Evaluation of a method for projection-based tissue-activity estimation within small volumes-of-interest
| Autor: | Stephen C. Moore, Sudeepti Southekal, Marie Foley Kijewski, Sarah J. McQuaid |
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| Jazyk: | angličtina |
| Rok vydání: | 2012 |
| Předmět: |
Accuracy and precision
media_common.quotation_subject Normal Distribution Image registration Contrast Media Sensitivity and Specificity Article Position (vector) Spect imaging Statistics Image Processing Computer-Assisted Contrast (vision) Humans Radiology Nuclear Medicine and imaging Segmentation Computer Simulation Poisson Distribution Projection (set theory) media_common Mathematics Tomography Emission-Computed Single-Photon Photons Models Statistical Radiological and Ultrasound Technology Phantoms Imaging Reproducibility of Results Statistical model Magnetic Resonance Imaging Tomography X-Ray Computed Monte Carlo Method Algorithms Biomedical engineering |
| Popis: | A new method of compensating for tissue-fraction and count-spillover effects, which require tissue segmentation only within a small volume surrounding the primary lesion of interest, was evaluated for SPECT imaging. Tissue-activity concentration estimates are obtained by fitting the measured projection data to a statistical model of the segmented tissue projections. Multiple realizations of two simulated human-torso phantoms, each containing 20 spherical 'tumours', 1.6 cm in diameter, with tumour-to-background ratios of 8:1 and 4:1, were simulated. Estimates of tumour- and background-activity concentration values for homogeneous as well as inhomogeneous tissue activities were compared to the standard uptake value (SUV) metrics on the basis of accuracy and precision. For perfectly registered, high-contrast, superficial lesions in a homogeneous background without scatter, the method yielded accurate ( |
| Databáze: | OpenAIRE |
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