Work

Patient-specific biomechanical model as whole-body CT image registration tool

Year: 2015

Type: article

Source: Medical Image Analysis

DOI: 10.1016/j.media.2014.12.008

Authors: Mao Li, Karol Miller, Grand Roman Joldes, Barry Doyle, Revanth Reddy Garlapati, Ron Kikinis, Adam Wittek

Institutions: The University of Western Australia, Cardiff University, University of Edinburgh, Brigham and Women's Hospital, Harvard University, University of Bremen, Fraunhofer Institute for Digital Medicine

Language: English

Topic: Medical Image Segmentation Techniques

Subfield: Computer Vision and Pattern Recognition

Field: Computer Science

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Society of Interventional Radiology Foundation, University of Western Australia, National Institutes of Health, Medical Research Council, Australian Research Council, National Health and Medical Research Council, National Cancer Institute, National Institute of Biomedical Imaging and Bioengineering, U.S. National Library of Medicine, National Center for Research Resources

Awards: Towards predicting brain deformations for image-guided neurosurgery, G1386326032, G1997636715, Engineering better clinical outcomes: Improving abdominal aortic aneurysm risk assessment through patient-specific computational modelling, Neuroimaging Analysis Center (NAC), Patient-specific modelling of cardiovascular disease, National Alliance for Medical Image Computing (NAMIC), G497257379, G552706917, Neuroimaging Analysis Center, Neuroimage as biomechanical model: new real-time computational biomechanics of the brain, G6752507592, Informatics Algorithms for Neural Circuitry Ultrastructure, G889942767, G9000020931, G9000045020, G9000099481

OpenAlex ID: W1977863614

FWCI: 3.157

Cites: 85

Cited by: 24

Related to: 10