A visual quality evaluation method for telemedicine applications

Nasr, Karim M.; Martini, Maria G.

doi:10.1016/j.image.2017.06.003

Cited by 4 publications

(2 citation statements)

References 35 publications

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“…Recently, there has been a growing interest in electronic and mobile healthcare applications making use of advances in multimedia content processing. Nasr and Martini (2017) presented an efficient and accurate image and video quality assessment approach for physicians or medical specialists to diagnose during remote medical teleconsultation. The development and application of mobile service quality scales should consider the nature of m-service and the compositions of the scales are differentiated based on their target areas (Heo et al , 2017).…”

Section: Literature Reviewmentioning

confidence: 99%

Measuring hospital process service quality: emerging technologies’ challenge

Zhang

Wang

et al. 2020

IJQSS

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Purpose In the mobile internet era, the path and mechanism of hospital patient-perceived quality have been changed radically. The purpose of this study is to develop a scale that adequately captures the characteristics of hospital service quality from the patient’s perspective under the background of the mobile internet. Design/methodology/approach Based on previous related research and interviews with focus groups, this paper conceptualized, constructed, refined and tested a multiple-item scale that examined key dimensions of hospital process service quality in the mobile context. To validate this scale, data were collected through two formal surveys in Chinese hospitals and were used to test the reliability and validity of the instrument. Findings The final measurement scale contains three dimensions, that is, environment conditions, attitude and behavior and technical convenience. With the help of this quality scale, hospital managers could have a better understanding of patients’ expectations under the new condition and pinpoint appropriate initiatives to fill the service gap. Originality/value This study focuses on service quality measurement issues related to the application of mobile internet technology in traditional clinical settings, such as hospitals. This paper develops an original and specific service quality scale that catches the online and offline characteristics of the hospital process in the mobile setting and considers both human-technology interaction and human-human interaction.

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Section: Literature Reviewmentioning

confidence: 99%

Measuring hospital process service quality: emerging technologies’ challenge

Zhang

Wang

et al. 2020

IJQSS

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“…The goal of this approach is to design mathematical models that are able to autonomously evaluate the quality of a modified image, against its unmodified version. The similarity between the reference and watermarked images can be measured using the following most commonly adopted metrics [32]. In all of the used equations, N×M is the images dimension, and Iref and Itst represent the reference and test images respectively.…”

Section: Physical Assessmentmentioning

confidence: 99%

Assessment of perceptual distortion boundary through applying reversible watermarking to brain MR images

Qasim

Aspin

Meziane

et al. 2019

Signal Processing: Image Communication

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The digital medical workflow faces many circumstances in which the images can be manipulated during viewing, extracting and exchanging. Reversible and imperceptible watermarking approaches have the potential to enhance trust within the medical imaging pipeline through ensuring the authenticity and integrity of the images to confirm that the changes can be detected and tracked. This study concentrates on the imperceptibility issue. Unlike reversibility, for which an objective assessment can be easily made, imperceptibility is a factor of human cognition that needs to be evaluated within the human context. By defining a perceptual boundary of detecting the modification, this study enables the formation of objective guidelines for the method of data encoding and level of image/pixel modification that translates to a specific watermark magnitude. This study implements a relative Visual Grading Analysis (VGA) evaluation of 117 brain MR images (8 original and 109 watermarked), modified by varying techniques and magnitude of image/pixel modification to determine where this perceptual boundary exists and relate the point at which change becomes noticeable to the objective measures of the image fidelity evaluation. The outcomes of the visual assessment were linked to the images Peak Signal to Noise Ratio (PSNR) values, thereby identifying the visual degradation threshold. The results suggest that, for watermarking applications, if a watermark is applied to the 512x512 pixel (16 bpp grayscale) images used in the study, a subsequent assessment of PSNR=82dB or greater would mean that there would be no reason to suspect that the watermark would be visually detectable.

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Objective quality assessment of medical images and videos: review and challenges

Rodrigues,

Lévêque,

Gutiérrez

et al. 2024

Multimed Tools Appl

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Quality assessment is a key element for the evaluation of hardware and software involved in image and video acquisition, processing, and visualization. In the medical field, user-based quality assessment is still considered more reliable than objective methods, which allow the implementation of automated and more efficient solutions. Regardless of increasing research on this topic in the last decade, defining quality standards for medical content remains a non-trivial task, as the focus should be on the diagnostic value assessed by expert viewers rather than the perceived quality from naïve viewers, and objective quality metrics should aim at estimating the first rather than the latter. In this paper, we present a survey of methodologies used for the objective quality assessment of medical images and videos, dividing them into visual quality-based and task-based approaches. Visual quality-based methods compute a quality index directly from visual attributes, while task-based methods, being increasingly explored, measure the impact of quality impairments on the performance of a specific task. A discussion on the limitations of state-of-the-art research on this topic is also provided, along with future challenges to be addressed.

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A visual quality evaluation method for telemedicine applications

Cited by 4 publications

References 35 publications

Measuring hospital process service quality: emerging technologies’ challenge

Measuring hospital process service quality: emerging technologies’ challenge

Assessment of perceptual distortion boundary through applying reversible watermarking to brain MR images

Objective quality assessment of medical images and videos: review and challenges

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