Technical Note: Patient-morphed mesh-type phantoms to support personalized nuclear medicine dosimetry - a proof of concept study.
Technical Note: Patient-morphed mesh-type phantoms to support personalized nuclear medicine dosimetry - a proof of concept study.
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DOI:
10.1002/mp.14784
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发表时间:
2021-04
期刊:
影响因子:
3.8
通讯作者:
Kesner AL
中科院分区:
文献类型:
--
作者:
Carter LM;Camilo Ocampo Ramos J;Bolch WE;Lewis JS;Kesner AL
Current standard practice for clinical radionuclide dosimetry utilizes reference phantoms, where defined organ dimensions represent population averages for a given sex and age. Greater phantom personalization would support more accurate dose estimations and personalized dosimetry. Tailoring phantoms is traditionally accomplished using operator-intensive organ-level segmentation of anatomic images. Modern mesh phantoms provide enhanced anatomical realism, which has motivated their integration within Monte Carlo codes. Here, we present an automatable strategy for generating patient specific phantoms/dosimetry using intensity-based deformable image registration between mesh reference phantoms and patient CT images. This work demonstrates a proof-of-concept personalized dosimetry workflow, presented in comparison to the manual segmentation approach. A linear attenuation coefficient phantom was generated by resampling the PSRK-Man reference phantom onto a voxel grid and defining organ regions with corresponding Hounsfield unit (HU) reference values. The HU phantom was co-registered with a patient CT scan using Plastimatch B-spline deformable registration. In parallel, major organs were manually contoured to generate a ‘ground truth’ patient-specific phantom for comparisons. Monte Carlo derived S-values, which support nuclear medicine dosimetry, were calculated using both approaches and compared. Application of the derived B-spline transform to the polygon vertices comprising the PSRK-Man yielded a deformed variant more closely matching the patient’s body contour and most organ volumes as-evaluated by Hausdorff distance and Dice metrics. S-values computed for fluorine-18 for the deformed phantom using the Particle and Heavy Ion Transport code System showed improved agreement with those derived from the patient-specific analog. Deformable registration techniques can be used to create a personalized phantom and better support patient-specific dosimetry. This method is shown to be easier and faster than manual segmentation. Our study is limited to a proof-of-concept scope, but demonstrates that integration of personalized phantoms into clinical dosimetry workflows can reasonably be achieved when anatomical images (CT) are available.
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影响因子:
3.5
作者:
Geyer AM;O'Reilly S;Lee C;Long DJ;Bolch WE
通讯作者:
Bolch WE
DOI:
10.1016/j.ejmp.2017.06.003
发表时间:
2017-07-01
影响因子:
3.4
作者:
Zvereva, Alexandra;Schlattl, Helmut;Parodi, Katia
通讯作者:
Parodi, Katia
影响因子:
4.4
作者:
Clark, Kenneth;Vendt, Bruce;Prior, Fred
通讯作者:
Prior, Fred
影响因子:
9.3
作者:
Bolch, Wesley E.;Eckerman, Keith F.;Thomas, Stephen R.
通讯作者:
Thomas, Stephen R.
DOI:
10.1109/jproc.2009.2022417
发表时间:
2009-12
期刊:
Proceedings of the IEEE. Institute of Electrical and Electronics Engineers
影响因子:
--
作者:
Paul Segars W;Tsui BM
通讯作者:
Tsui BM