Szyszko, Julia Aleksandra ; La Mattina, Antonino Amedeo ; Aldieri, Alessandra ; Viceconti, Marco
(2023)
Phantomless calibration dataset.
Alma Mater Studiorum - Università di Bologna.
DOI 10.6092/unibo/amsacta/7727.
[Dataset]
This is the most updated version of the document.
Full text available as:
Text(testo) (Script)
Repository staff only until 31 May 2025. License: Creative Commons: Attribution 4.0 (CC BY 4.0) Download (3kB) | Request a copy |
|
Text(testo) (ReadMe)
Repository staff only until 31 May 2025. License: Creative Commons: Attribution 4.0 (CC BY 4.0) Download (7kB) | Request a copy |
|
Text(pdf) (ReadMe (pdf))
Repository staff only until 31 May 2025. License: Creative Commons: Attribution 4.0 (CC BY 4.0) Download (50kB) | Request a copy |
|
Text(['mime_type_text/csv' not defined]) (Dataset)
Repository staff only until 31 May 2025. License: Creative Commons: Attribution 4.0 (CC BY 4.0) Download (5kB) | Request a copy |
Abstract
The phantomless calibration dataset comprises data from 41 postmenopausal subjects, including 34 subjects selected from the previously published HFValid cohort (https://doi.org/10.6092/unibo/amsacta/7277). This dataset includes detailed CT scan information and calibration coefficients for both phantom-based and phantomless calibration methods. Additionally, the dataset provides a custom Matlab script (compatible with release R2022b, The Mathworks Inc) designed to calculate the slope and intercept required for CT calibration. This script utilizes air, adipose, and muscle tissues in the phantomless calibration process.
Abstract
Other metadata
Available versions of this document
-
Phantomless calibration dataset. (deposited 20 Dec 2023 11:21)
- Phantomless calibration dataset. (deposited 29 May 2024 12:36) [Currently displayed]