Sketch-based Registration of 3D Cine MRI to 4D flow MRI

Sabokrohiyeh, Samin; Ang, Kathleen; Elbaz, Mohammed; Samavati, Faramarz

doi:10.1145/3340074.3340094

Cited by 2 publications

(3 citation statements)

References 27 publications

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“…Also, the research of Sabokrohiyeh et al [6] is interested in image registration of 4D flow MRI (poor quality) to 3D cine MRI; multi 2D slices (high quality) following a sketch-based image registration method to improve registration accuracy.…”

Section: Related Workmentioning

confidence: 99%

“…The module "Workflow decision" collects the needed parameters values adequate to each suggested registration workflow from the relevant information stored in "Ref database" (5). Also, provides the description of the suggested registration workflows to "Workflow decision" module (6). Finally, in the execution phase, the "Workflow selection" module selects and executes most suitable registration workflow based on the provided plan of decision and the previous system behaviours stored in "Reg information database" (7).…”

Section: Monitoring Analysis Planning and Executionmentioning

confidence: 99%

“…We would like to thank the Virtual Microscopy Database (VDM) 5 , Helmholtz-Zentrum hereon GmbH, Geesthacht-Germany (HZG) 6 and Institute of Clinical Dentistry, University of Oslo, Norway 7 for providing data sets of different stained histology sections.…”

Section: Acknowledgementmentioning

confidence: 99%

See 2 more Smart Citations

Towards a Smart Multi-Modal Image Registration Process

Chaabane¹,

Koller²,

Rodriguez³

2022

Signal, Image Processing and Embedded Systems Trends

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The multi-modal image registration is a complex task in the medical domain. This task requires usually several manual interventions by the user/expert of the domain to adjust the image registration parameters properly to the characteristics of the processed image data. For this aim, the user needs to extract the relevant information from the image data and their metainformation. In this paper, we propose a novel architecture for a smart fully automatic multimodal registration process. This architecture is based on a MAPE-K loop inspired by the architecture of autonomous systems.

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Section: Related Workmentioning

confidence: 99%

Section: Monitoring Analysis Planning and Executionmentioning

confidence: 99%