Registration-Based Interpolation Using a High-Resolution Image for Guidance

نویسندگان

  • Graeme P. Penney
  • Julia A. Schnabel
  • Daniel Rueckert
  • David J. Hawkes
  • Wiro J. Niessen
چکیده

A method is presented for interpolation between neighbouring slices in a grey-scale tomographic data set, when a high-resolution image of the same patient is also available. Spatial correspondence between adjacent slices in the high-resolution image are established using a voxel-based non-rigid registration algorithm. These spatial correspondences are used to calculate a set of vectors, which are transferred from the high-resolution image to the lower resolution image by rigidly registering the image volumes together. Linear interpolation is then carried out along these vector directions between neighbouring slices in the low-resolution image. This method has been compared to standard linear interpolation, shape-based interpolation and registration-based interpolation in MR head volumes. Results using a mean square difference error measure show that the proposed method outperforms the other three interpolation techniques.

برای دانلود 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

Multi-frame Super Resolution for Improving Vehicle Licence Plate Recognition

License plate recognition (LPR) by digital image processing, which is widely used in traffic monitor and control, is one of the most important goals in Intelligent Transportation System (ITS). In real ITS, the resolution of input images are not very high since technology challenges and cost of high resolution cameras. However, when the license plate image is taken at low resolution, the license...

متن کامل

Robust Fuzzy Content Based Regularization Technique in Super Resolution Imaging

Super-resolution (SR) aims to overcome the ill-posed conditions of image acquisition. SR facilitates scene recognition from low-resolution image(s). Generally assumes that high and low resolution images share similar intrinsic geometries. Various approaches have tried to aggregate the informative details of multiple low-resolution images into a high-resolution one. In this paper, we present a n...

متن کامل

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

A Novel Subsampling Method for 3D Multimodality Medical Image Registration Based on Mutual Information

Mutual information (MI) is a widely used similarity metric for multimodality image registration. However, it involves an extremely high computational time especially when it is applied to volume images. Moreover, its robustness is affected by existence of local maxima. The multi-resolution pyramid approaches have been proposed to speed up the registration process and increase the accuracy of th...

متن کامل

A Noval Approach for Image Quality Enhancement via Image Super-Resolution

The Super-Resolution (SR) or High Resolution Image reconstructed from noisy, blurred and aliasing the low resolution image using techniques known as super-resolution reconstruction.The super-resolution reconstruction process to combining the low resoultion images to form high resolution images using the algorithm (i.e interpolation).The super-resolution have phases such as registration,interpol...

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

برای دانلود 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

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2004