ArticleInternational journal of computer assisted radiology and surgery2019
Multimodal image registration for liver radioembolization planning and patient assessment.
Article in International journal of computer assisted radiology and surgery, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed, 13 citations in OpenAlex.
- Diffeomorphic transformer-based abdomen MRI-CT deformable image registration.Medical physics · 2024Article
- Article
- Trends in Selective Internal Radiation Therapy (SIRT) for Treating Hepatocellular Carcinoma, Cholangiocarcinoma, and Liver Metastasis: A Total Population Analysis from 2006 to 2021 in Germany.Current oncology (Toronto, Ont.) · 2023Article
- SPECT and CT misregistration reduction in [European journal of nuclear medicine and molecular imaging · 2023Article
- Enhancing the depth perception of DSA images with 2D-3D registration.Frontiers in neurology · 2023Article
- Segmentation-guided multi-modal registration of liver images for dose estimation in SIRT.EJNMMI physics · 2022Article
- Dose accumulation for MR-guided adaptive radiotherapy: From practical considerations to state-of-the-art clinical implementation.Frontiers in oncology · 2022Review
- Imaging Diagnosis of Primary Liver Cancer Using Magnetic Resonance Dilated Weighted Imaging and the Treatment Effect of Sorafenib.Computational and mathematical methods in medicine · 2022Article
- Generation of annotated multimodal ground truth datasets for abdominal medical image registration.International journal of computer assisted radiology and surgery · 2021Article
- Catheter navigation support for liver radioembolization guidance: feasibility of structure-driven intensity-based registration.International journal of computer assisted radiology and surgery · 2020Review
Corrections and comments
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Authors and funding
5 authors at 3 institutions in 2 countries.
Funding
Abstract
purposeMultimodal imaging plays a key role in patient assessment and treatment planning in liver radioembolization. It will reach its full potential for convenient use in combination with deformable image registration methods. A registration framework is proposed for multimodal liver image registration of multi-phase CT, contrast-enhanced late-phase T1, T2, and DWI MRI sequences.
methodsA chain of four pair-wise image registrations based on a variational registration framework using normalized gradient fields as distance measure and curvature regularization is introduced. A total of 103 cases of 35 patients was evaluated based on anatomical landmarks and deformation characteristics.
resultsGood anatomical correspondence and physical plausibility of the deformation fields were attained. The global mean landmark errors vary from 3.20 to 5.36 mm, strongly influenced by low resolved images in z-direction. Moderate volume changes are indicated by mean minimum and maximum Jacobian determinants of 0.44 up to 1.88. No deformation foldings were detected. The mean average divergence of the deformation fields range from 0.08 to 0.16 and the mean harmonic energies vary from 0.08 to 0.58.
conclusionThe proposed registration solutions enable the combined use of information from multimodal imaging and provide an excellent basis for patient assessment and primary planning for liver radioembolization.
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