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Home / Proceedings / Proceedings of the AAAI Conference on Artificial Intelligence, 32

Dilated FCN for Multi-Agent 2D/3D Medical Image Registration

March 15, 2023

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Published Date: 2018-02-08

Registration: ISSN 2374-3468 (Online) ISSN 2159-5399 (Print)

Copyright: Published by AAAI Press, Palo Alto, California USA Copyright © 2018, Association for the Advancement of Artificial Intelligence All Rights Reserved.

Authors

Shun Miao

Siemens Healthineers


Sebastien Piat

Siemens Healthineers


Peter Fischer

Siemens Healthineers


Ahmet Tuysuzoglu

Siemens Healthineers


Philip Mewes

Siemens Healthineers


Tommaso Mansi

Siemens Healthineers


Rui Liao

Siemens Healthineers


DOI:

10.1609/aaai.v32i1.11576


Abstract:

2D/3D image registration to align a 3D volume and 2D X-ray images is a challenging problem due to its ill-posed nature and various artifacts presented in 2D X-ray images. In this paper, we propose a multi-agent system with an auto attention mechanism for robust and efficient 2D/3D image registration. Specifically, an individual agent is trained with dilated Fully Convolutional Network (FCN) to perform registration in a Markov Decision Process (MDP) by observing a local region, and the final action is then taken based on the proposals from multiple agents and weighted by their corresponding confidence levels. The contributions of this paper are threefold. First, we formulate 2D/3D registration as a MDP with observations, actions, and rewards properly defined with respect to X-ray imaging systems. Second, to handle various artifacts in 2D X-ray images, multiple local agents are employed efficiently via FCN-based structures, and an auto attention mechanism is proposed to favor the proposals from regions with more reliable visual cues. Third, a dilated FCN-based training mechanism is proposed to significantly reduce the Degree of Freedom in the simulation of registration environment, and drastically improve training efficiency by an order of magnitude compared to standard CNN-based training method. We demonstrate that the proposed method achieves high robustness on both spine cone beam Computed Tomography data with a low signal-to-noise ratio and data from minimally invasive spine surgery where severe image artifacts and occlusions are presented due to metal screws and guide wires, outperforming other state-of-the-art methods (single agent-based and optimization-based) by a large margin.

Topics: AAAI

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HOW TO CITE:

Shun Miao||Sebastien Piat||Peter Fischer||Ahmet Tuysuzoglu||Philip Mewes||Tommaso Mansi||Rui Liao Dilated FCN for Multi-Agent 2D/3D Medical Image Registration Proceedings of the AAAI Conference on Artificial Intelligence, 32 (2018) .

Shun Miao||Sebastien Piat||Peter Fischer||Ahmet Tuysuzoglu||Philip Mewes||Tommaso Mansi||Rui Liao Dilated FCN for Multi-Agent 2D/3D Medical Image Registration AAAI 2018, .

Shun Miao||Sebastien Piat||Peter Fischer||Ahmet Tuysuzoglu||Philip Mewes||Tommaso Mansi||Rui Liao (2018). Dilated FCN for Multi-Agent 2D/3D Medical Image Registration. Proceedings of the AAAI Conference on Artificial Intelligence, 32, .

Shun Miao||Sebastien Piat||Peter Fischer||Ahmet Tuysuzoglu||Philip Mewes||Tommaso Mansi||Rui Liao. Dilated FCN for Multi-Agent 2D/3D Medical Image Registration. Proceedings of the AAAI Conference on Artificial Intelligence, 32 2018 p..

Shun Miao||Sebastien Piat||Peter Fischer||Ahmet Tuysuzoglu||Philip Mewes||Tommaso Mansi||Rui Liao. 2018. Dilated FCN for Multi-Agent 2D/3D Medical Image Registration. "Proceedings of the AAAI Conference on Artificial Intelligence, 32". .

Shun Miao||Sebastien Piat||Peter Fischer||Ahmet Tuysuzoglu||Philip Mewes||Tommaso Mansi||Rui Liao. (2018) "Dilated FCN for Multi-Agent 2D/3D Medical Image Registration", Proceedings of the AAAI Conference on Artificial Intelligence, 32, p.

Shun Miao||Sebastien Piat||Peter Fischer||Ahmet Tuysuzoglu||Philip Mewes||Tommaso Mansi||Rui Liao, "Dilated FCN for Multi-Agent 2D/3D Medical Image Registration", AAAI, p., 2018.

Shun Miao||Sebastien Piat||Peter Fischer||Ahmet Tuysuzoglu||Philip Mewes||Tommaso Mansi||Rui Liao. "Dilated FCN for Multi-Agent 2D/3D Medical Image Registration". Proceedings of the AAAI Conference on Artificial Intelligence, 32, 2018, p..

Shun Miao||Sebastien Piat||Peter Fischer||Ahmet Tuysuzoglu||Philip Mewes||Tommaso Mansi||Rui Liao. "Dilated FCN for Multi-Agent 2D/3D Medical Image Registration". Proceedings of the AAAI Conference on Artificial Intelligence, 32, (2018): .

Shun Miao||Sebastien Piat||Peter Fischer||Ahmet Tuysuzoglu||Philip Mewes||Tommaso Mansi||Rui Liao. Dilated FCN for Multi-Agent 2D/3D Medical Image Registration. AAAI[Internet]. 2018[cited 2023]; .


ISSN: 2374-3468


Published by AAAI Press, Palo Alto, California USA
Copyright 2022, Association for the Advancement of
Artificial Intelligence 1900 Embarcadero Road, Suite
101, Palo Alto, California 94303 All Rights Reserved

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