Abstract
A multi-modality image fusion can process images of certain organs or issues which were collected from diverse medical imaging equipment. The fusion can extract complementary information and integrate into images with more comprehensive information. The multi-modality image fusion can provide image that was combined with anatomical and physiological information for doctors and bring convenience for diagnosis. Basically, the thesis mainly studies the fusion of MRI and CT images, while taking the cerebral infraction-suffered patients’ images as example. Furthermore, T1 and DWI sequences are respectively carrying on wavelet fusion, pseudo color fusion, and α channel fusion. Meanwhile, the numerous image data will be objectively assessed and compared from several aspects such as information entropy, mutual information, the mean grads, and spatial frequency. By means of the observation and analysis, compared with original image, it can be figured out that fused image not only has richer details but also more clearly highlights the lesions of cerebral infarction.
Highlights
Image fusion means using different methods to obtain images from which a certain organ and some algorithms are adopted to undergo the comprehensive procedure
The mean grads and spatial frequency of wavelet-weighted fusion is better than pseudo-color fusion, while pseudo-color fusion is better than α channel fusion
The information entropy, mean grads, and spatial frequency of wavelet-weighted fusion is better than α channel fusion, while α channel fusion is better than pseudo-color fusion
Summary
Image fusion means using different methods to obtain images from which a certain organ and some algorithms are adopted to undergo the comprehensive procedure. Multi-modality image fusion means integrating the image that was collected from diversity medical equipment and obtain the more comprehensive and reliable image information [1]. The spatial resolution of functional image is relatively low; it can provide information such as visceral metabolic rate and blood circulation. The spatial resolution of anatomical image is relatively high [2]. Brain MRI check can discover the cerebral infarction earlier, which can be interpreted as T1 shows low signals in lesion area at the on-weighted image, while T2 shows high signals. MRI scan can discover the smaller cerebral infarction lesions. The image can provide comprehensive, effective, and reliable information for clinical studies, boosting the diagnostic efficiency, as well as the reliability and accuracy [3]
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