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Medical Image Quality Assessment

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Visual Quality Assessment for Natural and Medical Image

Abstract

Medical image quality assessment (MIQA) is of great significance to the development of medical imaging technology, which is widely used in computer-aided detection and diagnosis of diseases. However, MIQA evaluates the quality of images according to how well they offer useful and effective presentation to assist with physicians in diagnosing, which is greatly different from the purposes of natural image quality assessment. In this chapter, we present some of the new advances in MIQA by taking some application tasks for instances. The first case concerns evaluating the quality of portable fundus camera photographs, which is used with telemedicine and plays an important role in ophthalmology. The next example is the study on a more advanced type of imaging techniques, which is called susceptibility weighted imaging. The followed case is an adaptive paralleled sinogram noise reduction method based on relative quality assessment provided, which can increase both efficiency and performance of low-dose computed tomography (CT) noise reduction algorithms. The lastly presented study concentrates on the relationship between the image quality and imaging dose in low-dose cone beam CT.

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  1. Zhejiang University, Hangzhou, China

    Yong Ding

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  1. Yong Ding
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Ding, Y. (2018). Medical Image Quality Assessment. In: Visual Quality Assessment for Natural and Medical Image. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-662-56497-4_8

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  • DOI: https://doi.org/10.1007/978-3-662-56497-4_8

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