Suitability of Parametric Shepard Interpolation for Nonrigid Image Registration

نویسندگان

  • A. Ardeshir Goshtasby
  • Ardeshir Goshtasby
چکیده

Shepard interpolation is known to produce flat horizontal spots at and around data points. The phenomenon is caused by Shepard’s use of rational inversedistance weight functions, producing similar values around data points. In this paper, a parametric version of Shepard interpolation is introduced that avoids flat horizontal spots. Because Shepard interpolation or its parametric version does not require the solution of a system of equations, the interpolation is stable under varying density and organization of data points as well as under highly varying data values. The suitability of parametric Shepard interpolation in nonrigid image registration is investigated and its speed and accuracy are compared with those of multiquadric, thin-plate spline, and moving least-squares.

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

A Study on Robustness of Various Deformable Image Registration Algorithms on Image Reconstruction Using 4DCT Thoracic Images

Background: Medical image interpolation is recently introduced as a helpful tool to obtain further information via initial available images taken by tomography systems. To do this, deformable image registration algorithms are mainly utilized to perform image interpolation using tomography images.Materials and Methods: In this work, 4DCT thoracic images of five real patients provided by DI...

متن کامل

Comparison Between Parzen Window Interpolation and Generalised Partial Volume Estimation for Nonrigid Image Registration Using Mutual Information

Because of its robustness and accuracy for a variety of applications, either monomodal or multimodal, mutual information (MI) is a very popular similarity measure for (medical) image registration. Calculation of MI is based on the joint histogram of the two images to be registered, expressing the statistical relationship between image intensities at corresponding positions. However, the calcula...

متن کامل

A Parallel Nonrigid Registration Algorithm Based on B-Spline for Medical Images

The nonrigid registration algorithm based on B-spline Free-Form Deformation (FFD) plays a key role and is widely applied in medical image processing due to the good flexibility and robustness. However, it requires a tremendous amount of computing time to obtain more accurate registration results especially for a large amount of medical image data. To address the issue, a parallel nonrigid regis...

متن کامل

Difference entropy as a similarity metric for medical images nonrigid registration

In the present work a similarity metric based on difference image entropy has been investigated for medical images nonrigid registration using block-matching algorithm. The used image histogram size has shown to affect registration accuracy, allowing registration improvements for difference entropy metric, which has shown best results when compared to others two well known metrics in literature...

متن کامل

Gradient Projection Learning for Parametric Nonrigid Registration

A potentially large anatomical variability among subjects in a population makes nonrigid image registration techniques prone to inaccuracies and to high computational costs in their optimisation. In this paper, we propose a new learning-based approach to accelerate the convergence rate of any chosen parametric energy-based image registration method. From a set of training images and their corre...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2014