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Image fusion for stabilized medical video sequence using multimodal parametric registration
Pattern Recognition Letters ( IF 5.1 ) Pub Date : 2020-05-16 , DOI: 10.1016/j.patrec.2020.04.001
D Raveena Judie Dolly , J Dinesh Peter , G. Josemin Bala , D J Jagannath

Medical imaging is a boon to mankind. Processing of medical images is extensively blooming with the aid of technological advancements. Medical images taken from different modalities are stabilized to remove the jittery artifacts and further processed for fusing the images to enable the physicians to visualize the combined features of CT and MRI. Alignment of both the images is performed to ensure parametric registration so as to effectively blend and overlay for proper diagnosis. To assure the quality of the images, basic optimization is implemented and the subjective visualization and objective evaluation are performed. The proposed approach, image fusion with stabilization and registration outperforms the existing techniques in terms of subjective and objective evaluation.



中文翻译:

使用多峰参数配准的稳定医学视频序列图像融合

医学成像对人类是一个福音。借助技术进步,医学图像的处理正在蓬勃发展。将从不同模态中获取的医学图像稳定下来,以消除抖动的伪影,并对其进行进一步处理以融合图像,从而使医生能够可视化CT和MRI的组合特征。进行两个图像的对准以确保参数对准,从而有效地融合和覆盖以进行正确的诊断。为了确保图像的质量,将执行基本优化并执行主观可视化和客观评估。在主观和客观评估方面,所提出的方法(具有稳定和配准的图像融合)优于现有技术。

更新日期:2020-05-16
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