Reconstruction Exploiting Phase-Correlation Motion Estimation and Motion Compensation Methods for Cine Cardiac Imaging

نویسندگان

  • M-L. Chu
  • J-S. Hsu
چکیده

Introduction Motion estimation (ME) and motion compensation (MC) are both essential to video compression [1], which have also been successfully applied to dynamic MRI with reduced k-space acquisition as baseline estimation adjunct for enhancing image reconstruction. [2] However, ME and MC have not been exploited as a standalone approach for direct dynamic MRI reconstruction. The current main challenges come from the absence of full-resolution frames. To address this issue, this work proposes a reconstruction technique based solely on the phase-correlation ME method [3] to estimate the motion vectors (MVs) needed for reconstruction, without incorporating extra computational routines as in previous works. [2,4] The experimental results show that the proposed method successfully reconstructs full-resolution dynamic frames at substantially reduced acquisition time without incurring aliasing artifacts and loss of object motion information. The performance is competitive even with acquisition of only the central k-space for most of the frames.

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

MMSE optimal non-local motion compensation for compressed sensing cardiac cine imaging using k-t FOCUSS

Introduction: Compressed sensing (CS) tells us that the perfect reconstruction is possible if the nonzero support in transform domain is sparse and sampling basis are incoherent [1]. By exploiting that dynamic MRI can be sparsified due to the temporal redundancy, we have demonstrated successful application of CS for cardiac imaging [2]. In particular, more accurate prediction using motion estim...

متن کامل

On Motion Estimation and Compensation Baseline Estimations in Dynamic Imaging: a Comparative Study with Cine Cardiac and Contrast-Enhanced Lung Imaging

Introduction: Estimation of the baseline in a dynamic imaging series is an essential step in compressed-sensing-based acceleration methods for MRI acquisition [1,2], as an accurate baseline estimation helps sparsifying the remaining residues effectively. Recent literatures suggest improved baseline estimation using adaptive regularization [1] or motion estimation (ME) and motion compensation (M...

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

Advanced Motion Correction Methods in PET

With the arrival of increasingly higher resolution PET systems, small amounts of motion can cause significant blurring in the images, compared to the intrinsic resolutions of the scanners. In this work, we have reviewed advanced correction methods for the three cases of (i) unwanted patient motion, as well as motions due to (ii) cardiac and (iii) respiratory cycles. For the first type of ...

متن کامل

Single breathhold three-dimensional cardiac cine MRI with whole ventricular coverage and retrospective cardiac gating using kat ARC

Background For quantitative volumetric assessments of cardiac function, 3D cine images depicting motion of the entire ventricle in a complete cardiac cycle are needed. However, due to limited acceleration capability, breathheld 3D cine MRI is not obtainable using conventional parallel imaging. Several kt-acceleration methods have demonstrated high-acceleration capability for dynamic MRI by expl...

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 2009