ArticleInternational journal of computer assisted radiology and surgery2020
SciKit-Surgery: compact libraries for surgical navigation.
Article in International journal of computer assisted radiology and surgery, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed.
- Determination of inter-individual differences in humeral head centre translations in subjects with healthy shoulders.Royal Society open science · 2026Article
- Virtual reality-augmented differentiable simulations for digital twin applications in surgical planning.Scientific reports · 2025Article
- 3D reconstruction in endonasal pituitary surgery.International journal of computer assisted radiology and surgery · 2025Article
- Autonomous control of an ultrasound probe for intra-operative ultrasonography using vision-based shape sensing of pneumatically attachable flexible rails.International journal of computer assisted radiology and surgery · 2024Article
- Can engineers represent surgeons in usability studies? Comparison of results from evaluating augmented reality guidance for laparoscopic surgery.Computers & graphics · 2024Article
- The value of Augmented Reality in surgery - A usability study on laparoscopic liver surgery.Medical image analysis · 2023Article
- Comparison of image quality of 3D ultrasound: motorized acquisition versus freehand navigated acquisition, a phantom study.International journal of computer assisted radiology and surgery · 2023Article
- Evaluation of a calibration rig for stereo laparoscopes.Medical physics · 2023Article
- Enhanced Surgeons: Understanding the Design of Augmented Reality Instructions for Keyhole Surgery.Proceedings. IEEE Conference on Virtual Reality and 3D User Interfaces · 2023Article
- The Effect of Luminance on Depth Perception in Augmented Reality Guided Laparoscopic Surgery.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Image-guidance in endoscopic pituitary surgery: an in-silico study of errors involved in tracker-based techniques.Frontiers in surgery · 2023Article
- Towards Reducing Visual Workload in Surgical Navigation: Proof-of-concept of an Augmented Reality Haptic Guidance System.Computer methods in biomechanics and biomedical engineering. Imaging & visualization · 2023Article
- Deep hashing for global registration of untracked 2D laparoscopic ultrasound to CT.International journal of computer assisted radiology and surgery · 2022Article
- SciKit-SurgeryGlenoid, an Open Source Toolkit for Glenoid Version Measurement.Proceedings of SPIE--the International Society for Optical Engineering · 2022Article
- SERV-CT: A disparity dataset from cone-beam CT for validation of endoscopic 3D reconstruction.Medical image analysis · 2022Article
- Automatic, global registration in laparoscopic liver surgery.International journal of computer assisted radiology and surgery · 2022Article
- Integrated multi-modality image-guided navigation for neurosurgery: open-source software platform using state-of-the-art clinical hardware.International journal of computer assisted radiology and surgery · 2021Article
- Are fiducial registration error and target registration error correlated? SciKit-SurgeryFRED for teaching and research.Proceedings of SPIE--the International Society for Optical Engineering · 2021Article
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Authors and funding
8 authors.
Funding
Abstract
purposeThis paper introduces the SciKit-Surgery libraries, designed to enable rapid development of clinical applications for image-guided interventions. SciKit-Surgery implements a family of compact, orthogonal, libraries accompanied by robust testing, documentation, and quality control. SciKit-Surgery libraries can be rapidly assembled into testable clinical applications and subsequently translated to production software without the need for software reimplementation. The aim is to support translation from single surgeon trials to multicentre trials in under 2 years.
methodsAt the time of publication, there were 13 SciKit-Surgery libraries provide functionality for visualisation and augmented reality in surgery, together with hardware interfaces for video, tracking, and ultrasound sources. The libraries are stand-alone, open source, and provide Python interfaces. This design approach enables fast development of robust applications and subsequent translation. The paper compares the libraries with existing platforms and uses two example applications to show how SciKit-Surgery libraries can be used in practice.
resultsUsing the number of lines of code and the occurrence of cross-dependencies as proxy measurements of code complexity, two example applications using SciKit-Surgery libraries are analysed. The SciKit-Surgery libraries demonstrate ability to support rapid development of testable clinical applications. By maintaining stricter orthogonality between libraries, the number, and complexity of dependencies can be reduced. The SciKit-Surgery libraries also demonstrate the potential to support wider dissemination of novel research.
conclusionThe SciKit-Surgery libraries utilise the modularity of the Python language and the standard data types of the NumPy package to provide an easy-to-use, well-tested, and extensible set of tools for the development of applications for image-guided interventions. The example application built on SciKit-Surgery has a simpler dependency structure than the same application built using a monolithic platform, making ongoing clinical translation more feasible.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.