Effect of voxel size and computation method on Tc-99m MAA SPECT/CT-based dose estimation for Y-90 microsphere therapy

Alexander Pasciak, William D. Erwin

Research output: Contribution to journalArticle

15 Citations (Scopus)

Abstract

The use of selective internal radiation therapy for treatment of hepatocellular carcinoma and liver metastases using Y-90 labeled microspheres has become an effective and widely used treatment regimen. However, dosimetric evaluations of this treatment are still primitive as uniform distribution models based only on injected activity are often used. This investigation attempts to quantify the effectiveness of several sophisticated patient-specific techniques which utilize the source distribution of Tc-99m MAA simulation studies to perform voxelized dosimetric computations. Among these techniques are complete Monte-Carlo radiation transport computation in patient-specific CT-based voxel phantoms, local energy deposition in patient specific phantoms and kernel transport techniques in water. Each technique was evaluated using three different phantom voxel dimensions and SPECT reconstruction matrix sizes. Dose evaluation results using all methods were compared to the exact solution, obtained using fully 3-D Monte-Carlo simulations with source distribution based not on SPECT data, but on the injected activity and exact boundaries of the anthropomorphic phantom used in the study. The results of this study show that at large voxel sizes and using SPECT reconstructions with a small matrix size (64 $\,\times\,$64), Monte-Carlo and local deposition methods are nearly equivalent. However, using a large SPECT reconstruction matrix (256$\,\times\,$ 256) the local deposition method is significantly more accurate than full 3-D Monte-Carlo transport, and with a negligible computational burden.

Original language English (US) 4967961 1754-1758 5 IEEE Transactions on Medical Imaging 28 11 https://doi.org/10.1109/TMI.2009.2022753 Published - Nov 1 2009

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Technetium Tc 99m Aggregated Albumin
Single-Photon Emission-Computed Tomography
Microspheres
Liver
Therapeutics
Hepatocellular Carcinoma
Neoplasm Metastasis
Single Photon Emission Computed Tomography Computed Tomography
Water

All Science Journal Classification (ASJC) codes

• Software
• Computer Science Applications
• Electrical and Electronic Engineering

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In: IEEE Transactions on Medical Imaging, Vol. 28, No. 11, 4967961, 01.11.2009, p. 1754-1758.

Research output: Contribution to journalArticle

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