NDLI: Image reconstruction for emission tomography using intensity normalised patch-based regularisation

Content Provider	IET Digital Library
Author	Ren, Xue Lee, Soo Jin
Abstract	Recently, patch-based regularisation methods have been a topic for tomographic reconstruction, since they are expected to preserve features within patches. However, conventional patch-based methods tend to ignore important similarities when the two patches being compared have a large intensity difference, while they share similar features in a scaled domain, which often results in the loss of fine details. In this work, to overcome this problem, the authors measure the similarity using normalised patch (NP) differences as well as unnormalised standard patch (SP) differences. A NP difference is obtained by normalising each patch with respect to its mean value and scaling the difference between the two NPs. The addition of NPs provides great potential to restore non-piecewise flat regions that are often ignored by SP-based regularisation methods. To combine the two types of patch differences, they use a method of space-variant linear combination where the weight controlling the balance between the two types is derived from a transform of the gradient of each pixel location. The authors’ experiments for emission tomography reconstruction demonstrate that the proposed method improves not only the overall reconstruction accuracy for realistic data with the non-piecewise flat structure, but also the contrast recovery of small structures.
Starting Page	794
Ending Page	803
Page Count	10
ISSN	17519659
Volume Number	13
e-ISSN	17519667
Issue Number	Issue 5, Apr (2019)
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/iet-ipr/13/5
Alternate Webpage(s)	https://digital-library.theiet.org/content/journals/10.1049/iet-ipr.2018.5706
Journal	IET Image Processing
Publisher Date	2019-01-17
Access Restriction	Open
Rights Holder	© The Institution of Engineering and Technology
Subject Keyword	Biology And Medical Computing Biomedical Optical Imaging Computer Vision And Image Processing Technique Conventional Patch-based Method Emission Tomography Reconstruction Image Reconstruction Important Similarities Intensity Difference Intensity Normalised Patch-based Regularisation Medical Image Processing Normalised Patch Differences NP Difference Optical And Laser Radiation Optical, Image And Video Signal Processing Patch-based Regularisation Method Patient Diagnostic Method And Instrumentation Reconstruction Accuracy SP-based Regularisation Method Tomographic Reconstruction Unnormalised Standard Patch Differences
Content Type	Text
Resource Type	Article
Subject	Signal Processing Electrical and Electronic Engineering Computer Vision and Pattern Recognition Software

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