Yuni K Dewaraja1, Se Young Chun2, Ravi N Srinivasa1, Ravi K Kaza1, Kyle C Cuneo3, Bill S Majdalany1, Paula M Novelli4, Michael Ljungberg5, Jeffrey A Fessler6. 1. Department of Radiology, University of Michigan Medical School, Ann Arbor, MI, USA. 2. School of Electrical and Computer Engineering, Ulsan National Institute of Science and Technology, Ulsan, Korea. 3. Department of Radiation Oncology, University of Michigan Medical School, Ann Arbor, MI, USA. 4. Department of Radiology, University of Pittsburgh, Pittsburgh, PA, USA. 5. Department of Medical Radiation Physics, Lund University, Lund, Sweden. 6. Department of Electrical Engineering and Computer Science, University of Michigan, Ann Arbor, MI, USA.
Abstract
PURPOSE: In 90 Y microsphere radioembolization (RE), accurate post-therapy imaging-based dosimetry is important for establishing absorbed dose versus outcome relationships for developing future treatment planning strategies. Additionally, accurately assessing microsphere distributions is important because of concerns for unexpected activity deposition outside the liver. Quantitative 90 Y imaging by either SPECT or PET is challenging. In 90 Y SPECT model based methods are necessary for scatter correction because energy window-based methods are not feasible with the continuous bremsstrahlung energy spectrum. The objective of this work was to implement and evaluate a scatter estimation method for accurate 90 Y bremsstrahlung SPECT/CT imaging. METHODS: Since a fully Monte Carlo (MC) approach to 90 Y SPECT reconstruction is computationally very demanding, in the present study the scatter estimate generated by a MC simulator was combined with an analytical projector in the 3D OS-EM reconstruction model. A single window (105 to 195-keV) was used for both the acquisition and the projector modeling. A liver/lung torso phantom with intrahepatic lesions and low-uptake extrahepatic objects was imaged to evaluate SPECT/CT reconstruction without and with scatter correction. Clinical application was demonstrated by applying the reconstruction approach to five patients treated with RE to determine lesion and normal liver activity concentrations using a (liver) relative calibration. RESULTS: There was convergence of the scatter estimate after just two updates, greatly reducing computational requirements. In the phantom study, compared with reconstruction without scatter correction, with MC scatter modeling there was substantial improvement in activity recovery in intrahepatic lesions (from > 55% to > 86%), normal liver (from 113% to 104%), and lungs (from 227% to 104%) with only a small degradation in noise (13% vs. 17%). Similarly, with scatter modeling contrast improved substantially both visually and in terms of a detectability index, which was especially relevant for the low uptake extrahepatic objects. The trends observed for the phantom were also seen in the patient studies where lesion activity concentrations and lesion-to-liver concentration ratios were lower for SPECT without scatter correction compared with reconstruction with just two MC scatter updates: in eleven lesions the mean uptake was 4.9 vs. 7.1 MBq/mL (P = 0.0547), the mean normal liver uptake was 1.6 vs. 1.5 MBq/mL (P = 0.056) and the mean lesion-to-liver uptake ratio was 2.7 vs. 4.3 (P = 0.0402) for reconstruction without and with scatter correction respectively. CONCLUSIONS: Quantitative accuracy of 90 Y bremsstrahlung imaging can be substantially improved with MC scatter modeling without significant degradation in image noise or intensive computational requirements.
PURPOSE: In 90 Y microsphere radioembolization (RE), accurate post-therapy imaging-based dosimetry is important for establishing absorbed dose versus outcome relationships for developing future treatment planning strategies. Additionally, accurately assessing microsphere distributions is important because of concerns for unexpected activity deposition outside the liver. Quantitative 90 Y imaging by either SPECT or PET is challenging. In 90 Y SPECT model based methods are necessary for scatter correction because energy window-based methods are not feasible with the continuous bremsstrahlung energy spectrum. The objective of this work was to implement and evaluate a scatter estimation method for accurate 90 Y bremsstrahlung SPECT/CT imaging. METHODS: Since a fully Monte Carlo (MC) approach to 90 Y SPECT reconstruction is computationally very demanding, in the present study the scatter estimate generated by a MC simulator was combined with an analytical projector in the 3D OS-EM reconstruction model. A single window (105 to 195-keV) was used for both the acquisition and the projector modeling. A liver/lung torso phantom with intrahepatic lesions and low-uptake extrahepatic objects was imaged to evaluate SPECT/CT reconstruction without and with scatter correction. Clinical application was demonstrated by applying the reconstruction approach to five patients treated with RE to determine lesion and normal liver activity concentrations using a (liver) relative calibration. RESULTS: There was convergence of the scatter estimate after just two updates, greatly reducing computational requirements. In the phantom study, compared with reconstruction without scatter correction, with MC scatter modeling there was substantial improvement in activity recovery in intrahepatic lesions (from > 55% to > 86%), normal liver (from 113% to 104%), and lungs (from 227% to 104%) with only a small degradation in noise (13% vs. 17%). Similarly, with scatter modeling contrast improved substantially both visually and in terms of a detectability index, which was especially relevant for the low uptake extrahepatic objects. The trends observed for the phantom were also seen in the patient studies where lesion activity concentrations and lesion-to-liver concentration ratios were lower for SPECT without scatter correction compared with reconstruction with just two MC scatter updates: in eleven lesions the mean uptake was 4.9 vs. 7.1 MBq/mL (P = 0.0547), the mean normal liver uptake was 1.6 vs. 1.5 MBq/mL (P = 0.056) and the mean lesion-to-liver uptake ratio was 2.7 vs. 4.3 (P = 0.0402) for reconstruction without and with scatter correction respectively. CONCLUSIONS: Quantitative accuracy of 90 Y bremsstrahlung imaging can be substantially improved with MC scatter modeling without significant degradation in image noise or intensive computational requirements.
