Validation of automated image co-registration integrated into in-house software for voxel-based internal dosimetry on singlephoton emission computed tomography images

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Abstract

Objective: To develop an automated co-registration system and test its performance, with and without a fiducial marker, on single-photon emission computed tomography (SPECT) images. Materials and Methods: Three SPECT/CT scans were acquired for each rotation of a Jaszczak phantom (to 0°, 5°, and 10° in relation to the bed axis), with and without a fiducial marker. Two rigid co-registration software packages—SPM12 and NMDosecoreg—were employed, and the percent root mean square error (%RMSE) was calculated in order to assess the quality of the coregistrations. Uniformity, contrast, and resolution were measured before and after co-registration. The NMDose-coreg software was employed to calculate the renal doses in 12 patients treated with177Lu-DOTATATE, and we compared those with the values obtained with the Organ Level INternal Dose Assessment for EXponential Modeling (OLINDA/EXM) software. Results: The use of a fiducial marker had no significant effect on the quality of co-registration on SPECT images, as measured by %RMSE (p = 0.40). After co-registration, uniformity, contrast, and resolution did not differ between the images acquired with fiducial markers and those acquired without. Preliminary clinical application showed mean total processing times of 9 ± 3 min/ patient for NMDose-coreg and 64 ± 10 min/patient for OLINDA/EXM, with a strong correlation between the two, despite the lower renal doses obtained with NMDose-coreg. Conclusion: The use of NMDose-coreg allows fast co-registration of SPECT images, with no loss of uniformity, contrast, or resolution. The use of a fiducial marker does not appear to increase the accuracy of co-registration on phantoms.

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APA

Leitão, A. L. A., Fonda, U. de S., Buchpiguel, C. A., Willegaignon, J., & Sapienza, M. T. (2023). Validation of automated image co-registration integrated into in-house software for voxel-based internal dosimetry on singlephoton emission computed tomography images. Radiologia Brasileira, 56(3), 137–144. https://doi.org/10.1590/0100-3984.2022.0096

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