Crystal analyser-based X-ray phase contrast imaging in the dark field: Implementation and evaluation using excised tissue specimens

Masami Ando, Naoki Sunaguchi, Yanlin Wu, Synho Do, Yongjin Sung, Abner Louissaint, Tetsuya Yuasa, Shu Ichihara, Rajiv Gupta

Research output: Contribution to journalArticlepeer-review

15 Citations (Scopus)

Abstract

Objectives: We demonstrate the soft tissue discrimination capability of X-ray dark-field imaging (XDFI) using a variety of human tissue specimens. Methods: The experimental setup for XDFI comprises an X-ray source, an asymmetrically cut Bragg-type monochromator-collimator (MC), a Laue-case angle analyser (LAA) and a CCD camera. The specimen is placed between the MC and the LAA. For the light source, we used the beamline BL14C on a 2.5-GeV storage ring in the KEK Photon Factory, Tsukuba, Japan. Results: In the eye specimen, phase contrast images from XDFI were able to discriminate soft-tissue structures, such as the iris, separated by aqueous humour on both sides, which have nearly equal absorption. Superiority of XDFI in imaging soft tissue was further demonstrated with a diseased iliac artery containing atherosclerotic plaque and breast samples with benign and malignant tumours. XDFI on breast tumours discriminated between the normal and diseased terminal duct lobular unit and between invasive and in-situ cancer. Conclusions: X-ray phase, as detected by XDFI, has superior contrast over absorption for soft tissue processes such as atherosclerotic plaque and breast cancer. Key points: • X-ray dark field imaging (XDFI) can dramatically increase sensitivity of phase detection. • XDFI can provide enhanced soft tissue discrimination. • With XDFI, abnormal anatomy can be visualised with high spatial/contrast resolution.

Original languageEnglish
Pages (from-to)423-433
Number of pages11
JournalEuropean Radiology
Volume24
Issue number2
DOIs
Publication statusPublished - 2014 Feb 1
Externally publishedYes

Keywords

  • Cardiovascular
  • Diagnostic imaging
  • Diagnostic techniques
  • Mammography
  • Radiologic
  • Technology
  • Tomography
  • X-ray computed

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

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