Principles of image processing in digital chest radiography
- PMID: 12867812
- DOI: 10.1097/00005382-200307000-00004
Principles of image processing in digital chest radiography
Abstract
Image processing has a major impact on image quality and diagnostic performance of digital chest radiographs. Goals of processing are to reduce the dynamic range of the image data to capture the full range of attenuation differences between lungs and mediastinum, to improve the modulation transfer function to optimize spatial resolution, to enhance structural contrast, and to suppress image noise. Image processing comprises look-up table operations and spatial filtering. Look-up table operations allow for automated signal normalization and arbitrary choice of image gradation. The most simple and still widely applied spatial filtering algorithms are based on unsharp masking. Various modifications were introduced for dynamic range reduction and MTF restoration. More elaborate and more effective are multi-scale frequency processing algorithms. They are based on the subdivision of an image in multiple frequency bands according to its structural composition. This allows for a wide range of image manipulations including a size-independent enhancement of low-contrast structures. Principles of the various algorithms will be explained and their impact on image appearance will be illustrated by clinical examples. Optimum and sub-optimum parameter settings are discussed and pitfalls will be explained.
Similar articles
-
Digital image processing.Vet Radiol Ultrasound. 2008 Jan-Feb;49(1 Suppl 1):S42-7. doi: 10.1111/j.1740-8261.2007.00333.x. Vet Radiol Ultrasound. 2008. PMID: 18283986 Review.
-
[Digital thoracic radiology: devices, image processing, limits].J Radiol. 2001 Sep;82(9 Pt 2):1045-53. J Radiol. 2001. PMID: 11567193 Review. French.
-
Enhancement and compression of digital chest radiographs.J Thorac Imaging. 1990 Jan;5(1):92-5. doi: 10.1097/00005382-199001000-00014. J Thorac Imaging. 1990. PMID: 2299708
-
[Evaluation of an automated adaptive unsharp masking technique in digital chest radiographs].Nihon Igaku Hoshasen Gakkai Zasshi. 1992 Feb 25;52(2):164-71. Nihon Igaku Hoshasen Gakkai Zasshi. 1992. PMID: 1561056 Japanese.
-
Enhancement of chest images by automatic adaptive spatial filtering.J Digit Imaging. 1992 Nov;5(4):223-9. doi: 10.1007/BF03167803. J Digit Imaging. 1992. PMID: 1457537
Cited by
-
Phase-contrast virtual chest radiography.Proc Natl Acad Sci U S A. 2023 Jan 3;120(1):e2210214120. doi: 10.1073/pnas.2210214120. Epub 2022 Dec 29. Proc Natl Acad Sci U S A. 2023. PMID: 36580596 Free PMC article.
-
Abdominal Digital Radiography with a Novel Post-Processing Technique: Phantom and Patient Studies.Taehan Yongsang Uihakhoe Chi. 2020 Jul;81(4):920-932. doi: 10.3348/jksr.2020.81.4.920. Epub 2020 May 8. Taehan Yongsang Uihakhoe Chi. 2020. PMID: 36238179 Free PMC article.
-
Advances in multiscale image processing and its effects on image quality in skeletal radiography.Sci Rep. 2022 Mar 18;12(1):4726. doi: 10.1038/s41598-022-08699-8. Sci Rep. 2022. PMID: 35304544 Free PMC article.
-
Investigating the Role of Global Histogram Equalization Technique for 99mTechnetium-Methylene diphosphonate Bone Scan Image Enhancement.Indian J Nucl Med. 2017 Oct-Dec;32(4):283-288. doi: 10.4103/ijnm.IJNM_61_17. Indian J Nucl Med. 2017. PMID: 29142344 Free PMC article.
-
Digital radiography exposure indices: A review.J Med Radiat Sci. 2014 Jun;61(2):112-8. doi: 10.1002/jmrs.49. Epub 2014 May 11. J Med Radiat Sci. 2014. PMID: 26229645 Free PMC article. Review.
MeSH terms
LinkOut - more resources
Full Text Sources
Miscellaneous
