Fast Nonrigid Matching Of Multimodality Medical Images

نویسندگان

  • G. Palos
  • N. Betrouni
  • V. Devlaminck
  • J. Rousseau
چکیده

Conformal radiotherapy is a therapeutic method requiring medical imaging, generally CT images to obtain Hounsfield number and electronic density data indications. The use of MRI simultaneously with CT imposes to deform CT images and superimpose them on MR images. The aim of this paper is to propose a nonridgid matching method between the two modalities (CT and MRI). The transformation model is defined by an optical flow registration algorithm, using mutual information as a similarity criterion.

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

A Novel Technique for Prealignment in Multimodality Medical Image Registration

Image pair is often aligned initially based on a rigid or affine transformation before a deformable registration method is applied in medical image registration. Inappropriate initial registration may compromise the registration speed or impede the convergence of the optimization algorithm. In this work, a novel technique was proposed for prealignment in both monomodality and multimodality imag...

متن کامل

Multimodality and Nonrigid Image Registration with Application to Diffusion Tensor Imaging

Multimodality and Nonrigid Image Registration with Application to Diffusion Tensor Imaging Mohammed Khader The great challenge in image registration is to devise computationally efficient algorithms for aligning images so that their details overlap accurately. The first problem addressed in this thesis is multimodality medical image registration, which we formulate as an optimization problem in...

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

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

Nonrigid Registration Using Regularized Matching Weighted by Local Structure

We present a novel approach to nonrigid registration of volumetric multimodal medical data. We propose a new regularized template matching scheme, where arbitrary similarity measures can be embedded and the regularization imposes spatial coherence taking into account the quality of the matching according to an estimation of the local structure. We propose to use an efficient variation of weight...

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 2003