Background: Newer versions of the commercial Medtronic StealthStation allow the use of only 8 landmark pairs for patient-to-image registration as opposed to 9 landmarks in older systems. The choice of which landmark pair to drop in these newer systems can have an effect on the quality of the patient-to-image registration.
Objective: To investigate 4 landmark registration protocols based on 8 landmark pairs and compare the resulting registration accuracy with a 9-landmark protocol.
Methods: Four different protocols were tested on both phantoms and patients. Two of the protocols involved using 4 ear landmarks and 4 facial landmarks and the other 2 involved using 3 ear landmarks and 5 facial landmarks. Both the fiducial registration error and target registration error were evaluated for each of the different protocols to determine any difference between them and the 9-landmark protocol.
Results: No difference in fiducial registration error was found between any of the 8-landmark protocols and the 9-landmark protocol. A significant decrease (P < .05) in target registration error was found when using a protocol based on 4 ear landmarks and 4 facial landmarks compared with the other protocols based on 3 ear landmarks.
Conclusion: When using 8 landmarks to perform the patient-to-image registration, the protocol using 4 ear landmarks and 4 facial landmarks greatly outperformed the other 8-landmark protocols and 9-landmark protocol, resulting in the lowest target registration error.
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http://dx.doi.org/10.1227/NEU.0000000000000868 | DOI Listing |
BMJ Open
January 2025
Adult and Child Center for Health Outcomes Research and Delivery Science (ACCORDS), University of Colorado School of Medicine, Aurora, Colorado, USA.
Introduction: The ability of healthcare, community and public health systems to effectively implement and disseminate research innovations depends on contextual factors at multiple interconnected levels of influence (eg, the innovation, individual, provider/implementor, organisation and health system). Recently, there has been an increase in the development of complex interventions designed to target multiple levels, designed for or adapted to the context in which they are delivered. Two concepts from complex systems thinking have been increasingly used to operationalise such interventions-core functions (theory and evidence-driven purposes of interventions) and forms (adaptable activities that perform each core function).
View Article and Find Full Text PDFComput Med Imaging Graph
December 2024
School of Optics and Photonics, Beijing Institute of Technology, Beijing, 100081, Beijing, PR China; Zhengzhou Research Institute, Beijing Institute of Technology, Zhengzhou, 450000, Henan, PR China. Electronic address:
In skull base surgery, the method of using a probe to draw or 3D scanners to acquire intraoperative facial point clouds for spatial registration presents several issues. Manual manipulation results in inefficiency and poor consistency. Traditional registration algorithms based on point clouds are highly dependent on the initial pose.
View Article and Find Full Text PDFIntensive Care Med
January 2025
Centre for Inflammation Research, Institute For Regeneration and Repair, University of Edinburgh, Edinburgh, Scotland, UK.
Purpose: We hypothesised that the biological heterogeneity of sepsis may highlight sepsis subtypes with differences in response to intravenous vitamin C treatment in the Lessening Organ Dysfunction with VITamin C (LOVIT) trial. Our aims were to identify sepsis subtypes and to test whether sepsis subtypes have differences in treatment effect to vitamin C and describe putative biological effects of vitamin C treatment.
Methods: We measured biomarkers of inflammation, at baseline and at 7 days post-randomisation, in 457/863 (53.
PLOS Digit Health
December 2024
Department of Early Life Imaging, School of Biomedical Engineering and Imaging Sciences, King's College London, St Thomas' Hospital, London, United Kingdom.
Objectives: Evaluating craniofacial phenotype-genotype correlations prenatally is increasingly important; however, it is subjective and challenging with 3D ultrasound. We developed an automated label propagation pipeline using 3D motion- corrected, slice-to-volume reconstructed (SVR) fetal MRI for craniofacial measurements.
Methods: A literature review and expert consensus identified 31 craniofacial biometrics for fetal MRI.
J Med Internet Res
January 2025
Faculté des sciences infirmières, Université Laval, Québec, QC, Canada.
Background: Artificial intelligence (AI) predictive models in primary health care have the potential to enhance population health by rapidly and accurately identifying individuals who should receive care and health services. However, these models also carry the risk of perpetuating or amplifying existing biases toward diverse groups. We identified a gap in the current understanding of strategies used to assess and mitigate bias in primary health care algorithms related to individuals' personal or protected attributes.
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