Attributing Uncertainties in the Identification of Hotspots in SPECT Imaging

Autor:	Papanicolas, Costas N., Koutsantonis, Loizos, Stiliaris, Efstathios
Rok vydání:	2020
Předmět:	Electrical Engineering and Systems Science - Image and Video Processing Physics - Data Analysis Statistics and Probability Physics - Medical Physics
Druh dokumentu:	Working Paper
DOI:	10.1109/NSSMIC.2018.8824274
Popis:	In SPECT imaging, the identification and detection of a lesion rely either on visual inspection of the reconstructed tomographic images or post-processing image analysis methods. Both approaches do not provide the capability to attribute a quantifiable uncertainty to this identification. We present a framework which allows the quantification of this uncertainty and the assignment of a level of confidence to the detection of hotspots. Based on the "Reconstructed Image from Simulations Ensemble" (RISE), an image reconstruction method, the presented scheme uses the set of projection measurements to derive the parameters defining the uptake of radioactivity, the position and the size of a hotspot, and as well as their associated uncertainties. The capabilities of the proposed method are demonstrated with projection data from GATE phantom simulations. Comment: 6 pages, 6 figures, Presentation in IEEE NSS/MIC 2018 Conference
Databáze:	arXiv
Externí odkaz:	http://arxiv.org/abs/2008.12614 Zobrazit plný text záznamu View this record from Arxiv