Image registration with uncertainty analysis

Title: Image registration with uncertainty analysis

Full Record
Other Related Research

Abstract

In an image registration method, edges are detected in a first image and a second image. A percentage of edge pixels in a subset of the second image that are also edges in the first image shifted by a translation is calculated. A best registration point is calculated based on a maximum percentage of edges matched. In a predefined search region, all registration points other than the best registration point are identified that are not significantly worse than the best registration point according to a predetermined statistical criterion.

Inventors:

Simonson, Katherine M ^[1]

Cedar Crest, NM

Publication Date:: 2011-03-22

Research Org.:: Sandia National Laboratories (SNL), Albuquerque, NM, and Livermore, CA (United States)

Sponsoring Org.:: USDOE

OSTI Identifier:: 1015594

Patent Number(s):: 7,912,321

Application Number:: US Patent Application 11/305,903

Assignee:: Sandia Corporation (Albuquerque, NM)

DOE Contract Number:: AC04-94AL85000

Resource Type:: Patent

Country of Publication:: United States

Language:: English

Subject:: 97 MATHEMATICS AND COMPUTING

Citation Formats


                    Simonson, Katherine M. Image registration with uncertainty analysis.  United States: N. p., 2011. 
        Web.

Copy to clipboard


                    Simonson, Katherine M. Image registration with uncertainty analysis.  United States.

Copy to clipboard


                    Simonson, Katherine M. Tue .  
        "Image registration with uncertainty analysis".  United States.  https://www.osti.gov/servlets/purl/1015594.

Copy to clipboard


                    
@article{osti_1015594,

  title        = {Image registration with uncertainty analysis},

  author       = {Simonson, Katherine M},

  abstractNote = {In an image registration method, edges are detected in a first image and a second image. A percentage of edge pixels in a subset of the second image that are also edges in the first image shifted by a translation is calculated. A best registration point is calculated based on a maximum percentage of edges matched. In a predefined search region, all registration points other than the best registration point are identified that are not significantly worse than the best registration point according to a predetermined statistical criterion.},

  doi          = {},

  url          = {https://www.osti.gov/biblio/1015594},
  journal      = {},
number       = ,

  volume       = ,

  place        = {United States},

  year         = {2011},

  month        = {3}

}

Copy to clipboard

Patent:

View Patent

Save / Share:

Export Metadata

Save to My Library

Similar records in OSTI.GOV collections:

Automated comparison of scintigraphic images

Journal Article Venot, A ; Liehn, J C ; Lebruchec, J F ; ... - J. Nucl. Med.; (United States)

New algorithms for automated comparison of scintigraphic images have been developed and are described here. The first step presented here is the registration of the images, performed by optimizing, with respect to the registration parameters (two translational shifts, one angle of rotation, the two parameters of a linear transformation of the gray levels), the stochastic sign change (SSC) criterion. The optimization of this criterion is demonstrated to be efficiently performed using the adaptative random search strategy; a more limited but less time-consuming method is also presented. The second step described is the point-by-point comparison of the registered images. The pixel-by-pixelmore »« less
Robust methods for automatic image-to-world registration in cone-beam CT interventional guidance

Journal Article Dang, H. ; Otake, Y. ; Schafer, S. ; ... - Medical Physics

Purpose: Real-time surgical navigation relies on accurate image-to-world registration to align the coordinate systems of the image and patient. Conventional manual registration can present a workflow bottleneck and is prone to manual error and intraoperator variability. This work reports alternative means of automatic image-to-world registration, each method involving an automatic registration marker (ARM) used in conjunction with C-arm cone-beam CT (CBCT). The first involves a Known-Model registration method in which the ARM is a predefined tool, and the second is a Free-Form method in which the ARM is freely configurable. Methods: Studies were performed using a prototype C-arm for CBCTmore »« less
https://doi.org/10.1118/1.4754589
The Frobenius metric in image registration: Technical report

Technical Report Zikan, K ; Silberberg, T M

Image registration involves estimating how one set of n-dimensional points is rotated, scaled, and translated into a second set of n-dimensional points. In practice, n is usually 2 or 3. We consider a Frobenius norm approach in which a point-to-point matching between the sets (if they are of the same cardinalities) and the corresponding transformation are determined. Two strategies are investigated: the pruned tree approach and the parametric linear programming approach. Various versions of tree pruning approach have been investigated by other authors, whereas the parametric programming method is believed to be new. It addresses several inherent problems of themore »« less
3D interfractional patient position verification using 2D-3D registration of orthogonal images

Journal Article Jans, H -S ; Syme, A M ; Rathee, S ; ... - Medical Physics

Reproducible positioning of the patient during fractionated external beam radiation therapy is imperative to ensure that the delivered dose distribution matches the planned one. In this paper, we expand on a 2D-3D image registration method to verify a patient's setup in three dimensions (rotations and translations) using orthogonal portal images and megavoltage digitally reconstructed radiographs (MDRRs) derived from CT data. The accuracy of 2D-3D registration was improved by employing additional image preprocessing steps and a parabolic fit to interpolate the parameter space of the cost function utilized for registration. Using a humanoid phantom, precision for registration of three-dimensional translations wasmore »« less
https://doi.org/10.1118/1.2192907
Reconstruction of 3D lung models from 2D planning data sets for Hodgkin's lymphoma patients using combined deformable image registration and navigator channels

Journal Article Ng, Angela ; Nguyen, Thao-Nguyen ; Moseley, Joanne L. ; ... - Medical Physics

Purpose: Late complications (cardiac toxicities, secondary lung, and breast cancer) remain a significant concern in the radiation treatment of Hodgkin's lymphoma (HL). To address this issue, predictive dose-risk models could potentially be used to estimate radiotherapy-related late toxicities. This study investigates the use of deformable image registration (DIR) and navigator channels (NCs) to reconstruct 3D lung models from 2D radiographic planning images, in order to retrospectively calculate the treatment dose exposure to HL patients treated with 2D planning, which are now experiencing late effects. Methods: Three-dimensional planning CT images of 52 current HL patients were acquired. 12 image sets weremore »« less
https://doi.org/10.1118/1.3284368

Similar Records