Temporal Groupwise Registration for Motion Modeling

نویسندگان

  • Mehmet Yigitsoy
  • Christian Wachinger
  • Nassir Navab
چکیده

We propose a novel method for the registration of time-resolved image sequences, called Spatio-Temporal groupwise non-rigid Registration using free-form deforMations (STORM). It is a groupwise registration method, with a group of images being considered simultaneously, in order to prevent bias introduction. This is different from pairwise registration methods where only two images are registered to each other. Furthermore, STORM is a spatio-temporal registration method, where both, the spatial and the temporal information are utilized during the registration. This ensures the smoothness and consistency of the resulting deformation fields, which is especially important for motion modeling on medical data. Moreover, popular free-form deformations are applied to model the non-rigid motion. Experiments are conducted on both synthetic and medical images. Results show the good performance and the robustness of the proposed approach with respect to outliers and imaging artifacts, and moreover, its ability to correct for larger deformation in comparison to standard pairwise 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

Groupwise registration of dynamic cardiac perfusion images using temporal dynamics and segmentation information

We propose a groupwise registration method for cardiac perfusion images using temporal information. Perfusion image characteristics make groupwise registration especially attractive, and registration accuracy is improved by including segmentation information. Registration aims to maximize the smoothness of the intensity signal while segmentation minimizes a pixel’s intensity difference with oth...

متن کامل

Nonrigid groupwise registration for motion estimation and compensation in compressed sensing reconstruction of breath-hold cardiac cine MRI.

PURPOSE Compressed sensing methods with motion estimation and compensation techniques have been proposed for the reconstruction of accelerated dynamic MRI. However, artifacts that naturally arise in compressed sensing reconstruction procedures hinder the estimation of motion from reconstructed images, especially at high acceleration factors. This work introduces a robust groupwise nonrigid moti...

متن کامل

Impact of image-based motion correction on dopamine D3/D2 receptor occupancy—comparison of groupwise and frame-by-frame registration approaches

BACKGROUND Image registration algorithms are frequently used to align the reconstructed brain PET frames to remove subject head motion. However, in occupancy studies, this is a challenging task where competitive binding of a drug can further reduce the available signal for registration. The purpose of this study is to evaluate two kinds of algorithms-a conventional frame-by-frame (FBF) registra...

متن کامل

Pythagorean Mean Images for Efficient Groupwise Registration

Groupwise registration is a powerful technique allowing to simultaneously align multiple images using an unbiased approach. Its need arises from population studies or motion estimation across dynamic sequences. An often used class of efficient groupwise metrics measures similarity as the sum of the pairwise similarities between the images and a template image, commonly chosen to be the arithmet...

متن کامل

Hierarchical alignment of breast DCE-MR images by groupwise registration and robust feature matching.

PURPOSE Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) shows high sensitivity in detecting breast cancer. However, its performance could be affected by patient motion during the imaging. To overcome this problem, it is necessary to correct patient motion by deformable registration, before using the DCE-MRI to detect breast cancer. However, deformable registration of DCE-MR image...

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:
  • Information processing in medical imaging : proceedings of the ... conference

دوره 22  شماره 

صفحات  -

تاریخ انتشار 2011