Highly Accelerated 3d Dynamic Contrast Enhanced Mri Using Partial Separability Model and Jsense

نویسندگان

  • Jingyuan Lyu
  • Pascal Spincemaille
  • Martin R Prince
  • Yi Wang
  • Fuquan Ren
  • Leslie Ying
چکیده

PURPOSE: Dynamic contrast enhanced (DCE) MRI requires high spatial resolution for morphological information and high temporal resolution for contrast pharmacokinetic modeling. The current fast imaging techniques [1-5] have shown success in improving the temporal resolution of DCE-MRI. However, it is still challenging to improve both the spatial and temporal resolutions simultaneously. This abstract presents a new approach to highly accelerated dynamic contrast enhanced MRI. Using a phased array coil, data was acquired continuously along a stack of variable-density spiral trajectories updated with the golden angle [6]. In reconstruction, the approach integrates parallel imaging [7,8] with the partial separable (PS) model [5,9,10] to obtain the image from highly undersampled data. The proposed method is evaluated on a set of in vivo dynamic contrast enhanced liver imaging data with prospective undersampling. The experimental results show that the proposed method is able to achieve high spatial and temporal resolutions at the same time.

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

Highly accelerated 3D dynamic contrast enhanced MRI from sparse spiral sampling using integrated partial separability model and JSENSE

Dynamic contrast enhanced MRI requires high spatial resolution for morphological information and high temporal resolution for contrast pharmacokinetics. The current techniques usually have to compromise the spatial information for the required temporal resolution. This paper presents a novel method that effectively integrates sparse sampling, parallel imaging, partial separable (PS) model, and ...

متن کامل

Automatic Prostate Cancer Segmentation Using Kinetic Analysis in Dynamic Contrast-Enhanced MRI

Background: Dynamic contrast enhanced magnetic resonance imaging (DCE-MRI) provides functional information on the microcirculation in tissues by analyzing the enhancement kinetics which can be used as biomarkers for prostate lesions detection and characterization.Objective: The purpose of this study is to investigate spatiotemporal patterns of tumors by extracting semi-quantitative as well as w...

متن کامل

Quantification of blood-brain-barrier permeability dysregulation and inflammatory activity in MS lesions by dynamic-contrast enhanced MR imaging

Objective: Measurement of blood-brain permeability dysfunction in active and chronic MS lesions with T1-weighted dynamic contrast-enhanced MRI to show variation in inflammatory activity Background: blood-brain-barrier perfusion characterization impaired in MS as some studies have shown recently buta comparison between perfusion parameters in contrast-enhanced and non-enhanced lesions not have ...

متن کامل

Effect of Bias in Contrast Agent Concentration Measurement on Estimated Pharmacokinetic Parameters in Brain Dynamic Contrast-Enhanced Magnetic Resonance Imaging Studies

Introduction: Pharmacokinetic (PK) modeling of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is widely applied in tumor diagnosis and treatment evaluation. Precision analysis of the estimated PK parameters is essential when they are used as a measure for therapy evaluation or treatment planning. In this study, the accuracy of PK parameters in brain DCE...

متن کامل

Accelerating T1ρ cartilage imaging using compressed sensing with iterative locally adapted support detection and JSENSE.

PURPOSE To accelerate T1ρ quantification in cartilage imaging using combined compressed sensing with iterative locally adaptive support detection and JSENSE. METHODS To reconstruct T1ρ images from accelerated acquisition at different time of spin-lock (TSLs), we propose an approach to combine an advanced compressed sensing (CS) based reconstruction technique, LAISD (locally adaptive iterative...

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 2013