Use of Lymphoscintigraphy Images in Nuclear Medicine to Obtain the Distribution of <sup>99m</sup>Tc Photons in Computational Exposure Models

This study aims to create a source catalog for Lower Limb Lymphoscintigraphy (LLL) examinations in Nuclear Medicine, using real lymphoscintigraphy images from adult male patients. The DIP (Digital Image Processing) software, developed by the Research Group on Computational Dosimetry and Embedded Systems (GPDC&SE), was used to adjust the anteroposterior (AP) and posteroanterior (PA) medical images to the frontal section of the anthropomorphic phantom MASH_sup (Male Adult meSH in supine position). The images were summed line by line, generating a .SGI file, which was processed by the Monte Carlo software to produce the source catalog stored in the file MSUPLC_TC99m.txt. This file contains information for each slice, including the slice number, the area of the source points, and the value of the associated cumulative distribution function (CDF). As a result, a catalog based on real clinical data was successfully generated, which enables the replacement of generic internal sources in the Computational Exposure Models of the GPDC&SE. This makes it possible to simulate LLL examinations more realistically. In the future, this methodology may be extended to female patients, different phantoms, and other scintigraphic procedures. This work represents an advancement in computational dosimetry and personalized nuclear medicine, as it enables simulations that more accurately reflect patient-specific anatomical and physiological characteristics.

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Publication Details

Journal
Brazilian Journal of Radiation Sciences
Published
2025-09-15
DOI
https://doi.org/10.15392/2319-0612.2025.2909
Primary Topic
Medical Imaging Techniques and Applications
Type
article
Field-Weighted Citation Impact
0.00

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article

Use of Lymphoscintigraphy Images in Nuclear Medicine to Obtain the Distribution of 99mTc Photons in Computational Exposure Models

Whoody Alem Wanderley Araripe Farias, Jessica M. Peña, Fernando Roberto de Andrade Lima, Larissa Cristina Silva dos Santos et al.
Brazilian Journal of Radiation Sciences
Medical Imaging Techniques and Applications
article

Use of Lymphoscintigraphy Images in Nuclear Medicine to Obtain the Distribution of 99mTc Photons in Computational Exposure Models

Whoody Alem Wanderley Araripe Farias, Jessica M. Peña, Fernando Roberto de Andrade Lima, Larissa Cristina Silva dos Santos, Ferdinand De Jesus Lopes Filho, Jorge Alexandre Gomes Lins, Victor Hugo da Silva, J Silva, José Wilson Vieira
article en

Abstract

This study aims to create a source catalog for Lower Limb Lymphoscintigraphy (LLL) examinations in Nuclear Medicine, using real lymphoscintigraphy images from adult male patients. The DIP (Digital Image Processing) software, developed by the Research Group on Computational Dosimetry and Embedded Systems (GPDC&SE), was used to adjust the anteroposterior (AP) and posteroanterior (PA) medical images to the frontal section of the anthropomorphic phantom MASH_sup (Male Adult meSH in supine position). The images were summed line by line, generating a .SGI file, which was processed by the Monte Carlo software to produce the source catalog stored in the file MSUPLC_TC99m.txt. This file contains information for each slice, including the slice number, the area of the source points, and the value of the associated cumulative distribution function (CDF). As a result, a catalog based on real clinical data was successfully generated, which enables the replacement of generic internal sources in the Computational Exposure Models of the GPDC&SE. This makes it possible to simulate LLL examinations more realistically. In the future, this methodology may be extended to female patients, different phantoms, and other scintigraphic procedures. This work represents an advancement in computational dosimetry and personalized nuclear medicine, as it enables simulations that more accurately reflect patient-specific anatomical and physiological characteristics.

Brazilian Journal of Radiation SciencesVol. 13(3A (Suppl.))
Universidade Federal de Pernambuco (BR), Instituto Federal de Educação, Ciência e Tecnologia de Pernambuco (BR), Secretaria de Educação de Pernambuco (BR), Centro de Estudos e Sistemas Avançados do Recife (BR), Hospital das Clínicas da Universidade Federal de Pernambuco (BR)
Fundação de Amparo à Ciência e Tecnologia do Estado de Pernambuco
Openalex Percentile: Top 66%
Medical Imaging Techniques and Applications
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