4D MAP MRI IMAGE RECONSTRUCTION

被引：0

作者：

Hinkle, Jacob ^{[1
]}

Adluru, Ganesh ^{[2
]}

Kholmovski, Eugene ^{[2
]}

DiBella, Edward ^{[2
]}

Joshi, Sarang ^{[1
]}

机构：

[1] Univ Utah, Sci Comp & Imaging Inst, Salt Lake City, UT 84112 USA

[2] Univ Utah, Utah Ctr Adv Imaging Res, Salt Lake City, UT USA

来源：

VISAPP 2010: PROCEEDINGS OF THE INTERNATIONAL CONFERENCE ON COMPUTER VISION THEORY AND APPLICATIONS, VOL 1 | 2010年

关键词：

MRI; Reconstruction; Motion; Diffeomorphic; DEFORMATION; ABLATION;

D O I：

暂无

中图分类号：

TP18 [人工智能理论];

学科分类号：

081104 ; 0812 ; 0835 ; 1405 ;

摘要：

Conventional MRI reconstruction techniques are susceptible to artifacts when imaging moving organs. In this paper, a reconstruction algorithm is developed that accommodates respiratory motion instead of using only navigator-gated data. The maximum a posteriori (MAP) algorithm uses the raw k-space time-stamped data and the 1D diaphragm navigator signal to reconstruct the images and estimate deformations in anatomy simultaneously. The algorithm eliminates blurring due to binning the data and increases signal-to-noise ratio (SNR) by using all of the collected data. The algorithm is tested in a simulated torso phantom and is shown to increase image quality by dramatically reducing motion artifacts.

引用

页码：251 / 257

页数：7

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