Three-dimensional liver motion tracking using real-time two-dimensional MRI

التفاصيل البيبلوغرافية
العنوان: Three-dimensional liver motion tracking using real-time two-dimensional MRI
المؤلفون: Thomas Sangild Sørensen, Steffen Ringgaard, Lau Brix, Per Rugaard Poulsen
المصدر: Brix, L, Ringgaard, S, Sørensen, T S & Poulsen, P R 2014, ' Three-dimensional liver motion tracking using real-time two-dimensional MRI ', Medical Physics, vol. 41, no. 4, 042302 . https://doi.org/10.1118/1.4867859
سنة النشر: 2014
مصطلحات موضوعية: Adult, Time Factors, vessel tracking, Computer science, medicine.medical_treatment, Movement, Radiotherapy image guided, Iterative reconstruction, Organ Motion, Imaging, Three-Dimensional, Match moving, Medical imaging, medicine, Humans, Image resolution, MR-Linac, medicine.diagnostic_test, business.industry, Respiration, Cancer, organ motion, Magnetic resonance imaging, General Medicine, Real-time MRI, Middle Aged, medicine.disease, Magnetic Resonance Imaging, Sagittal plane, Radiation therapy, medicine.anatomical_structure, Liver, Coronal plane, Video tracking, real-time MRI, Nuclear medicine, business, Biomedical engineering, MRI, Radiotherapy, Image-Guided
الوصف: PURPOSE: Combined magnetic resonance imaging (MRI) systems and linear accelerators for radiotherapy (MR-Linacs) are currently under development. MRI is noninvasive and nonionizing and can produce images with high soft tissue contrast. However, new tracking methods are required to obtain fast real-time spatial target localization. This study develops and evaluates a method for tracking three-dimensional (3D) respiratory liver motion in two-dimensional (2D) real-time MRI image series with high temporal and spatial resolution.METHODS: The proposed method for 3D tracking in 2D real-time MRI series has three steps: (1) Recording of a 3D MRI scan and selection of a blood vessel (or tumor) structure to be tracked in subsequent 2D MRI series. (2) Generation of a library of 2D image templates oriented parallel to the 2D MRI image series by reslicing and resampling the 3D MRI scan. (3) 3D tracking of the selected structure in each real-time 2D image by finding the template and template position that yield the highest normalized cross correlation coefficient with the image. Since the tracked structure has a known 3D position relative to each template, the selection and 2D localization of a specific template translates into quantification of both the through-plane and in-plane position of the structure. As a proof of principle, 3D tracking of liver blood vessel structures was performed in five healthy volunteers in two 5.4 Hz axial, sagittal, and coronal real-time 2D MRI series of 30 s duration. In each 2D MRI series, the 3D localization was carried out twice, using nonoverlapping template libraries, which resulted in a total of 12 estimated 3D trajectories per volunteer. Validation tests carried out to support the tracking algorithm included quantification of the breathing induced 3D liver motion and liver motion directionality for the volunteers, and comparison of 2D MRI estimated positions of a structure in a watermelon with the actual positions.RESULTS: Axial, sagittal, and coronal 2D MRI series yielded 3D respiratory motion curves for all volunteers. The motion directionality and amplitude were very similar when measured directly as in-plane motion or estimated indirectly as through-plane motion. The mean peak-to-peak breathing amplitude was 1.6 mm (left-right), 11.0 mm (craniocaudal), and 2.5 mm (anterior-posterior). The position of the watermelon structure was estimated in 2D MRI images with a root-mean-square error of 0.52 mm (in-plane) and 0.87 mm (through-plane).CONCLUSIONS: A method for 3D tracking in 2D MRI series was developed and demonstrated for liver tracking in volunteers. The method would allow real-time 3D localization with integrated MR-Linac systems.
تدمد: 2473-4209
URL الوصول: https://explore.openaire.eu/search/publication?articleId=doi_dedup___::76e0ca77554ef77886c3ab26fef906a7
https://pubmed.ncbi.nlm.nih.gov/24694152
حقوق: RESTRICTED
رقم الأكسشن: edsair.doi.dedup.....76e0ca77554ef77886c3ab26fef906a7
قاعدة البيانات: OpenAIRE