Non-Rigid Registration of Liver CT Images for CT-Guided Ablation of Liver Tumors
| Autor: | Wiro J. Niessen, Adriaan Moelker, Ha Manh Luu, Camiel Klink, Theo van Walsum |
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| Přispěvatelé: | Medical Informatics, Radiology & Nuclear Medicine |
| Jazyk: | angličtina |
| Rok vydání: | 2016 |
| Předmět: |
Male
Percutaneous medicine.medical_treatment Cancer Treatment lcsh:Medicine 030218 nuclear medicine & medical imaging Diagnostic Radiology 0302 clinical medicine Medicine and Health Sciences Image Processing Computer-Assisted lcsh:Science Tomography Multidisciplinary medicine.diagnostic_test Radiology and Imaging Physics Liver Neoplasms Classical Mechanics Interventional radiology Ablation Magnetic Resonance Imaging Deformation Oncology Liver 030220 oncology & carcinogenesis Physical Sciences Female Radiology Research Article medicine.medical_specialty Imaging Techniques Image registration Image processing Neuroimaging Research and Analysis Methods 03 medical and health sciences Sørensen–Dice coefficient Diagnostic Medicine medicine Cancer Detection and Diagnosis Humans Damage Mechanics business.industry lcsh:R CT guided ablation Biology and Life Sciences Image Enhancement Computed Axial Tomography Gastrointestinal Imaging lcsh:Q business Tomography X-Ray Computed Liver and Spleen Scan Neuroscience |
| Zdroj: | PLoS ONE PLoS ONE, Vol 11, Iss 9, p e0161600 (2016) PLoS One (print), 11(9):e0161600. Public Library of Science |
| ISSN: | 1932-6203 |
| Popis: | CT-guided percutaneous ablation for liver cancer treatment is a relevant technique for patients not eligible for surgery and with tumors that are inconspicuous on US imaging. The lack of real-time imaging and the use of a limited amount of CT contrast agent make targeting the tumor with the needle challenging. In this study, we evaluate a registration framework that allows the integration of diagnostic pre-operative contrast enhanced CT images and intra-operative non-contrast enhanced CT images to improve image guidance in the intervention. The liver and tumor are segmented in the pre-operative contrast enhanced CT images. Next, the contrast enhanced image is registered to the intra-operative CT images in a two-stage approach. First, the contrast-enhanced diagnostic image is non-rigidly registered to a non-contrast enhanced image that is conventionally acquired at the start of the intervention. In case the initial registration is not sufficiently accurate, a refinement step is applied using non-rigid registration method with a local rigidity term. In the second stage, the intra-operative CT-images that are used to check the needle position, which often consist of only a few slices, are registered rigidly to the intra-operative image that was acquired at the start of the intervention. Subsequently, the diagnostic image is registered to the current intra-operative image, using both transformations, this allows the visualization of the tumor region extracted from pre-operative data in the intra-operative CT images containing needle. The method is evaluated on imaging data of 19 patients at the Erasmus MC. Quantitative evaluation is performed using the Dice metric, mean surface distance of the liver border and corresponding landmarks in the diagnostic and the intra-operative images. The registration of the diagnostic CT image to the initial intra-operative CT image did not require a refinement step in 13 cases. For those cases, the resulting registration had a Dice coefficient for the livers of 91.4%, a mean surface distance of 4.4 mm and a mean distance between corresponding landmarks of 4.7 mm. For the three cases with a refinement step, the registration result significantly improved (p |
| Databáze: | OpenAIRE |
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