Multi-fraction cervical cancer brachytherapy is a form of image-guided radiotherapy that heavily relies on 3D imaging during treatment planning, delivery, and quality control. In this context, deformable image registration can increase the accuracy of dosimetric evaluations, provided that one can account for the uncertainties associated with the registration process. To enable such capability, ...

This paper presents a method for retrieving a corresponding map of a captured map image from a map database. Our method is inspired from LLAH based Document Image Retrieval (DIR). LLAH is a method for recognizing a point by using a LLAH feature composed of its neighbor points. Since Map Image Retrieval (MIR) is achieved by analyzing distribution of intersections, the LLAH feature is used in ord...

This paper proposes a novel method for image registration of lung CT scans. Our approach consists of a procedure for automatically establishing landmark correspondences in lung CT scan pairs and an elaborate variational image registration scheme. The landmark information is incorporated into the registration scheme as pre-registration using the landmark-based Thin-Plate-Spline (TPS) method. The...

Non-rigid image registration is an interesting and challenging research work in medical image processing, computer vision and remote sensing fields. In order to increase the registration accuracy, this paper designs a composite registration algorithm of a rigid transform and free form deformation. Because NURBS (Non-uniform Rational B Spline) with a non-uniform grid has a higher registration pr...

We introduce a novel discrete optimization method for non-rigid image registration based on the random walker algorithm. We discretize the space of deformations and formulate registration using a Gaussian MRF where continuous labels correspond to the probability of a point having a certain discrete deformation. The interaction (regularization) term of the corresponding MRF energy is convex and ...

The paper describes a novel multi-resolution registration method. It is fast, robust and offers high registration accuracy. The algorithm models deformations using an elastic spring mass system, which contains sparse masses interconnected by springs. The proposed method uses data intensity values to guide deformation with local constraints imposed by interaction of interconnecting springs. More...

PURPOSE To validate and compare the deformable image registration and parotid contour propagation process for head and neck magnetic resonance imaging in patients treated with radiotherapy using 3 different approaches-the commercial MIM, the open-source Elastix software, and an optimized version of it. MATERIALS AND METHODS Twelve patients with head and neck cancer previously treated with rad...

AbstractPurpose A major burden of introducing an online daily adaptive proton therapy (DAPT) workflow is the time and resources needed to correct propagated contours. In this study, we evaluated dosimetric impact neglecting correction contours in a DAPT workflow. Material methods For five NSCLC patients with nine repeated deep-inspiration breath-hold CTs, plans were o...

In this paper, we present a new approach to tackle simultaneously linear and deformable registration between a pair of images. Our combined formulation avoids the bias created when linear registration is performed independently before a deformable registration. Our registration problem is formulated as a discrete Markov Random Field employing a higher order objective function. To cope with both...

Image registration is the process of aligning separate images into a common reference frame so that they can be compared visually or statistically. In order for this alignment to be accurate and correct it is important to identify the correct anatomical correspondences between different subjects. We propose a new approach for a feature-based, inter-subject deformable image registration method u...