Presentation + Paper
7 April 2023 Preliminary investigation of image reconstruction from data over reduced angular range in spectral-spatial electron paramagnetic resonance imaging
Author Affiliations +
Abstract
Electron paramagnetic resonance imaging (EPRI) is a rising technique for preclinical imaging of small animals. The technique uses paramagnetic spin contrast materials to determine the spectral-spatial (SS) distribution of materials within the subject. A widely used EPRI modality employs continuous wave (CW) scanning scheme with Zeeman modulation (ZM). The imaging model in this technique can be related to the Radon transform (RT) of the SS image, and image reconstruction is equivalent to reconstruction from RT data. However, data collection is limited by the finite strength of the magnetic field gradient applied to the subject, and there is a desire to speed up scanning by collecting data only over a limited-angular range (LAR). In this study, we tailor a recently developed DTV algorithm in CT to investigate accurate image reconstruction from RT over LARs in EPRI. The results show that the DTV algorithm can be adapted for image reconstruction of quality comparable to that of images reconstructed from full-angular range (FAR) data, suggesting that algorithms can be developed to enable LAR scanning in CW-ZM EPRI with reduced imaging time.
Conference Presentation
© (2023) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Zheng Zhang, Buxin Chen, Dan Xia, Emil Y. Sidky, Boris Epel, Zhiwei Qiao, Howard Halpern, and Xiaochuan Pan "Preliminary investigation of image reconstruction from data over reduced angular range in spectral-spatial electron paramagnetic resonance imaging", Proc. SPIE 12463, Medical Imaging 2023: Physics of Medical Imaging, 124630S (7 April 2023); https://doi.org/10.1117/12.2654386
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
Image restoration

Reconstruction algorithms

Algorithm development

Data modeling

Data acquisition

3D image processing

3D image reconstruction

Back to Top