Nau M, Reymann M, Massanes F, Vija AH, Maier A (2023)
Publication Language: English
Publication Type: Conference contribution, Abstract of a poster
Publication year: 2023
Event location: Vancouver, BC, Canada
ISBN: 979-8-3503-3866-9
URI: https://ieeexplore.ieee.org/abstract/document/10338608
DOI: 10.1109/NSSMICRTSD49126.2023.10338608
Iterative reconstruction techniques have been integrated into clinical practice for emission tomography reconstruction. While these techniques have shown promising results in image reconstruction, there remains a lack of clarity regarding which parts of the image are reliably estimated and which are not. Currently, there is a missing measure to differentiate between epistemic and aleatoric errors. One approach to address this issue is to estimate the null space of the imaging model for a given object. In this study, we utilize a previously proposed adaptation of the Landweber iteration, known as the Wilson-Barret method, for calculating the null space of a noiseless reference phantom and for a corresponding reconstruction of a simulated phantom. Using the calculated null spaces we can apply a method for creating hallucination maps, that allow derivation of the epistemic error. Our findings suggest that the hallucinated components of the image are primarily attributable to the edges or high-frequency components of the phantom as well as the center of the phantom, which is consistent with expectations.
APA:
Nau, M., Reymann, M., Massanes, F., Vija, A.H., & Maier, A. (2023, December). Computing Null Space Hallucinations on Simulated SPECT Image Reconstructions. Poster presentation at 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD), Vancouver, BC, Canada, CA.
MLA:
Nau, Merlin, et al. "Computing Null Space Hallucinations on Simulated SPECT Image Reconstructions." Presented at 2023 IEEE Nuclear Science Symposium, Medical Imaging Conference and International Symposium on Room-Temperature Semiconductor Detectors (NSS MIC RTSD), Vancouver, BC, Canada Ed. IEEE, 2023.
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