Real-Time Biomechanical Simulation of Volumetric Brain Deformation for Image Guided Neurosurgery

2000 ◽  
Author(s):  
S.K. Warfield ◽  
M. Ferrant ◽  
X. Gallez ◽  
A. Nabavi ◽  
F.A. Jolesz ◽  
...  
Keyword(s):  
Real Time ◽  
Image Guided ◽  
Brain Deformation ◽  
Biomechanical Simulation

Real-time registration of volumetric brain MRI by biomechanical simulation of deformation during image guided neurosurgery

2002 ◽  
Vol 5 (1) ◽  
pp. 3-11 ◽  
Author(s):  
Simon K. Warfield ◽  
Florin Talos ◽  
Alida Tei ◽  
Aditya Bharatha ◽  
Arya Nabavi ◽  
...  
Keyword(s):  
Real Time ◽  
Brain Mri ◽  
Image Guided ◽  
Biomechanical Simulation

Real-time simulation and visualization of volumetric brain deformation for image-guided neurosurgery

2001 ◽  
Author(s):  
Matthieu Ferrant ◽  
Arya Nabavi ◽  
Benoit M. M. Macq ◽  
Ron Kikinis ◽  
Simon K. Warfield
Keyword(s):  
Real Time ◽  
Real Time Simulation ◽  
Image Guided ◽  
Brain Deformation ◽  
Time Simulation

397 Intra-tumor immunotherapy injections utilizing image guidance in interventional radiology: clinical trial experience at a tertiary care cancer center

2020 ◽  
Vol 8 (Suppl 3) ◽  
pp. A422-A422
Author(s):  
Ravi Murthy ◽  
Rahul Sheth ◽  
Alda Tam ◽  
Sanjay Gupta ◽  
Vivek Subbiah ◽  
...  
Keyword(s):  
Clinical Trials ◽  
Interventional Radiology ◽  
Real Time ◽  
Image Guidance ◽  
Tertiary Care ◽  
Cancer Center ◽  
Imaging Guidance ◽  
Image Guided ◽  
Real Time Image ◽  
Time Image

BackgroundImage guided intra-tumor administration of investigational immunotherapeutic agents represents an expanding field of interest. We present a retrospective review of the safety, feasibility & technical nuances of real-time image guidance for injection & biopsy across a spectrum of extracranial solid malignancies utilizing the discipline of Interventional Radiology.MethodsPatients who were enrolled in image guided intratumoral immunotherapy injection (ITITI) clinical trials over a 6 year period (2013–19) at a single tertiary care cancer center were included in this analysis. Malignancy, location, imaging guidance utilized for ITITI & biopsy for injected (adscopal) & non-injected (abscopal) lesions were determined and categorized. Peri-procedural adverse events were noted.Results262 pts (146 female, 61 yrs median) participating in 29 immunotherapeutic clinical trials (TLR & STING agonists, gene therapy, anti CD-40, viral/bacterial/metabolic oncolytics) met study criteria. Malignancies included melanoma 88, sarcoma 32, colorectal 29, breast 23, lung 17, head & neck 15, ovarian 8, neuroendocrine 7, pancreatic adenocarcinoma 6, 3 each (cholangioCA, endometrial, bladder, GI tract), 2 each (RCC, thymicCA, lymphoma, merkel cell, prostate) & others 1 each (CUP, GIST, dermatofibrosarcoma, DSRT, neuroblastoma, thyroid). All 169 & 93 patients received the intended 1371 ITITI in parietal (abdominal/chest wall, extremity, neck, pelvis) or visceral (liver, lung, peritoneum, adrenal) locations respectively; 83 patients received lymph node injections within either location. Imaging guidance was US in 68% of the cohort (US 161, CT+US 19); CT was used in 30% (81) & MRI in 1 patient. Median diameter of the ITITI lesion was 32 mm (8–230 mm). Median volume of the ITITI therapeutic material/session was 2 ml (1–6.9 ml). Lesions were accessed using a coaxial technique. ITITI delivery needles used at operator preference & tailored to lesion characteristics were either a 21G/22G Chiba, 21G Profusion (Cook Medical), 22G Morrison (AprioMed), 25G hypodermic (BD) & 18G Quadrafuse (Rex Medical). 2840 core biopsies (>18G Tru-cut core, Mission, Bard Medical) were performed in 237 patients during 690 procedures; biopsy sessions were often concurrent & of the ITITI site. 137 patients also underwent biopsy of a non-ITITI site (89 parietal location). Dimensions of the non-ITITI lesion were median 10 mm (7–113 mm); US image guidance was used in 97 patients (72%) to obtain a total of 1257, >18G Tru-core samples. 1.3% of injections resulted in SAE (NCI CTC AE >3) and 0.5% of 4097 biopsies developed major complications (SIR Criteria); both categories were manageable.ConclusionsUtilizing real time image guidance, ITITI to the administration of a myriad of investigational immunotherapeutic agents with concomitant biopsy procedures to date are associated with a high technical success rate & favorable safety profile.AcknowledgementsJoshua Hein, Mara Castaneda, Jyotsna Pera, Yunfang Jiang,Shuang Liu, Holly Liu and Anna LuiTrial RegistrationN/AEthics ApprovalThe study was approved by Institution’s Ethics Board, approval number 2020-0536: A retrospective study to determine the safety, feasibility and technical challenges of real-time image guidance for intra-tumor injection and biopsy across multiple solid tumors.Consent2020-0536 Waiver of Informed ConsentReferenceSheth RA, Murthy R, Hong DS, et al. Assessment of image-guided intratumoral delivery of immunotherapeutics in patients with cancer. JAMA Netw Open 2020;3(7):e207911. doi:10.1001/jamanetworkopen.2020.7911

