PET/MRI/VCT: Restoration of virtual ct from transmission scan on PET/MRI using joint-anisotropic diffusion
Shi K, Cheng X, Navab N, Foerster S, Ziegler SI (2015)
Publication Type: Book chapter / Article in edited volumes
Publication year: 2015
Publisher: Kluwer Academic Publishers
Series: Lecture Notes in Computational Vision and Biomechanics
Book Volume: 22
Pages Range: 25-33
DOI: 10.1007/978-3-319-18431-9_3
Abstract
CT is a mandatory imaging modality for radiation treatment planning (RTP) while MRI and PET have advantages in tumor delineation and dose prescriptions. To avoid multiple scanning and additional high radiation doses, this paper proposes to integrate low dose transmission scan (TX) into a PET/MRI machine for the synthesis of virtual CT (VCT) for treatment planning. TX is usually extremely noisy with artifact spots and it is necessary to smooth the sinogram to obtain interpretable images. However this results in blurred low resolution images. This study introduces a novel joint-anisotropic diffusion (JAD) method which restores VCT images without loss of resolution using additional anatomical images to regularize the filtering. Through reshaping the anisotropic diffusion tensor using MRI, this method guides the diffusion flux to favor the similarity between VCT and MRI leading to an increase ofmutual information. For proof of concept, virtual PET/MRI/VCT system with conventional 68Ga ring source was implemented on GATE and realistic TX data were simulated and tested. The results demonstrate that the new approach improves the geometrical accuracy of VCT and provides a potential application for RTP.
Involved external institutions
Germany (DE)How to cite
APA:
Shi, K., Cheng, X., Navab, N., Foerster, S., & Ziegler, S.I. (2015). PET/MRI/VCT: Restoration of virtual ct from transmission scan on PET/MRI using joint-anisotropic diffusion. In (pp. 25-33). Kluwer Academic Publishers.
MLA:
Shi, Kuangyu, et al. "PET/MRI/VCT: Restoration of virtual ct from transmission scan on PET/MRI using joint-anisotropic diffusion." Kluwer Academic Publishers, 2015. 25-33.
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