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Toward Improving Breast Cancer Imaging: Radiological Assessment of Propagation-Based Phase-Contrast CT Technology
- Publication Year :
- 2018
-
Abstract
- Rationale and Objectives This study employs clinical/radiological evaluation in establishing the optimum imaging conditions for breast cancer imaging using the X-ray propagation-based phase-contrast tomography. Materials and Methods Two series of experiments were conducted and in total 161 synchrotron-based computed tomography (CT) reconstructions of one breast mastectomy specimen were produced at different imaging conditions. Imaging factors include sample-to-detector distance, X-ray energy, CT reconstruction method, phase retrieval algorithm applied to the CT projection images and maximum intensity projection. Observers including breast radiologists and medical imaging experts compared the quality of the reconstructed images with reference images approximating the conventional (absorption) CT. Various radiological image quality attributes in a visual grading analysis design were used for the radiological assessments. Results The results show that the application of the longest achievable sample-to-detector distance (9.31 m), the lowest employed X-ray energy (32 keV), the full phase retrieval, and the maximum intensity projection can significantly improve the radiological quality of the image. Several combinations of imaging variables resulted in images with very high-quality scores. Conclusion The results of the present study will support future experimental and clinical attempts to further optimize this innovative approach to breast cancer imaging.
- Subjects :
- Radiology, Nuclear Medicine and Imaging
Image quality
Computer science
Breast Neoplasms
X-ray propagation-based imaging (PBI)
Breast cancer
Computed tomography
Phase-contrast imaging
Radiological assessment
Nuclear Medicine and Imaging
Image Interpretation, Computer-Assisted
Medical imaging
medicine
Humans
Mammography
Radiology, Nuclear Medicine and imaging
Breast
Projection (set theory)
Aged
medicine.diagnostic_test
business.industry
medicine.disease
Maximum intensity projection
Female
Tomography
Tomography, X-Ray Computed
Nuclear medicine
business
Radiology
Algorithms
Subjects
Details
- Language :
- English
- Database :
- OpenAIRE
- Accession number :
- edsair.doi.dedup.....486066d9d0caa4ec7c7059288f03816a