Proceedings ArticleDOI
Edge enhancement to improve visualizations of tube/line placement in x-ray imaging
Hong Liu,Calvin F. Nodine,Wallace T. Miller +2 more
- Vol. 2434, pp 274-277
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TLDR
A nonlinear unsharp masking algorithm designed specifically to improve visualization of tube and line placements in chest X-ray imaging is presented in this article. But this algorithm was incorporated as an on-demand button in the design of a PACS display console.Abstract:
A nonlinear unsharp masking algorithm designed specifically to improve visualization of tube and line placements in chest x-ray imaging is presented in this paper. This algorithm was incorporated as an on-demand button in the design of a PACS display console. To address the concerns of radiologists about the artifacts accompanying image processing operations, we utilized a window-shade display scheme that shows both processed and unprocessed images simultaneously in the same display window at full resolution. We have found that the new algorithm enhances more details in low contrast areas without more over-shootings at high contrast edges. This algorithm is beneficial to tube/line placement examinations since the tips of tubes and lines are typically located in the areas of high brightness and low contrast. Preliminary results indicate that our modified unsharp masking algorithm as an option in a PACS workstation leads to better visualizations of tube-placement position for MICU physicians.© (1995) COPYRIGHT SPIE--The International Society for Optical Engineering. Downloading of the abstract is permitted for personal use only.read more
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Patent
X-ray image processing
TL;DR: In this paper, an object (130) to be imaged is positioned between an x-ray source (100) and an X-ray imager (140), and an xray image is generated using this boundary.
Proceedings ArticleDOI
Evaluating the Perceptual Impact of Rendering Techniques on Thematic Color Mappings in 3D Virtual Environments
TL;DR: A quantitative and qualitative user study that evaluates the impact of rendering techniques on information and spatial perception when using visualization of thematic data in 3D virtual environments shows significant differences in error rate and task completion time for different rendering techniques and color mappings.
Journal ArticleDOI
Enhancement of radiographic images in patients with lung nodules.
Maher I. Rajab,Ayman A. Eskandar +1 more
TL;DR: It has been found that high‐frequency domain image filtering enhances the morphological features of lung masses and the characteristics of lung lesions are easily identified after this process.
Proceedings ArticleDOI
Edge preservation by anisotropic diffusion filtering to improve visualizations of invasive lines and tubes in chest x-ray images
Jin Zhu,Yisheng Zhu +1 more
TL;DR: The purpose of this article is to apply anisotropic diffusion filtering to process these radiographs, and therefore may help physicians determine the correct placements of lines and tubes in patients' bodies.
References
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Proceedings ArticleDOI
Multiscale image contrast amplification (MUSICA)
Pieter Vuylsteke,Emile Schoeters +1 more
TL;DR: This article presents a novel approach to the problem of detail contrast enhancement, based on multiresolution representation of the original image, which is being applied routinely to computed radiography images of chest, skull, spine, shoulder, pelvis, extremities, and abdomen examinations, with excellent acceptance.
Proceedings ArticleDOI
Overlapped-image display method: a technique for comparing medical images on a workstation
Steven C. Horii,Sheel Kishore,John Fred Stevens,Sridhar B. Seshadri,Eric R. Feingold,Julie Barudin,Harold L. Kundel +6 more
TL;DR: A very common task for a radiologist is to compare a previous examination with a current one, and a method that may help improve the comparison operation is possible with a workstation, but difficult with film.
Proceedings ArticleDOI
Image-display optimization using clinical history
Calvin F. Nodine,Inna Brikman,Harold L. Kundel,A. Douglas,Sridhar B. Seshadri,Ronald L. Arenson +5 more
TL;DR: The primary goal of this research is to transfer some of the burden of image manipulation from the observer to the computer by using clinical history prompts to set gray-scale imaging parameters that are most likely to enhance relevant diagnostic information called for by the prompt.