3D–2D registration in endovascular image-guided surgery: evaluation of state-of-the-art methods on cerebral angiograms

Author(s):  
Uroš Mitrović ◽  
Boštjan Likar ◽  
Franjo Pernuš ◽  
Žiga Špiclin
TecnoLógicas ◽  
2017 ◽  
Vol 20 (40) ◽  
pp. 125-138
Author(s):  
Karin Correa-Arana ◽  
Oscar A. Vivas-Albán ◽  
José M. Sabater-Navarro

This paper presents a review about neurosurgery, robotic assistants in this type of procedure, and the approach to the problem of brain tissue displacement, including techniques for obtaining medical images. It is especially focused on the phenomenon of brain displacement, commonly known as brain shift, which causes a loss of reference between the preoperative images and the volumes to be treated during image-guided surgery. Hypothetically, with brain shift prediction and correction for the neuronavigation system, minimal invasion trajectories could be planned and shortened. This would reduce damage to functional tissues and possibly lower the morbidity and mortality in delicate and demanding medical procedures such as the removal of a brain tumor. This paper also mentions other issues associated with neurosurgery and shows the way robotized systems have helped solve these problems. Finally, it highlights the future perspectives of neurosurgery, a branch of medicine that seeks to treat the ailments of the main organ of the human body from the perspective of many disciplines.


2020 ◽  
pp. 014556132092820 ◽  
Author(s):  
Isaac L. Schmale ◽  
Laura J. Vandelaar ◽  
Amber U. Luong ◽  
Martin J. Citardi ◽  
William C. Yao

Introduction: Image-guided surgery (IGS) has gained widespread acceptance in otorhinolaryngology for its applications in sinus and skull base surgery. Although the core concepts of IGS have not changed, advances in image guidance technology, including the incorporation of intraoperative imaging, have the potential to enhance surgical education, allow for more rigorous preoperative planning, and aid in more complete surgery with improved outcomes. Objectives: Provide a clinical update regarding the use of image guidance and intraoperative imaging in the field of rhinology and endoscopic skull base surgery with a focus on current state of the art technologies. Methods: English-language studies published in PubMed, Cochrane, and Embase were searched for articles relating to image-guided sinus surgery, skull base surgery, and intraoperative imaging. Relevant studies were reviewed and critical appraisals were included in this clinical update, highlighting current state of the art advances. Conclusions: As image guidance and intraoperative imaging systems have advanced, their applications in sinus and skull base surgery have expanded. Both technologies offer invaluable real-time feedback on the status and progress of surgery, and thus may help to improve the completeness of surgery and overall outcomes. Recent advances such as augmented and virtual reality offer a window into the future of IGS. Future advancements should aim to enhance the surgeon’s operative experience by improving user satisfaction and ultimately lead to better surgical results.


Methods ◽  
2001 ◽  
Vol 25 (2) ◽  
pp. 186-200 ◽  
Author(s):  
Richard D. Bucholz ◽  
Kurt R. Smith ◽  
Keith A. Laycock ◽  
Leslie L. McDurmont

2021 ◽  
Vol 19 (1) ◽  
Author(s):  
Xiaojing Shi ◽  
Caiguang Cao ◽  
Zeyu Zhang ◽  
Jie Tian ◽  
Zhenhua Hu

AbstractCerenkov luminescence imaging (CLI) is a novel optical imaging technique that has been applied in clinic using various radionuclides and radiopharmaceuticals. However, clinical application of CLI has been limited by weak optical signal and restricted tissue penetration depth. Various fluorescent probes have been combined with radiopharmaceuticals for improved imaging performances. However, as most of these probes only interact with Cerenkov luminescence (CL), the low photon fluence of CL greatly restricted it’s interaction with fluorescent probes for in vivo imaging. Therefore, it is important to develop probes that can effectively convert energy beyond CL such as β and γ to the low energy optical signals. In this study, a Eu3+ doped gadolinium oxide (Gd2O3:Eu) was synthesized and combined with radiopharmaceuticals to achieve a red-shifted optical spectrum with less tissue scattering and enhanced optical signal intensity in this study. The interaction between Gd2O3:Eu and radiopharmaceutical were investigated using 18F-fluorodeoxyglucose (18F-FDG). The ex vivo optical signal intensity of the mixture of Gd2O3:Eu and 18F-FDG reached 369 times as high as that of CLI using 18F-FDG alone. To achieve improved biocompatibility, the Gd2O3:Eu nanoparticles were then modified with polyvinyl alcohol (PVA), and the resulted nanoprobe PVA modified Gd2O3:Eu (Gd2O3:Eu@PVA) was applied in intraoperative tumor imaging. Compared with 18F-FDG alone, intraoperative administration of Gd2O3:Eu@PVA and 18F-FDG combination achieved a much higher tumor-to-normal tissue ratio (TNR, 10.24 ± 2.24 vs. 1.87 ± 0.73, P = 0.0030). The use of Gd2O3:Eu@PVA and 18F-FDG also assisted intraoperative detection of tumors that were omitted by preoperative positron emission tomography (PET) imaging. Further experiment of image-guided surgery demonstrated feasibility of image-guided tumor resection using Gd2O3:Eu@PVA and 18F-FDG. In summary, Gd2O3:Eu can achieve significantly optimized imaging property when combined with 18F-FDG in intraoperative tumor imaging and image-guided tumor resection surgery. It is expected that the development of the Gd2O3:Eu nanoparticle will promote investigation and application of novel nanoparticles that can interact with radiopharmaceuticals for improved imaging properties. This work highlighted the impact of the nanoprobe that can be excited by radiopharmaceuticals emitting CL, β, and γ radiation for precisely imaging of tumor and intraoperatively guide tumor resection.


Head & Neck ◽  
2021 ◽  
Author(s):  
Sarah Y. Bessen ◽  
Xiaotian Wu ◽  
Michael T. Sramek ◽  
Yuan Shi ◽  
David Pastel ◽  
...  

2014 ◽  
Vol 39 (13) ◽  
pp. 3830 ◽  
Author(s):  
Nan Zhu ◽  
Suman Mondal ◽  
Shengkui Gao ◽  
Samuel Achilefua ◽  
Viktor Gruev ◽  
...  

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