The occurrence of adverse events in neurosurgery and subsequent toll on patients is considerably high, with a reported 16-28% of neurosurgical interventions resulting in adverse events and up to a majority of these events constituting hemorrhagic complications, posing a great risk for devastating neurological outcome. Accurate targeting of neurological soft tissue structures during interventional procedures is a central part of reducing adverse events, but despite the use of preoperative images and navigation systems, changes in intracranial anatomy during surgery continues to contribute to targeting errors. Thus, high-quality intraoperative imaging can play an integral role in guiding neurosurgical interventions - in particular, C-arms are an increasingly prevalent modality that is highly compatible with the surgical setup but are currently limited in soft tissue image quality. Therefore, the proposed research addresses the unmet needs of high-quality imaging sufficient to resolve soft tissue structures at minimum radiation dose, driving advances in three key areas: (a) image quality approaching (and in some contexts even exceeding) diagnostic CT;(b) minimizing dose such that a given imaging task can still be accomplished;and (c) image reconstruction speed compatible with clinical workflow. In particular, the proposed research develops advanced 3D model-based image reconstruction (MBIR) methods for C-arm cone-beam CT (CBCT) specifically for neurosurgical interventions to advance C-arm CBCT image quality beyond limitations of conventional reconstruction to a level suitable to soft tissue visualization (brain tissues, ventricles, and intracranial hemorrhage - ICH) and facilitating reduction in radiation dose. This will be accomplished over three Specific Aims: (1) develop model-based image reconstruction for C-arm CBCT specifically adapted to intraoperative, neurosurgical imaging by implementing a GPU-accelerated reconstruction (1-5 min target reconstruction time) and developing methods for rigorous image quality assessment;(2) improve soft tissue visualization for image-guided neurosurgical interventions by leveraging MBIR to achieve low contrast resolution (5-20 HU target contrast);and (3) reduce radiation dose in C-arm CBCT to target levels of 1-5 mGy. With these capabilities, a series of preclinical experiments will be conducted to evaluate the improvement in soft tissue visualization for tasks such as ICH detection and guidance of interventional devices toward soft tissue targets. Successful completion of the proposed research offers a paradigm shift toward broader utilization of advanced C-arm CBCT imaging methods in neurosurgery, whereby a reduction in complications and need for revision surgery is anticipated by virtue of high-quality 3D intraoperative imaging. The benefits of soft tissue visualization made possible by MBIR, in combination with significantly reduced radiation dose and reconstruction time, will benefit a spectrum of image-guided soft tissue interventions in neurosurgery and beyond, enabling more accurate, more effective, and safer procedures.

Public Health Relevance

Neurosurgery presents a perhaps surprisingly high rate of adverse events and suboptimal delivery requiring revision that poses serious risks to patients, even in applications generally deemed standard and low risk, such as deep brain stimulation electrode implantation, ventricular shunt placement, and brain biopsy. The proposed research leverages advanced, intraoperative imaging technology specifically motivated to enable neurosurgeons to deliver more precise targeting of structures of interest while avoiding adjacent critical anatomy, reduce treatment time, and minimize treatment-related complications.

Agency
National Institute of Health (NIH)
Institute
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Type
Postdoctoral Individual National Research Service Award (F32)
Project #
1F32EB017571-01
Application #
8591804
Study Section
Special Emphasis Panel (ZRG1-F15-P (20))
Program Officer
Erim, Zeynep
Project Start
2013-08-01
Project End
2015-07-31
Budget Start
2013-08-01
Budget End
2014-07-31
Support Year
1
Fiscal Year
2013
Total Cost
$49,214
Indirect Cost
Name
Johns Hopkins University
Department
Biomedical Engineering
Type
Schools of Medicine
DUNS #
001910777
City
Baltimore
State
MD
Country
United States
Zip Code
21218
Wang, Adam S; Stayman, J Webster; Otake, Yoshito et al. (2014) Low-dose preview for patient-specific, task-specific technique selection in cone-beam CT. Med Phys 41:071915
Wang, Adam S; Stayman, J Webster; Otake, Yoshito et al. (2014) Soft-tissue imaging with C-arm cone-beam CT using statistical reconstruction. Phys Med Biol 59:1005-26