Next-generation image-guided endoscopic sinus surgery using novel computer vision techniques
NIBIB - National Institute of Biomedical Imaging and Bioengineering
About This Grant
Chronic rhinosinusitis (CRS) is a persistent inflammatory disease affecting 1 in 8 adults in the US. CRS profoundly affects health-related quality-of-life and is commonly treated with endoscopic sinus surgery (ESS). ESS fails to induce durable symptom improvements in 25% of CRS patients and subsequent revision ESS is needed in 15-46% of cases due to persistent or recurrent symptoms after incomplete surgical dissection. Revision ESS has significantly lower success rates than primary ESS and independently predicts poorer clinical outcomes. Complete surgical dissection, ideally during the first ESS, is less costly and is most likely to improve symptoms. Therefore, tools that enable complete ESS are critical. Image-guided surgery (IGS) can facilitate surgical dissection in ESS by mapping the location of surgical instruments to preoperative computed tomography (CT) images. However, IGS systems have significant limitations: 1) high costs, driving lower IGS usage, especially in underserved groups; 2) loss of tracking accuracy during ESS; and 3) disparity between the static CT images and reality as ESS progresses. We aim to establish a computer vision-based navigation system that will: 1) greatly reduce the cost of surgical navigation by eliminating expensive IGS hardware, thereby democratizing the use of navigation; 2) achieve consistent submillimeter accuracy during ESS; and 3) enhance surgical completeness to drive better clinical outcomes in CRS patients. The objective of this proposal is to develop a low-cost vision-based navigation system that reflects dynamic changes in surgical anatomy on the CT, maps critical anatomy from the CT onto a 3D reconstruction of the surgical field, and continuously tracks surgical instruments that are in view, aggregating these data in real-time for visualization. The central hypothesis is that vision-based navigation will maintain accuracy during ESS and will display critical anatomic structures and up- to-date anatomic changes to the surgeon, yielding more precise and complete operations. The rationale is that vision-based navigation will significantly improve and democratize navigation facilitating superior clinical outcomes at a lower cost for a larger cross-section of the population. We will test the central hypothesis in 3 specific aims: 1) Optimize the accuracy of high-fidelity 3D reconstructions of the sinonasal cavity using custom Neural Radiance Field-based techniques during surgery; 2) Refine automated co-registration of the CT volumetric model and 3D surgical scene reconstruction to enable dynamic anatomic updates, anatomic landmark display, and continuous surgical instrument tracking; and 3) Optimize the clinical interface and speed of computer vision-based navigation to enhance surgical performance. We will apply innovative computer vision techniques that harness the expertise of our team of surgeons and engineers. This research is significant because vision- based navigation will reduce existing limitations of IGS in ESS and could optimize endoscopic surgery in other disciplines. The expected outcome of this work is the development of a novel surgical navigation platform to enable more complete, lower cost ESS driving superior clinical outcomes for a larger proportion of the population.
Grant Summary
Next-generation image-guided endoscopic sinus surgery using novel computer vision techniques is a NIBIB - National Institute of Biomedical Imaging and Bioengineering grant providing up to $414K for university, nonprofit, healthcare org. Applications are due 2030-02-28 (open). Check eligibility and apply with FindGrants.
Focus Areas
Eligibility
How to Apply
Up to $414K
2030-02-28
- 1Confirm your organization is eligible for Next-generation image-guided endoscopic sinus surgery using novel computer vision techniques from NIBIB - National Institute of Biomedical Imaging and Bioengineering, checking organization type, location, and any population or project requirements.
- 2Gather the required documents and information, including your organization details, project plan, and budget figures.
- 3Draft your application narrative and budget addressing the funder's priorities and review criteria. FindGrants can draft each section for you to review and edit.
- 4Review every section against the requirements checklist, then export a submission-ready application pack and submit it to NIBIB - National Institute of Biomedical Imaging and Bioengineering before the deadline.
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Next-generation image-guided endoscopic sinus surgery using novel computer vision techniques: Frequently Asked Questions
Who is eligible for the Next-generation image-guided endoscopic sinus surgery using novel computer vision techniques?
Next-generation image-guided endoscopic sinus surgery using novel computer vision techniques is offered by NIBIB - National Institute of Biomedical Imaging and Bioengineering and is generally open to university, nonprofit, healthcare org. It is open to organizations nationwide unless the funder specifies otherwise. Review the specific eligibility terms before applying, since funders set their own requirements around organization type, location, and the population or project being served.
How much funding does the Next-generation image-guided endoscopic sinus surgery using novel computer vision techniques provide?
Next-generation image-guided endoscopic sinus surgery using novel computer vision techniques provides up to $414K per award from NIBIB - National Institute of Biomedical Imaging and Bioengineering. Actual award sizes depend on the scope of your project, available program funds, and the number of applicants, so build a budget that reflects realistic, allowable costs rather than the maximum figure.
When is the Next-generation image-guided endoscopic sinus surgery using novel computer vision techniques deadline?
Applications for Next-generation image-guided endoscopic sinus surgery using novel computer vision techniques are due 2030-02-28 (open). Because deadlines can change, verify the date with the funder, NIBIB - National Institute of Biomedical Imaging and Bioengineering, and give yourself enough time to prepare a complete, competitive application before the close date.
How do you apply for the Next-generation image-guided endoscopic sinus surgery using novel computer vision techniques?
To apply for Next-generation image-guided endoscopic sinus surgery using novel computer vision techniques, confirm your eligibility, gather the required documents, and prepare a narrative and budget that address the funder's priorities. FindGrants guides you step by step and can draft each section, then exports a submission-ready application pack for this grant from NIBIB - National Institute of Biomedical Imaging and Bioengineering.