Image Registration Accuracy Estimation Without Ground Truth Using Bootstrap

2006 ◽  
pp. 61-72 ◽  
Author(s):  
Jan Kybic ◽  
Daniel Smutek
Keyword(s):  
Image Registration ◽  
Ground Truth ◽  
Registration Accuracy ◽  
Accuracy Estimation

scholarly journals Detection of vessel bifurcations in CT scans for automatic objective assessment of deformable image registration accuracy

2021 ◽  
Author(s):  
Guillaume Cazoulat ◽  
Brian M Anderson ◽  
Molly M McCulloch ◽  
Bastien Rigaud ◽  
Eugene J Koay ◽  
...  
Keyword(s):  
Image Registration ◽  
Objective Assessment ◽  
Deformable Image Registration ◽  
Ct Scans ◽  
Registration Accuracy ◽  
Vessel Bifurcations

Objective Evaluation of Three-dimensional Image Registration Algorithms – Tools for Optimization and Evaluation

2004 ◽  
Vol 43 (04) ◽  
pp. 367-370 ◽  
Author(s):  
U. Morgenstern ◽  
R. Steinmeier ◽  
F. Uhlemann
Keyword(s):  
Image Registration ◽  
Imaging Modality ◽  
Quality Measures ◽  
Objective Evaluation ◽  
Systematic Evaluation ◽  
Computer Assisted ◽  
Numerical Comparison ◽  
Volume Data ◽  
Registration Accuracy ◽  
Realistic Data

Summary Objective: The registration of medical volume data sets plays an important role when different images or modalities are used during computer-assisted surgical procedures. Nevertheless, it is often questionable how robust and accurate the underlying algorithms really are. Therefore, the goal is to foster the establishment of methods for an objective evaluation. Method: To reliably calculate the accuracy of registration algorithms, a reference transformation must be known. Due to the unknown perfect registration for real clinical data, the simulation of realistic data and successive affine transformations are employed. The simulation is based on models of the respective imaging modality where the dominant physical effects are taken into account. This gives the user full control over all simulation and transformation parameters. Finally, suitable quality measures are applied which allow a systematic evaluation of image registration accuracy by comparing the known theoretical result and the transformation calculated by the algorithm under investigation. Results: During the development of a new registration algorithm, the presented method proved to be a very valuable tool for optimization and evaluation of registration accuracy, since it allows objective numerical comparison of the calculated results. Conclusions: The presented method can be used during the development of algorithms for optimization and for quantitative comparison of different registration schemes. The respective software tool can automatically generate and transform simulated but realistic data. Employing suitable numerical quality measures, an objective evaluation of registration results can be easily obtained. Still, the validity of the relatively simple models has to be verified to draw reliable conclusions with respect to real data.

Multi‐atlas–based auto‐segmentation for prostatic urethra using novel prediction of deformable image registration accuracy

2020 ◽  
Vol 47 (7) ◽  
pp. 3023-3031
Author(s):  
Hisamichi Takagi ◽  
Noriyuki Kadoya ◽  
Tomohiro Kajikawa ◽  
Shohei Tanaka ◽  
Yoshiki Takayama ◽  
...  
Keyword(s):  
Image Registration ◽  
Deformable Image Registration ◽  
Prostatic Urethra ◽  
Registration Accuracy

Impact of deformable image registration accuracy on thoracic images with different regularization weight parameter settings

2017 ◽  
Vol 42 ◽  
pp. 108-111 ◽  
Author(s):  
Hideharu Miura ◽  
Shuichi Ozawa ◽  
Minoru Nakao ◽  
Kengo Furukawa ◽  
Yoshiko Doi ◽  
...  
Keyword(s):  
Image Registration ◽  
Deformable Image Registration ◽  
Registration Accuracy ◽  
Weight Parameter
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