Large-Deformation Image Registration Using Fluid Landmarks
نویسندگان
چکیده
For each patient receiving definitive treatment for cervix cancer, several CT/MR imaging studies need to be registered in order to specify the total physical or biological dose to each fixed tissue voxel in an organ system. This turns out to be a difficult problem due to large localized deformations and displacements of bladder, rectum, vagina, uterus and paracervical tissues due to tumor regression, bladder and rectal filling variations, and especially insertion of the applicator itself. This paper explores the utility of using the fluid landmark image registration method to register images before and after insertion of the brachytherapy applicator in order to track radiation dose from one treatment to the next.
منابع مشابه
Image registration using radial basis functions with adaptive radius.
PURPOSE Deformable registration of medical images often requires initial rigid alignment. Because of variations in the articulation of bony structures, rigid alignment can capture only limited regions of the image. We propose a method that allows us to compensate for misalignment of mobile parts, which leads to improved accuracy of deformable registration. The method is based on matching landma...
متن کاملUsing Landmarks as a Deformation Prior for Hybrid Image Registration
Hybrid registration schemes are a powerful alternative to fully automatic registration algorithms. Current methods for hybrid registration either include the landmark information as a hard constraint, which is too rigid and leads to difficult optimization problems, or as a soft-constraint, which introduces a difficult to tune parameter for the landmark accuracy. In this paper we model the defor...
متن کاملA cubic B-spline-based hybrid registration
The goal of this study is to develop a matching algorithm that can handle large geometric changes in x-ray computed tomography (CT)-derived lung geometry occurring during deep breath maneuvers. These geometric relationships are further utilized to build a dynamic lung airway model for computational fluid dynamics (CFD) studies of pulmonary air flow. The proposed algorithm is based on a cubic B-...
متن کاملDetection of Time-Varying Structures by Large Deformation Diffeomorphic Metric Mapping to Aid Reading of High-Resolution CT Images of the Lung
OBJECTIVES To evaluate the accuracy of advanced non-linear registration of serial lung Computed Tomography (CT) images using Large Deformation Diffeomorphic Metric Mapping (LDDMM). METHODS FIFTEEN CASES OF LUNG CANCER WITH SERIAL LUNG CT IMAGES (INTERVAL: 62.2±26.9 days) were used. After affine transformation, three dimensional, non-linear volume registration was conducted using LDDMM with or...
متن کاملBrain Warping Via Landmark Points and Curves with a Level Set Representation 1Alex
This paper presents and validates a non-linear image registration method driven by points and curved landmarks using implicit representation. This approach produces smooth one-to-one mappings between topologically equivalent images by constraining the transformations to adhere to continuum mechanical laws. In this paper, the elastic operator is used for fast computation when only small deformat...
متن کامل