Nucl Med Mol Imaging.  2016 Mar;50(1):13-23. 10.1007/s13139-016-0399-8.

The Use of Anatomical Information for Molecular Image Reconstruction Algorithms: Attenuation/Scatter Correction, Motion Compensation, and Noise Reduction

Affiliations
  • 1School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology (UNIST), Ulsan, Republic of Korea. sychun@unist.ac.kr

Abstract

PET and SPECT are important tools for providing valuable molecular information about patients to clinicians. Advances in nuclear medicine hardware technologies and statistical image reconstruction algorithms enabled significantly improved image quality. Sequentially or simultaneously acquired anatomical images such as CT and MRI from hybrid scanners are also important ingredients for improving the image quality of PET or SPECT further. High-quality anatomical information has been used and investigated for attenuation and scatter corrections, motion compensation, and noise reduction via post-reconstruction filtering and regularization in inverse problems. In this article, we will review works using anatomical information for molecular image reconstruction algorithms for better image quality by describing mathematical models, discussing sources of anatomical information for different cases, and showing some examples.

Keyword

Iterative image reconstruction; Attenuation and scatter correction; Motion compensation; Regularization; Post-reconstruction filter; Anatomical side information

MeSH Terms

Compensation and Redress*
Humans
Image Processing, Computer-Assisted*
Magnetic Resonance Imaging
Models, Theoretical
Noise*
Nuclear Medicine
Tomography, Emission-Computed, Single-Photon
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