Joint Regional Uptake Quantification of Thorium-227 and Radium-223 Using a Multiple-Energy-Window Projection-Domain Quantitative SPECT Method Article Swipe
Zekun Li
,
Nadia Benabdallah
,
Richard Laforest
,
Richard L. Wahl
,
Daniel L.J. Thorek
,
Abhinav K. Jha
·
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/tmi.2024.3420228
YOU?
·
· 2024
· Open Access
·
· DOI: https://doi.org/10.1109/tmi.2024.3420228
Thorium-227 ( )-based -particle radiopharmaceutical therapies ( -RPTs) are currently being investigated in several clinical and pre-clinical studies. After administration, decays to , another -particle-emitting isotope, which redistributes within the patient. Reliable dose quantification of both and is clinically important, and SPECT may perform this quantification as these isotopes also emit X- and -ray photons. However, reliable quantification is challenging for several reasons: the orders-of-magnitude lower activity compared to conventional SPECT, resulting in a very low number of detected counts, the presence of multiple photopeaks, substantial overlap in the emission spectra of these isotopes, and the image-degrading effects in SPECT. To address these issues, we propose a multiple-energy-window projection-domain quantification (MEW-PDQ) method that jointly estimates the regional activity uptake of both and directly using the SPECT projection data from multiple energy windows. We evaluated the method with realistic simulation studies conducted with anthropomorphic digital phantoms, including a virtual imaging trial, in the context of imaging patients with bone metastases of prostate cancer who were treated with -based -RPTs. The proposed method yielded reliable (accurate and precise) regional uptake estimates of both isotopes and outperformed state-of-the-art methods across different lesion sizes and contrasts, as well as in the virtual imaging trial. This reliable performance was also observed with moderate levels of intra-regional heterogeneous uptake as well as when there were moderate inaccuracies in the definitions of the support of various regions. Additionally, we demonstrated the effectiveness of using multiple energy windows and the variance of the estimated uptake using the proposed method approached the Cramér-Rao-lower-bound-defined theoretical limit. These results provide strong evidence in support of this method for reliable uptake quantification in -based -RPTs.
Related Topics
Concepts
Thorium
Radium
Joint (building)
Projection (relational algebra)
Window (computing)
Energy (signal processing)
Nuclear medicine
Computer science
Domain (mathematical analysis)
Radiochemistry
Physics
Mathematics
Algorithm
Medicine
Uranium
Chemistry
Statistics
Nuclear physics
Engineering
Operating system
Architectural engineering
Mathematical analysis
Metadata
- Type
- article
- Language
- en
- Landing Page
- https://doi.org/10.1109/tmi.2024.3420228
- OA Status
- hybrid
- Cited By
- 7
- References
- 55
- Related Works
- 10
- OpenAlex ID
- https://openalex.org/W4400351025
All OpenAlex metadata
Raw OpenAlex JSON
- OpenAlex ID
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https://openalex.org/W4400351025Canonical identifier for this work in OpenAlex
- DOI
-
https://doi.org/10.1109/tmi.2024.3420228Digital Object Identifier
- Title
-
Joint Regional Uptake Quantification of Thorium-227 and Radium-223 Using a Multiple-Energy-Window Projection-Domain Quantitative SPECT MethodWork title
- Type
-
articleOpenAlex work type
- Language
-
enPrimary language
- Publication year
-
2024Year of publication
- Publication date
-
2024-07-05Full publication date if available
- Authors
-
Zekun Li, Nadia Benabdallah, Richard Laforest, Richard L. Wahl, Daniel L.J. Thorek, Abhinav K. JhaList of authors in order
- Landing page
-
https://doi.org/10.1109/tmi.2024.3420228Publisher landing page
- Open access
-
YesWhether a free full text is available
- OA status
-
hybridOpen access status per OpenAlex
- OA URL
-
https://doi.org/10.1109/tmi.2024.3420228Direct OA link when available
- Concepts
-
Thorium, Radium, Joint (building), Projection (relational algebra), Window (computing), Energy (signal processing), Nuclear medicine, Computer science, Domain (mathematical analysis), Radiochemistry, Physics, Mathematics, Algorithm, Medicine, Uranium, Chemistry, Statistics, Nuclear physics, Engineering, Operating system, Architectural engineering, Mathematical analysisTop concepts (fields/topics) attached by OpenAlex
- Cited by
-
7Total citation count in OpenAlex
- Citations by year (recent)
-
2025: 2, 2024: 5Per-year citation counts (last 5 years)
- References (count)
-
55Number of works referenced by this work
- Related works (count)
-
10Other works algorithmically related by OpenAlex
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| abstract_inverted_index.lesion | 188 |
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| abstract_inverted_index.imaging | 148, 154, 198 |
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| abstract_inverted_index.windows | 239 |
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| abstract_inverted_index.patients | 155 |
| abstract_inverted_index.photons. | 54 |
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| abstract_inverted_index.prostate | 160 |
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| abstract_inverted_index.phantoms, | 144 |
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| abstract_inverted_index.projection | 126 |
| abstract_inverted_index.simulation | 138 |
| abstract_inverted_index.Thorium-227 | 0 |
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| abstract_inverted_index.intra-regional | 210 |
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| abstract_inverted_index.administration, | 19 |
| abstract_inverted_index.anthropomorphic | 142 |
| abstract_inverted_index.image-degrading | 96 |
| abstract_inverted_index.state-of-the-art | 184 |
| abstract_inverted_index.projection-domain | 108 |
| abstract_inverted_index.-particle-emitting | 24 |
| abstract_inverted_index.orders-of-magnitude | 64 |
| abstract_inverted_index.radiopharmaceutical | 4 |
| abstract_inverted_index.multiple-energy-window | 107 |
| abstract_inverted_index.Cramér-Rao-lower-bound-defined | 253 |
| cited_by_percentile_year.max | 98 |
| cited_by_percentile_year.min | 95 |
| countries_distinct_count | 1 |
| institutions_distinct_count | 6 |
| sustainable_development_goals[0].id | https://metadata.un.org/sdg/7 |
| sustainable_development_goals[0].score | 0.7099999785423279 |
| sustainable_development_goals[0].display_name | Affordable and clean energy |
| citation_normalized_percentile.value | 0.80752533 |
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| citation_normalized_percentile.is_in_top_10_percent | True |