Peer-reviewed veterinary case report
How does digital image processing affect pet X-rays?
By Lo, Winnie Y & Puchalski, Sarah M·Published in Veterinary radiology & ultrasound : the official journal of the American College of Veterinary Radiology and the International Veterinary Radiology Association·2008·Veterinary Medical Teaching Hospital, United States·View original on PubMed →
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Original publication title: Digital image processing.
Plain-English summary
This abstract discusses how digital image processing improves the quality of X-rays taken with digital radiography (DR). It explains that before the images are finalized, certain adjustments are made to correct issues like uneven light detection or dead pixels. These adjustments can greatly change how the X-ray looks, but they might also create some unique problems that don't happen with traditional methods. Finally, the abstract mentions that after the initial processing, the final image can still be adjusted by the person using it, without changing the original data.
Abstract
Image processing or digital image manipulation is one of the greatest advantages of digital radiography (DR). Preprocessing depends on the modality and corrects for system irregularities such as differential light detection efficiency, dead pixels, or dark noise. Processing is manipulation of the raw data just after acquisition. It is generally proprietary and specific to the DR vendor but encompasses manipulations such as unsharp mask filtering within two or more spatial frequency bands, histogram sliding and stretching, and gray scale rendition or lookup table application. These processing steps have a profound effect on the final appearance of the radiograph, but they can also lead to artifacts unique to digital systems. Postprocessing refers to manipulation of the final appearance of the radiograph by the end-user and does not involve alteration of the raw data.
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Search related cases →Original publication on PubMed: https://pubmed.ncbi.nlm.nih.gov/18283986/