New Pseudo-CT Generation Approach from Magnetic Resonance Imaging using a Local Texture Descriptor

H Chaibi, R Nourine

Abstract


Background: One of the challenges of PET/MRI combined systems is to derive an attenuation map to correct the PET image. For that, the pseudo-CT image could be used to correct the attenuation. Until now, most existing scientific researches construct this pseudo-CT image using the registration techniques. However, these techniques suffer from the local minima of the non-rigid deformation energy function which leads to unsatisfactory results.


Objective: We propose in this paper a new approach for the generation of a pseudo-CT image from an MR image.


Materials and Methods: This approach is based on a dense stereo matching concept, for that, we encode each pixel according to a shape related coordinates method, and we apply a local texture descriptor to put into correspondence pixels between MRI patient and MRI atlas images. The proposed approach was tested on a real MRI data, and in order to show the effectiveness of the proposed local descriptor, it has been compared to three other local descriptors: SIFT, SURF and DAISY. Also it was compared to registration method.


Results: The calculation of structural similarity (SSIM) index and DICE coefficients, between the pseudo-CT image and the corresponding real CT image show that the proposed stereo matching approach outperforms a registration one.


Conclusion: The use of dense matching with atlas promises good results in the creation of pseudo-CT. The proposed approach can be recommended as an alternative to registration techniques.


Keywords


Pseudo-CT, Attenuation Correction, Stereo Matching, Local Texture Descriptor for Matching, PET/MRI

Full Text:

PDF


DOI: https://doi.org/10.22086/jbpe.v0i0.641

eISSN: 2251-7200        JBPE NLM ID: 101589641

Creative Commons License

This work is licensed under a Creative Commons Attribution-NonCommercial 3.0 Unported License.

Indexing:  PubMed Central, Scopus, EMBASE, EBSCO, DOAJIndex CopernicusISCSIDGoogle scholar, Open J-Gate, Geneva Free Medical Journals, EMRmedexBarakatkns, Magiran, HINARI, Electronic Journals Library