ArticleEJNMMI research2019
Multi-modal image analysis for semi-automatic segmentation of the total liver and liver arterial perfusion territories for radioembolization.
Article in EJNMMI research, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed, 36 citations in OpenAlex.
- Predictive value of [European journal of nuclear medicine and molecular imaging · 2026Article
- A feasibility study on multimodal CT-MRI registration using segmentation aid and CoLlAGe feature extraction approach.Abdominal radiology (New York) · 2026Article
- Assessing the suitability of automated registration and segmentation for dosimetry calculations in SIRT treatment planning.EJNMMI physics · 2026Article
- The evolution of surrogate microspheres in transarterial radioembolization: from SPECT prediction to multimodal AI-guided precision dosimetry.Theranostics · 2026Review
- Multimodal imaging techniques in Yttrium-90 radioembolization for hepatocellular carcinoma: a modality-oriented clinical review.Frontiers in oncology · 2026Review
- Clinical and dosimetric considerations for yttrium-90 glass microspheres radioembolization of intrahepatic cholangiocarcinoma, metastatic colorectal carcinoma, and metastatic neuroendocrine carcinoma: recommendations from an international multidisciplinary working group.European journal of nuclear medicine and molecular imaging · 2025Review
- A Review of Advancements and Challenges in Liver Segmentation.Journal of imaging · 2024Review
- Intraprocedural C-arm dual-phase cone-beam enhancement patterns correlate with tumor absorbed dose after radioembolization.Medical physics · 2024Article
- Accuracy and reproducibility of a cone beam CT-based virtual parenchymal perfusion algorithm in the prediction of SPECT/CT anatomical and volumetric results during the planification of radioembolization for HCC.European radiology · 2023Article
- Maximum tumor-absorbed dose measured by voxel-based multicompartmental dosimetry as a response predictor in yttrium-90 radiation segmentectomy for hepatocellular carcinoma.EJNMMI physics · 2023Article
- The Role of Catheter-Directed CT-Angiography in Radioembolisation.Cardiovascular and interventional radiology · 2022Review
- Segmentation-guided multi-modal registration of liver images for dose estimation in SIRT.EJNMMI physics · 2022Article
- Automated segmentation of lung, liver, and liver tumors from Tc-99m MAA SPECT/CT images for Y-90 radioembolization using convolutional neural networks.Medical physics · 2021Article
- EANM dosimetry committee series on standard operational procedures: a unified methodology forEJNMMI physics · 2021Article
- Quantifying the unknown impact of segmentation uncertainty on image-based simulations.Nature communications · 2021Article
- Comparison of the Uptake of Hepatocellular Carcinoma on Pre-Therapeutic MDCT, CACT, and SPECT/CT, and the Correlation with Post-Therapeutic PET/CT in Patients Undergoing Selective Internal Radiation Therapy.Journal of clinical medicine · 2021Article
- The joint use ofEJNMMI research · 2021Article
- Deep Learning-Based Image Segmentation of Cone-Beam Computed Tomography Images for Oral Lesion Detection.Journal of healthcare engineering · 2021Article
- Catheter navigation support for liver radioembolization guidance: feasibility of structure-driven intensity-based registration.International journal of computer assisted radiology and surgery · 2020Review
- Whole liver segmentation based on deep learning and manual adjustment for clinical use in SIRT.European journal of nuclear medicine and molecular imaging · 2020Article
Corrections and comments
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Authors and funding
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeWe have developed a multi-modal imaging approach for SIRT, combining
methodIn this paper, we proposed a procedure for multi-modal image analysis to assist SIRT treatment planning. The pre-treatment
resultOur 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 limited impact on dosimetry. The image registration performs well according to the expert reviewer (scored as perfect or with little misalignment in 94% of the cases). The semi-automatic liver segmentation agreed well with manual liver segmentation (dice coefficient of 0.92 and an average Hausdorff distance of 3.04 mm). The results showed disagreement between lobe segmentation using CBCT images compared to lobe segmentation based on CT images (average Hausdorff distance of 14.18 mm), with a high impact on the dosimetry (differences up to 9 Gy for right and 21 Gy for the left liver lobe).
conclusionThis methodology can be used for pre-treatment dosimetry and for SIRT planning including the determination of the activity that should be administered to achieve the therapeutical goal. The inclusion of perfusion CBCT enables perfusion-based definition of the liver lobes, which was shown to be markedly different from the anatomical definition in some of the patients.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.