Authors: Maarten L J Smits; Mattijs Elschot; Daniel Y Sze; Yung H Kao; Johannes F W Nijsen; Andre H Iagaru; Hugo W A M de Jong; Maurice A A J van den Bosch; Marnix G E H Lam Journal: Cardiovasc Intervent Radiol Date: 2014-12-24 Impact factor: 2.740
Authors: Mattijs Elschot; Marnix G E H Lam; Maurice A A J van den Bosch; Max A Viergever; Hugo W A M de Jong Journal: J Nucl Med Date: 2013-08-01 Impact factor: 10.057
Authors: Nima Kokabi; James R Galt; Minzhi Xing; Juan C Camacho; Bruce J Barron; David M Schuster; Hyun S Kim Journal: J Vasc Interv Radiol Date: 2014-02 Impact factor: 3.464
Authors: Marta Cremonesi; Carlo Chiesa; Lidia Strigari; Mahila Ferrari; Francesca Botta; Francesco Guerriero; Concetta De Cicco; Guido Bonomo; Franco Orsi; Lisa Bodei; Amalia Di Dia; Chiara Maria Grana; Roberto Orecchia Journal: Front Oncol Date: 2014-08-19 Impact factor: 6.244
Authors: Justin K Mikell; Bill S Majdalany; Dawn Owen; Kelly C Paradis; Yuni K Dewaraja Journal: Int J Radiat Oncol Biol Phys Date: 2019-04-22 Impact factor: 7.038
Authors: Se Young Chun; Minh Phuong Nguyen; Thanh Quoc Phan; Hanvit Kim; Jeffrey A Fessler; Yuni K Dewaraja Journal: IEEE Trans Med Imaging Date: 2019-10-23 Impact factor: 10.048
Authors: Britt Kunnen; Martijn M A Dietze; Arthur J A T Braat; Marnix G E H Lam; Max A Viergever; Hugo W A M de Jong Journal: Med Phys Date: 2020-01-20 Impact factor: 4.071
Authors: Yuni K Dewaraja; Theresa Devasia; Ravi K Kaza; Justin K Mikell; Dawn Owen; Peter L Roberson; Matthew J Schipper Journal: J Nucl Med Date: 2019-05-30 Impact factor: 10.057
Authors: Hongki Lim; Jeffrey A Fessler; Scott J Wilderman; Allen F Brooks; Yuni K Dewaraja Journal: Phys Med Biol Date: 2018-05-22 Impact factor: 3.609
Authors: Sara St James; Bryan Bednarz; Stanley Benedict; Jeffrey C Buchsbaum; Yuni Dewaraja; Eric Frey; Robert Hobbs; Joseph Grudzinski; Emilie Roncali; George Sgouros; Jacek Capala; Ying Xiao Journal: Int J Radiat Oncol Biol Phys Date: 2020-08-14 Impact factor: 7.038
Authors: Fourat Ridouani; Mohamed M Soliman; Ryan W England; Meier Hsu; Chaya S Moskowitz; Raphael Doustaly; Constantinos T Sofocleous; F Edward Boas; Hooman Yarmohammadi; Amy R Deipolyi Journal: Eur J Radiol Date: 2021-01-12 Impact factor: 3.528
Authors: Jonathan D Allred; Jeremy Niedbala; Justin K Mikell; Dawn Owen; Kirk A Frey; Yuni K Dewaraja Journal: EJNMMI Res Date: 2018-06-15 Impact factor: 3.138