Quality Assessment in Magnetic Resonance Images

Quality Assessment in Magnetic Resonance Images
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DOI:
10.1615/critrevbiomedeng.v38.i2.20
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发表时间:
2010-01-01
影响因子:
--
通讯作者:
Ramakrishnan, A. G.
Ramakrishnan, A. G.
中科院分区:
其他
文献类型:
--
作者:
Sinha, Neelam;Ramakrishnan, A. G.

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评估医学图像的质量是至关重要的,因为后续的行动过程取决于它。临床磁共振(MR)成像的广泛应用需要对用于MR图像的图像指数进行研究。磁共振图像的质量在确定其诊断的可靠性、对治疗的反应、跨不同成像周期的同步、优化介入成像和图像恢复方面具有特别重要的意义。在这篇文章中,我们回顾了为评估MR图像质量而开发的各种技术。所报告的质量指数大致可分为主观/客观、自动/半自动、基于感兴趣区域/非感兴趣区域、全参考/无参考和合并/不合并人类视觉系统。各种指数之间的权衡在于计算复杂性、假设、可重复性和与人类感知的相似性。因为图像最终是由人眼观察的,所以人们发现在计算质量指数时考虑人眼的视觉反应、敏感度和特征是很重要的。此外,由于缺乏可用于比较映像的黄金标准,因此无参考指标最为相关。客观和自动的技术是首选的,因为它们的可重复性和消除人为干预中出现的压力等因素造成的可避免的错误。
Assessing quality of medical images is critical because the subsequent course of actions depend on it. Extensive use of clinical magnetic resonance (MR) imaging warrants a study in image indices used for MR images. The quality of MR images assumes particular significance in the determination of their reliability for diagnostics, response to therapies, synchronization across different imaging cycles, optimization of interventional imaging, and image restoration. In this paper, we review various techniques developed for the assessment of MR image quality. The reported quality indices can be broadly classified as subjective/objective, automatic/semi-automatic, region-of-interest/non-region-of-interest based, full-reference/no-reference and HVS incorporated/non-HVS incorporated. The trade-off across the various indices lies in the computational complexity, assumptions, repeatability, and resemblance to human perception. Because images are eventually viewed by the human eye, it is found that it is important to incorporate aspects of human visual response, sensitivity, and characteristics in computing quality indices. Additionally, no-reference metrics are the most relevant due to the lack of availability of a golden standard against which images could be compared. Techniques that are objective and automatic are preferred for their repeatability and to eliminate avoidable errors due to factors like stress, which arise in human intervention.