CLAIRE-Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications.
CLAIRE-Parallelized Diffeomorphic Image Registration for Large-Scale Biomedical Imaging Applications.
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DOI：
10.3390/jimaging8090251
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发表时间：
2022-09-16
影响因子：
3.2
通讯作者：
Biros, George
中科院分区：
文献类型：
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作者：
Himthani, Naveen;Brunn, Malte;Kim, Jae-Youn;Schulte, Miriam;Mang, Andreas;Biros, George
关键词：
我们研究了CLAIRE-一个同构的多节点，多GPU图像配准算法和软件的性能在大规模生物医学成像应用与数十亿的体素。在这样的分辨率下，大多数现有的用于同构图像配准的软件包都非常昂贵。因此，从业者首先对原始图像进行显著的下采样，然后使用现有的工具进行配准。我们的主要贡献是对下采样对配准性能的影响进行了广泛的分析。我们通过比较CLAIRE获得的全分辨率配准与合成和真实世界成像数据集的低分辨率配准来研究这种影响。我们的研究结果表明，在全分辨率注册可以产生一个上级注册质量，但并不总是。例如，从到对合成图像进行下采样会将Dice系数从92%降低到79%。然而，对于噪声或低对比度高分辨率图像，差异不太明显。CLAIRE使我们不仅可以在几秒钟内配准临床相关尺寸的图像，还可以在合理的时间内以前所未有的分辨率配准图像。考虑的最高分辨率是尺寸的分辨率图像。据我们所知，这是第一次研究图像配准质量在这样的分辨率。
We study the performance of CLAIRE—a diffeomorphic multi-node, multi-GPU image-registration algorithm and software—in large-scale biomedical imaging applications with billions of voxels. At such resolutions, most existing software packages for diffeomorphic image registration are prohibitively expensive. As a result, practitioners first significantly downsample the original images and then register them using existing tools. Our main contribution is an extensive analysis of the impact of downsampling on registration performance. We study this impact by comparing full-resolution registrations obtained with CLAIRE to lower resolution registrations for synthetic and real-world imaging datasets. Our results suggest that registration at full resolution can yield a superior registration quality—but not always. For example, downsampling a synthetic image from to decreases the Dice coefficient from 92% to 79%. However, the differences are less pronounced for noisy or low contrast high resolution images. CLAIRE allows us not only to register images of clinically relevant size in a few seconds but also to register images at unprecedented resolution in reasonable time. The highest resolution considered are CLARITY images of size . To the best of our knowledge, this is the first study on image registration quality at such resolutions.
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DOI：
10.1109/sc41405.2020.00042
发表时间：
2020-11
期刊：
International Conference for High Performance Computing, Networking, Storage and Analysis : [proceedings]. SC (Conference : Supercomputing)
影响因子：
--
作者：
Brunn M;Himthani N;Biros G;Mehl M;Mang A
通讯作者：
Mang A
DOI：
10.1023/b:visi.0000043755.93987.aa
发表时间：
2005-02-01
影响因子：
19.5
作者：
Beg, MF;Miller, MI;Younes, L
通讯作者：
Younes, L
影响因子：
48
作者：
Chung, Kwanghun;Deisseroth, Karl
通讯作者：
Deisseroth, Karl
影响因子：
5.7
作者：
Doshi J;Erus G;Ou Y;Resnick SM;Gur RC;Gur RE;Satterthwaite TD;Furth S;Davatzikos C;Alzheimer's Neuroimaging Initiative
通讯作者：
Alzheimer's Neuroimaging Initiative
影响因子：
64.8
作者：
通讯作者：
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