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Article type: Research Article
Authors: García-Esparza, A.M. | Garnica-Garza, H.M.; *
Affiliations: Centro de Investigación y de Estudios Avanzadosdel IPN, Unidad Monterrey, Vía del Conocimiento 201 Parque PIIT, Apodaca NL México CP 66606, México
Correspondence: [*] Corresponding author: H. M. Garnica-Garza, Centro de Investigación y de Estudios Avanzados del IPN, Unidad Monterrey, Vía del Conocimiento 201 Parque PIIT, Apodaca NL México CP 66606, México. E-mail: [email protected].
Abstract: BACKGROUND:Molecular breast imaging uses Tc-99 m sestamibi to obtain functional images of the breast. Determining the Tc-99 m sestamibi uptake in volumes of interest in the breast may be useful in assessing the response to neoadjuvant chemotherapy or for the purposes of breast cancer risk assessment. PURPOSE:To determine, using Monte Carlo simulation, if emission tomography can be used to quantify the uptake of Tc-99 m sestamibi in molecular breast imaging and if so, to determine the accuracy as a function of the number of projections used in the reconstruction process. METHODS:In this study, two voxelized breast models are implemented with different ratios of fibroglandular to fatty tissue and tumoral masses of varying dimensions. Monte Carlo simulation is used to calculate sets of projections, which assumes that each tumoral mass contains a given Tc-99 m activity. Projections are also calculated for a calibration phantom in order to correlate the known activity with the image pixel value. For each case, the total number of calculated projections is 36 and the reconstruction is carried out for 36, 18, 9, 7 and 5 projections, respectively, using an open source image reconstruction toolbox. RESULTS:Study data show that determination of Tc-99 m sestamibi uptake with and average error of 7% can be carried out with as little as 7 projections. CONCLUSIONS:Molecular breast emission tomography enables to accurately determine the Tc-99 m sestamibi tumoral mass uptake with the number of projections very close to the number of images currently acquired in clinical practice.
Keywords: Molecular breast tomography, Monte Carlo simulation, breast cancer
DOI: 10.3233/XST-221303
Journal: Journal of X-Ray Science and Technology, vol. 31, no. 2, pp. 285-299, 2023
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