Hybrid kernelised expectation maximisation for Bremsstrahlung SPECT reconstruction in SIRT with 90Y micro-spheres

Background: Selective internal radiation therapy with Yttrium-90 microspheres is an effective therapy for liver cancer and liver metastases. Yttrium-90 is mainly a high-energy beta particle emitter. These beta particles emit Bremsstrahlung radiation during their interaction with tissue making post-t...

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Bibliographic Details
Main Authors: Deidda, D. (Author), Denis-Bacelar, A.M (Author), Fenwick, A.J (Author), Ferreira, K.M (Author), Heetun, W. (Author), Hutton, B.F (Author), Robinson, A.P (Author), Scuffham, J. (Author), Thielemans, K. (Author)
Format: Article
Language:English
Published: Springer Science and Business Media Deutschland GmbH 2022
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Online Access:View Fulltext in Publisher
LEADER 03013nam a2200289Ia 4500
001 0.1186-s40658-022-00452-4
008 220421s2022 CNT 000 0 und d
020 |a 21977364 (ISSN) 
245 1 0 |a Hybrid kernelised expectation maximisation for Bremsstrahlung SPECT reconstruction in SIRT with 90Y micro-spheres 
260 0 |b Springer Science and Business Media Deutschland GmbH  |c 2022 
856 |z View Fulltext in Publisher  |u https://doi.org/10.1186/s40658-022-00452-4 
520 3 |a Background: Selective internal radiation therapy with Yttrium-90 microspheres is an effective therapy for liver cancer and liver metastases. Yttrium-90 is mainly a high-energy beta particle emitter. These beta particles emit Bremsstrahlung radiation during their interaction with tissue making post-therapy imaging of the radioactivity distribution feasible. Nevertheless, image quality and quantification is difficult due to the continuous energy spectrum which makes resolution modelling, attenuation and scatter estimation challenging and therefore the dosimetry quantification is inaccurate. As a consequence a reconstruction algorithm able to improve resolution could be beneficial. Methods: In this study, the hybrid kernelised expectation maximisation (HKEM) is used to improve resolution and contrast and reduce noise, in addition a modified HKEM called frozen HKEM (FHKEM) is investigated to further reduce noise. The iterative part of the FHKEM kernel was frozen at the 72nd sub-iteration. When using ordered subsets algorithms the data is divided in smaller subsets and the smallest algorithm iterative step is called sub-iteration. A NEMA phantom with spherical inserts was used for the optimisation and validation of the algorithm, and data from 5 patients treated with Selective internal radiation therapy were used as proof of clinical relevance of the method. Results: The results suggest a maximum improvement of 56% for region of interest mean recovery coefficient at fixed coefficient of variation and better identification of the hot volumes in the NEMA phantom. Similar improvements were achieved with patient data, showing 47% mean value improvement over the gold standard used in hospitals. Conclusions: Such quantitative improvements could facilitate improved dosimetry calculations with SPECT when treating patients with Selective internal radiation therapy, as well as provide a more visible position of the cancerous lesions in the liver. © 2022, The Author(s). 
650 0 4 |a Bremsstrahlung imaging 
650 0 4 |a Kernel method 
650 0 4 |a SPECT-CT 
650 0 4 |a Synergistic image reconstruction 
650 0 4 |a Tomographic image reconstruction 
700 1 0 |a Deidda, D.  |e author 
700 1 0 |a Denis-Bacelar, A.M.  |e author 
700 1 0 |a Fenwick, A.J.  |e author 
700 1 0 |a Ferreira, K.M.  |e author 
700 1 0 |a Heetun, W.  |e author 
700 1 0 |a Hutton, B.F.  |e author 
700 1 0 |a Robinson, A.P.  |e author 
700 1 0 |a Scuffham, J.  |e author 
700 1 0 |a Thielemans, K.  |e author 
773 |t EJNMMI Physics