Edge enhancement algorithm for low-dose X-ray fluoroscopic imaging

Lee, Min Seok; Park, Chul Hee; Kang, Moon Gi

doi:10.1016/j.cmpb.2017.09.010

Cited by 18 publications

(8 citation statements)

References 24 publications

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“…Perhaps an accuracy study using the latest imaging equipment would yield different results. Although fluoroscopy is widely used intraoperatively and the technique has continually evolved, fluoroscopic images still tend to be low-contrast with slightly more noise/blurring than standard radiographs, which may reduce measurement accuracy (25). We therefore excluded studies using fluoroscopy as index test.…”

Section: Discussionmentioning

confidence: 99%

Distal radius fractures and radiographic assessment: a systematic review of measurement accuracy

et al. 2019

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Background Distal radius fracture characterization and treatment are mainly based on radiographic measurements but with contradictory findings on the correlation of those measurements to clinical outcome. Before applying radiographic measurement to the treatment decision and before correlating the measurements to clinical outcome, an accuracy of measurements must be established. Purpose To summarize existing evidence on accuracy of the radiographic measurements of: (i) dorsal/volar tilt of the distal radius; (ii) radial shortening; (iii) ulnar variance; (iv) radial inclination; and (v) articular step-off of the distal radius. We conducted a systematic critical review of the literature. Material and Methods MEDLINE, EMBASE, and the Cochrane Library database were searched. The Preferred Reporting Items for Systematic Reviews (PRISMA) guidelines were followed. Quality of included studies was assessed using a tailored version of the Quality Assessment of Diagnostic Accuracy Studies (QUADAS-2) tool. Results A total of 5908 publications were screened and five studies met the inclusion criteria. Four studies assessed accuracy of articular step-off but with contradictory outcomes. Radiographic measurements of step-off were accurate in two studies and inaccurate in one study. In the last step-off study, some of their measurements varied significantly but accuracy was not reported. The radiographic measurements of ulnar variance were significantly underestimated when compared to the true variance. We were not able to include studies that assessed accuracy of radial shortening, radial inclination, or dorsal/volar tilt against a reference standard. Conclusion Currently, evidence is not available to support accuracy of the radiographic measurements commonly used to characterize distal radius fractures.

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Section: Discussionmentioning

confidence: 99%

Distal radius fractures and radiographic assessment: a systematic review of measurement accuracy

et al. 2019

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“…These imaging techniques can be applied as non-invasive techniques to view the inside of the human body without any surgical intervention. They can be used to facilitate the diagnosis or treatment of various diseases [4]- [6]. The special resolution required to obtain detailed images of various structures of the human body is a major practical limitation of modern medical imaging techniques.…”

Section: Introductionmentioning

confidence: 99%

An approach for cross-modality guided quality enhancement of liver image

Elaraby

Taha

2022

IJECE

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<p><span>A novel approach for multimodal liver image contrast enhancement is put forward in this paper. The proposed approach utilizes magnetic resonance imaging (MRI) scan of liver as a guide to enhance the structures of computed tomography (CT) liver. The enhancement process consists of two phases: The first phase is the transformation of MRI and CT modalities to be in the same range. Then the histogram of CT liver is adjusted to match the histogram of MRI. In the second phase, an adaptive histogram equalization technique is presented by splitting the CT histogram into two sub-histograms and replacing their cumulative distribution functions with two smooths sigmoid. The subjective and objective assessments of experimental results indicated that the proposed approach yields better results. In addition, the image contrast is effectively enhanced as well as the mean brightness and details are well preserved.</span></p>

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“…Moreover, these techniques do not allow an easy real-time implementation, rather being suitable for accurate post-processing. Other recent approaches mainly concentrate on edge enhancement [18, 19] and on recognition of curvilinear guide-wires [20] in fluoroscopy but they do not provide a global approach to noise reduction.…”

Section: Introductionmentioning

confidence: 99%

Real-time algorithm for Poissonian noise reduction in low-dose fluoroscopy: performance evaluation

Sarno

Andreozzi

et al. 2019

BioMed Eng OnLine

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Background Quantum noise intrinsically limits the quality of fluoroscopic images. The lower is the X-ray dose the higher is the noise. Fluoroscopy video processing can enhance image quality and allows further patient’s dose lowering. This study aims to assess the performances achieved by a Noise Variance Conditioned Average (NVCA) spatio-temporal filter for real-time denoising of fluoroscopic sequences. The filter is specifically designed for quantum noise suppression and edge preservation. It is an average filter that excludes neighborhood pixel values exceeding noise statistic limits, by means of a threshold which depends on the local noise standard deviation, to preserve the image spatial resolution. The performances were evaluated in terms of contrast-to-noise-ratio (CNR) increment, image blurring (full width of the half maximum of the line spread function) and computational time. The NVCA filter performances were compared to those achieved by simple moving average filters and the state-of-the-art video denoising block matching-4D (VBM4D) algorithm. The influence of the NVCA filter size and threshold on the final image quality was evaluated too. Results For NVCA filter mask size of 5 × 5 × 5 pixels (the third dimension represents the temporal extent of the filter) and a threshold level equal to 2 times the local noise standard deviation, the NVCA filter achieved a 10% increase of the CNR with respect to the unfiltered sequence, while the VBM4D achieved a 14% increase. In the case of NVCA, the edge blurring did not depend on the speed of the moving objects; on the other hand, the spatial resolution worsened of about 2.2 times by doubling the objects speed with VBM4D. The NVCA mask size and the local noise-threshold level are critical for final image quality. The computational time of the NVCA filter was found to be just few percentages of that required for the VBM4D filter. Conclusions The NVCA filter obtained a better image quality compared to simple moving average filters, and a lower but comparable quality when compared with the VBM4D filter. The NVCA filter showed to preserve edge sharpness, in particular in the case of moving objects (performing even better than VBM4D). The simplicity of the NVCA filter and its low computational burden make this filter suitable for real-time video processing and its hardware implementation is ready to be included in future fluoroscopy devices, offering further lowering of patient’s X-ray dose.

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Edge enhancement algorithm for low-dose X-ray fluoroscopic imaging

Cited by 18 publications

References 24 publications

Distal radius fractures and radiographic assessment: a systematic review of measurement accuracy

Distal radius fractures and radiographic assessment: a systematic review of measurement accuracy

An approach for cross-modality guided quality enhancement of liver image

Real-time algorithm for Poissonian noise reduction in low-dose fluoroscopy: performance evaluation

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