Quantification of uptake in pelvis F‐18 FLT PET‐CT images using a 3D localization and segmentation CNN
| العنوان: | Quantification of uptake in pelvis F‐18 FLT PET‐CT images using a 3D localization and segmentation CNN |
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| المؤلفون: | Xiaofan Xiong, Brian J. Smith, Stephen A. Graves, John J. Sunderland, Michael M. Graham, Brandie A. Gross, John M. Buatti, Reinhard R. Beichel |
| المصدر: | Med Phys |
| بيانات النشر: | Wiley, 2022. |
| سنة النشر: | 2022 |
| مصطلحات موضوعية: | Positron Emission Tomography Computed Tomography, Image Processing, Computer-Assisted, Neural Networks, Computer, General Medicine, Radiopharmaceuticals, Article, Dideoxynucleosides, Pelvis |
| الوصف: | PURPOSE: The purpose of this work was to develop and validate a deep convolutional neural network (CNN) approach for the automated pelvis segmentation in computed tomography (CT) scans to enable the quantification of active pelvic bone marrow by means of Fluorothymidine F-18 (FLT) tracer uptake measurement in positron emission tomography (PET) scans. This quantification is a critical step in calculating bone marrow dose for radiopharmaceutical therapy clinical applications as well as external beam radiation doses. METHODS: An approach for the combined localization and segmentation of the pelvis in CT volumes of varying sizes, ranging from full-body to pelvis CT scans, was developed that utilizes a novel CNN architecture in combination with a random sampling strategy. The method was validated on 34 planning CT scans and 106 full-body FLT PET-CT scans using a cross-validation strategy. Specifically, two different training and CNN application options were studied, quantitatively assessed, and statistically compared. RESULTS: The proposed method was able to successfully locate and segment the pelvis in all test cases. On all data sets, an average Dice coefficient of 0.9396±0.0182 or better was achieved. The relative tracer uptake measurement error ranged between 0.065 and 0.204%. The proposed approach is time efficient and shows a reduction in runtime of up to 95% compared to a standard U-Net-based approach without a localization component. CONCLUSIONS: The proposed method enables the efficient calculation of FLT uptake in the pelvis. Thus, it represents a valuable tool to facilitate bone marrow preserving adaptive radiation therapy and radiopharmaceutical dose calculation. Furthermore, the method can be adapted to process other bone structures as well as organs. |
| تدمد: | 2473-4209 0094-2405 |
| URL الوصول: | https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f48776d9f4164d7289e570340d5b0f4f https://doi.org/10.1002/mp.15440 |
| حقوق: | OPEN |
| رقم الأكسشن: | edsair.doi.dedup.....f48776d9f4164d7289e570340d5b0f4f |
| قاعدة البيانات: | OpenAIRE |
| تدمد: | 24734209 00942405 |
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