| Both sides previous revision
Previous revision
Next revision
|
Previous revision
|
main:partialbodyestimatedose [2020/05/22 21:31]
bshirley |
main:partialbodyestimatedose [2020/10/13 15:10]
bshirley |
| ====== Partial-body dose estimation ====== | ====== Partial-body dose estimation ====== |
| **Feature present since ADCI version 1.12**. | **Feature present since ADCI version 1.12**.\\ Manuscript presenting the partial-body algorithm in ADCI: [[http://adcidewiki.cytognomix.com/files/pubs/Estimating_partialbody_ionizing_radiation_exposure_by_automated_cytogenetic_biodosimetry.pdf | Direct link to pdf]] |
| |
| <WRAP group> | <WRAP group> |
| |
| In the event the Contaminated poisson method cannot be performed, all fields listed above will read "Err". At least one image in a test sample must contain >1 DC in order for the method to be performed. Additionally, because of this requirement the Contaminated poisson method cannot be performed on a manually entered DC frequency. | In the event the Contaminated poisson method cannot be performed, all fields listed above will read "Err". At least one image in a test sample must contain >1 DC in order for the method to be performed. Additionally, because of this requirement the Contaminated poisson method cannot be performed on a manually entered DC frequency. |
| | |
| | Above this table, and additional supplementary table labelled "Extended partial-body data" lists values used in the Contaminated poisson method. These fields are: DC Yield in Irradiated Fraction, Fraction of Surviving Cells Reaching Metaphase, Fraction of Irradiated Cells, Dose of Irradiated Fraction, Fraction of Cells Exposed. |
| |
| <WRAP group> | <WRAP group> |
| </WRAP> | </WRAP> |
| </WRAP> | </WRAP> |
| | |
| | |
| | ===== Brief discussion of algorithm ===== |
| | A more detailed explanation of the partial-body algorithm utilized by ADCI can be found in our manuscript published in the International Journal of Radiation Biology (2020): [[http://adcidewiki.cytognomix.com/files/pubs/Estimating_partialbody_ionizing_radiation_exposure_by_automated_cytogenetic_biodosimetry.pdf | Direct link to pdf]] |
| | |
| | Although FP DCs in ADCI are minimized by [[main:fpfilters | morphological image filtering]], they are not completely eliminated. The impact of remaining FP DCs on dose estimates of partially irradiated samples was not predictable and affected the accuracy of some estimates, especially at low-dose exposures. Here, we correct the overall DC frequencies by removing the estimated residual FPs after morphological filtering by assuming nearly all DCs detected in the 0Gy calibration sample are FPs. ADCI generates a user-defined number (default: 500) of randomly selected subsets of samples, each subset containing half the number of images present in the original 0Gy calibration sample, or a user-defined number (default: 500) of images, whichever is greater. ADCI then determines the DC frequency of each subset (after application of an [[main:imageselectionmodel | image selection model]]) and calculates the standard deviation. A calibration curve adjusted for FPs is generated by reducing the observed 0Gy calibration sample DC frequency by two SD. DCs are then removed from all other calibration samples based on the residual DC count in the 0Gy sample. The 0Gy calibration sample DC frequency reduced by 2 SD is a conservative estimate of the minimum DC frequency which could reasonably be found in the sample. By removing this reduced number of FPs in test samples, we ensure that DC counts in test samples after FP adjustment are non-negative. |
| |
| <WRAP group> | <WRAP group> |
