Multi-modal image analysis for semi-automatic segmentation of the total liver and liver arterial perfusion territories for radioembolization

EJNMMI Research
Esmaeel Jafargholi RangrazJohan Nuyts

Abstract

We have developed a multi-modal imaging approach for SIRT, combining 99mTc-MAA SPECT/CT and/or 90Y PET, 18F-FDG PET/CT, and contrast-enhanced CBCT for voxel-based dosimetry, as a tool for treatment planning and verification. For radiation dose prediction calculations, a segmentation of the total liver volume and of the liver perfusion territories is required. In this paper, we proposed a procedure for multi-modal image analysis to assist SIRT treatment planning. The pre-treatment 18F-FDG PET/CT, 99mTc-MAA SPECT/CT, and contrast-enhanced CBCT images were registered to a common space using an initial rigid, followed by a deformable registration. The registration was scored by an expert using Likert scores. The total liver was segmented semi-automatically based on the PET/CT and SPECT/CT images, and the liver perfusion territories were determined based on the CBCT images. The segmentations of the liver and liver lobes were compared to the manual segmentations by an expert on a CT image. Our methodology showed that multi-modal image analysis can be used for determination of the liver and perfusion territories using CBCT in SIRT using all pre-treatment studies. The results for image registration showed acceptable alignment with limi...Continue Reading

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Citations

Aug 29, 2019·European Journal of Nuclear Medicine and Molecular Imaging·Javier Orcajo RincónJuan Carlos Alonso Farto
Sep 2, 2020·International Journal of Computer Assisted Radiology and Surgery·Houda HammamiPascal Haigron
Apr 22, 2020·European Journal of Nuclear Medicine and Molecular Imaging·Xikai TangJohan Nuyts
Jan 5, 2021·Abdominal Radiology·Alex LionbergOsman Ahmed
Mar 5, 2021·EJNMMI Research·Macarena Rodríguez-FraileJosé Ignacio Bilbao

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Methods Mentioned

BETA
X-ray

Software Mentioned

SIRTEX
SIRT
Siemens Syngo MMWP Volume
IDL

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