Faster dense deformable image registration by utilizing both CPU and GPU

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Ekström, Simon,1991-Uppsala universitet,Radiologi (author)

Faster dense deformable image registration by utilizing both CPU and GPU

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LIBRIS-ID:oai:DiVA.org:uu-421140
https://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-421140URI

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Language:English
Summary in:English

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Purpose: Image registration is an important aspect of medical image analysis and a key component in many analysis concepts. Applications include fusion of multimodal images, multi-atlas segmentation, and whole-body analysis. Deformable image registration is often computationally expensive, and the need for efficient registration methods is highlighted by the emergence of large-scale image databases, e.g., the UK Biobank, providing imaging from 100 000 participants.Approach: We present a heterogeneous computing approach, utilizing both the CPU and the GPU, to accelerate a previously proposed image registration method. The parallelizable task of computing the matching criterion is offloaded to the GPU, where it can be computed efficiently, while the more complex optimization task is performed on the CPU. To lessen the impact of data synchronization between the CPU and GPU we propose a pipeline model, effectively overlapping computational tasks with data synchronization. The performance is evaluated on a brain labeling task and compared with a CPU implementation of the same method and the popular Advanced Normalization Tools (ANTs) software.Results: The proposed method presents a speed-up by a factor of 4 and 8 against the CPU implementation and the ANTs software respectively. A significant improvement in labeling quality was also observed, with measured mean Dice overlaps of 0.712 and 0.701 for our method and ANTs respectively.Conclusions: We showed that the proposed method compares favorably to the ANTs software yielding both a significant speed-up and an improvement in labeling quality. The registration method together with the proposed parallelization strategy is implemented as an open-source software package, deform.

Subject headings and genre

MEDICIN OCH HÄLSOVETENSKAP Klinisk medicin Radiologi och bildbehandling hsv//swe
MEDICAL AND HEALTH SCIENCES Clinical Medicine Radiology, Nuclear Medicine and Medical Imaging hsv//eng
Atlas-based segmentation
Brain MRI
Deformable image registration
GPU

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Pilia, MartinoUppsala universitet,Radiologi,Institutionen för informationsteknologi (author)
Kullberg, Joel,1979-Uppsala universitet,Radiologi(Swepub:uu)jokul377 (author)
Ahlström, Håkan,1953-Uppsala universitet,Radiologi(Swepub:uu)hakanahl (author)
Strand, Robin,1978-Uppsala universitet,Bildanalys och människa-datorinteraktion,Avdelningen för visuell information och interaktion,Radiologi(Swepub:uu)rostr275 (author)
Malmberg, Filip,1980-Uppsala universitet,Bildanalys och människa-datorinteraktion,Avdelningen för visuell information och interaktion,Radiologi(Swepub:uu)filma606 (author)
Uppsala universitetRadiologi (creator_code:org_t)

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