post-processing procedure (e.g., deconvolution). This however creates artifacts in the form of secondary fringes (which have nothing to do with phase-related secondary fringes) if there is signal diffusion between adjacent pixels. In non-dithered images, signal diffusion between adjacent pixels causes a reduction in image contrast. This effect is investigated both theoretically and experimentally, and its direct implications on image quality are discussed. The interplay with the sample positioning with respect to the detector pixel matrix, which also has an effect on the obtained image contrast, is also discussed.

show abstract

Section: Introductionmentioning

confidence: 99%

Effects of signal diffusion on x-ray phase contrast images

Ignatyev¹,

Munro²,

Speller³

et al. 2011

Review of Scientific Instruments

View full text Add to dashboard Cite

show abstract

“…The changes to cartilage may be identified in early stages before irreparable damage occurs. [45][46][47] This ability to image and quantitatively analyze cartilage structure with X-ray PC imaging suggests a significant potential for use in evaluating cartilage tissue engineering strategies.…”

Section: Orthopedic Tissuesmentioning

confidence: 99%

Potential for Imaging Engineered Tissues with X-Ray Phase Contrast

Appel

Anastasio

Brey

2011

Tissue Engineering Part B: Reviews

View full text Add to dashboard Cite

“…Measurements have been performed on human articular cartilage in disarticulated, as well as in intact joints [42]. Cartilage defects, even at early stages of development, have been studied and compared with the absorption images: they show a clear, early visualization of the damage [43].…”

Section: Analyser Based Imagingmentioning

confidence: 99%