SUPER-RESOLUTION RECONSTRUCTION OF WHOLE-BODY MRI MOUSE DATA: AN INTERACTIVE APPROACH

被引：0

作者：

Khmelinskii, A. ^{[1
]}

Plenge, E. ^{[2
,3
]}

Kok, P. ^{[1
,4
]}

Dzyubachyk, O. ^{[1
]}

Poot, D. H. J. ^{[2
,3
]}

Suidgeest, E. ^{[6
]}

Botha, C. P. ^{[4
]}

Niessen, W. J. ^{[2
,3
,5
]}

van der Weerd, L. ^{[6
,7
,8
]}

Meijering, E. ^{[2
,3
]}

Lelieveldt, B. P. F. ^{[1
,4
]}

机构：

[1] LUMC, Div Image Proc, Dept Radiol, Leiden, Netherlands

[2] BIGR, Dept Radiol, Erasmus MC, Rotterdam, Netherlands

[3] BIGR, Dept Med Informat, Erasmus MC, Rotterdam, Netherlands

[4] Delft Univ Technol, Dept Intelligent Syst, Delft, Netherlands

[5] Delft Univ Technol, Fac Sci Appl, Quantitat Imaging Grp, Delft, Netherlands

[6] LUMC, Nucl Med Sect, MILL, Dept Radiol, Leiden, Netherlands

[7] LUMC, Dept Anat, Leiden, Netherlands

[8] LUMC, Dept Embryol, Leiden, Netherlands

来源：

2012 9TH IEEE INTERNATIONAL SYMPOSIUM ON BIOMEDICAL IMAGING (ISBI) | 2012年

关键词：

Whole-Body; Articulated; Atlas-Based; Registration; Skeleton Segmentation; Image Processing; Molecular Imaging; Planar Reformation; Interactive; MOBY; MRI; Super-Resolution Reconstruction;

D O I：

暂无

中图分类号：

TM [电工技术]; TN [电子技术、通信技术];

学科分类号：

0808 ; 0809 ;

摘要：

Super-resolution reconstruction (SRR) is a post-acquisition method for producing a high-resolution (HR) image from a set of low-resolution (LR) images. However, for large volumes of data, this technique is computationally very demanding and time consuming. In this study we focus on the specific case of whole-body mouse data and present a novel, integrated, end-to-end approach to overcome this problem. We combine articulated atlas-based segmentation and planar reformation techniques with state-of-the-art in SRR to produce high resolution, interactively selected, localized isotropic volumes-of-interest in whole-body mouse MRI. With this method we overcome time and memory related limitations when applying the SRR algorithm to the entire dataset, enabling interactive visualization and exploration of anatomical structures of interest in whole-body MRI mouse data on a normal desktop PC.

引用

页码：1723 / 1726

页数：4

共 17 条

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