Real-time motion tracking in image-guided oral implantology

2008 ◽  
Vol 4 (4) ◽  
pp. 339-347 ◽  
Author(s):  
Xiaojun Chen ◽  
Yanping Lin ◽  
Yiqun Wu ◽  
Chengtao Wang
Keyword(s):  
Real Time ◽  
Motion Tracking ◽  
Image Guided ◽  
Time Motion ◽  
Oral Implantology

scholarly journals First Demonstration of Combined kV/MV Image-Guided Real-Time Dynamic Multileaf-Collimator Target Tracking

2009 ◽  
Vol 74 (3) ◽  
pp. 859-867 ◽  
Author(s):  
Byungchul Cho ◽  
Per R. Poulsen ◽  
Alex Sloutsky ◽  
Amit Sawant ◽  
Paul J. Keall
Keyword(s):  
Target Tracking ◽  
Real Time ◽  
Multileaf Collimator ◽  
Time Dynamic ◽  
Image Guided

Imaging and visual analysis---Toward real-time image guided neurosurgery using distributed and grid computing

2006 ◽  
Author(s):  
Nikos Chrisochoides ◽  
Andriy Fedorov ◽  
Andriy Kot ◽  
Neculai Archip ◽  
Peter Black ◽  
...  
Keyword(s):  
Grid Computing ◽  
Real Time ◽  
Visual Analysis ◽  
Image Guided ◽  
Real Time Image ◽  
Time Image

PD-0488 ROUTINE REAL-TIME IMAGE-GUIDED VERIFICATION OF BREATH HOLD IN BREAST CANCER PATIENTS

2012 ◽  
Vol 103 ◽  
pp. S196
Author(s):  
H. de Boer ◽  
H.J.G. van den Bongard ◽  
W. de Kruijf ◽  
B. van Asselen
Keyword(s):  
Breast Cancer ◽  
Real Time ◽  
Cancer Patients ◽  
Breath Hold ◽  
Breast Cancer Patients ◽  
Image Guided ◽  
Real Time Image ◽  
Time Image

On the Effects of Model Complexity in Computing Brain Deformation for Image-Guided Neurosurgery

2011 ◽  
pp. 51-61
Author(s):  
Jiajie Ma ◽  
Adam Wittek ◽  
Benjamin Zwick ◽  
Grand R. Joldes ◽  
Simon K. Warfield ◽  
...  
Keyword(s):  
Model Complexity ◽  
Image Guided ◽  
Brain Deformation

Real-Time Image-Guided Navigation in the Management of Alveolar Cleft Repair

2021 ◽  
pp. 105566562110577
Author(s):  
Yuying Zhang ◽  
Jiawei Dai ◽  
Xiazhou Fu ◽  
Jiegang Yang ◽  
Yuchuan Fu ◽  
...  
Keyword(s):  
Real Time ◽  
Navigation System ◽  
Preoperative Planning ◽  
Surgical Simulation ◽  
Surgical Navigation ◽  
Computer Assisted ◽  
Alignment Procedure ◽  
Alveolar Cleft ◽  
Image Guided ◽  
Dynamic Navigation

Objectives: To present the use of dynamic navigation system in the repair of alveolar cleft. Patients and Participants: A total of three non-syndromic patients with unilateral alveolar cleft were involved in this study. Real-time computer-aided navigation were used to achieve restoration and reconstruction with standardized surgical technique. Methods: With the individual virtual 3-dimensional (3-D) modeling based on computed tomography (CT) data, preoperative planning and surgical simulation were carried out with the navigation system. During preoperative virtual planning, the defect volume or the quantity of graft is directly assessed at the surgical region. With the use of this system, the gingival periosteum flap incision can be tracked in real-time, and the bone graft can be navigated under the guidance of the 3-D views until it matches the preoperatively planned position. Results: Three patients with alveolar cleft were successfully performed under navigation guidance. Through the model alignment procedure, accurate matches between the actual intraoperative position and the CT images were achieved within the systematic error of 0.3 mm. The grafted bone was implanted according to the preoperative plan with the aid of instrument- and probe-based navigation. All the patients were healed well without serious complications. Conclusions: These findings suggest that image-guided surgical navigation, including preoperative planning, surgical simulation, postoperative assessment, and computer-assisted navigation was feasible and yielded good clinical outcomes. Clinical relevance: This dynamic navigation could be proved to be a valuable option for this complicated surgical procedure in the management of alveolar cleft repair.

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