Capturing intraoperative deformations: research experience at Brigham and Women’s hospital

Warfield, Simon K.; Haker, Steven; Talos, Ion-Florin; Kemper, Corey; Weisenfeld, Neil; Mewes, Andrea U. J.; Goldberg-Zimring, Daniel; Zou, Kelly H.; Westin, Carl‐Fredrik; Wells, William M.; Tempany, Clare M.; Golby, Alexandra J.; Black, Peter McL.; Jólesz, Ferenc A.; Kikinis, Ron

doi:10.1016/j.media.2004.11.005

Cited by 76 publications

(68 citation statements)

References 99 publications

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“…Since the late 1990s, significant research effort has been directed towards the prediction of such deformations using biomechanical models. [108][109][110][111][112][113][114][115] Typically, in such models, the Finite Element (FE) method [116][117][118][119] is employed to discretize and solve the related differential equations of continuum mechanics, see Figure 7. During imageguided surgery, only low-quality, sparse information about the current tissue position is available.…”

Section: -104mentioning

confidence: 99%

On the Destruction of Cancer Cells Using Laser-Induced Shock-Waves: A Review on Experiments and Multiscale Computer Simulations

Steinhauser¹

2016

Radiol Open J

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CitationSteinhauser MO. On the destruction of cancer cells using laser-induced shock waves: A review on experiments and multiscale computer simulations. Radiol Open J. 2016 ABSTRACTIn the clinical treatment of solid tumors, besides traditional surgery and chemotherapy, the use of High Intensity Focused Ultrasound (HIFU) has been established as a minimally non-invasive technique for tumor treatment, which is based on coagulative necrosis of cells, induced by conversion of mechanical energy into heat. Another, less developed technique for the destruction or damage of tumor cells, is based on the pure mechanical effects of strong shock waves on cells, which are generated by using laser ablation, thus avoiding the heat-related unwanted side-effect when using HIFU (cutaneous burns of healthy tissue). Despite the general therapeutic success of extracorporeal shock wave therapy in medicine, e.g. for disintegrating congrements, the mechanical effects of shock waves on the cytoskeleton of cells, on the transient permeability and rupture of cell membranes, or on tissue damage remain widely unknown. The mechanical behavior of bio-macromolecules however, is of particular importance on the cellular level as several basic and yet unanswered questions are raised: How are cell stresses and energy transmitted through cells and in what way are the forces and interactions that determine the stability of cell plasma membranes affected by a shock wave and give rise to cell deformation, structural damage or rupture of the membrane with subsequent apoptosis? Here, we intend to review research on the shock wave destruction of tumor cells and discuss the use of laserablation as a new potential technique for tumor treatment. We also discuss here recent progress in computational modeling strategies and techniques for understanding the basic physical mechanisms that occur in the interaction of shock waves with cellular structures and show how computer modeling and numerical simulation can contribute to a fundamental understanding in this emerging multidisciplinary field, where physics, chemistry, biology and medicine meet.

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Section: -104mentioning

confidence: 99%

On the Destruction of Cancer Cells Using Laser-Induced Shock-Waves: A Review on Experiments and Multiscale Computer Simulations

Steinhauser¹

2016

Radiol Open J

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“…It was reported to be a feasible guidance approach for brain interventions using multimodal image fusion with rigid registration in less than five minutes (24), and for microwave coagulation of liver tumors (25). Current developments of the software include the difficult task of implementing a non-rigid registration that is compatible with intraoperative decision-making and remains sufficiently accurate (26). In contrast to our platform, however, the 3D Slicer is not a fully tested and validated medical product, and therefore is not intended for general clinical use.…”

Section: Discussionmentioning

confidence: 99%

Advanced approach for intraoperative MRI guidance and potential benefit for neurosurgical applications

Busse

Schmitgen

Trantakis

et al. 2006

Magnetic Resonance Imaging

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Purpose: To present an advanced approach for intraoperative image guidance in an open 0.5 T MRI and to evaluate its effectiveness for neurosurgical interventions by comparison with a dynamic scan-guided localization technique. Materials and Methods:The built-in scan guidance mode relied on successive interactive MRI scans. The additional advanced mode provided real-time navigation based on reformatted high-quality, intraoperatively acquired MR reference data, allowed multimodal image fusion, and used the successive scans of the built-in mode for quick verification of the position only. Analysis involved tumor resections and biopsies in either scan guidance (N ϭ 36) or advanced mode (N ϭ 59) by the same three neurosurgeons. Technical, surgical, and workflow aspects were compared. Results:The image quality and hand-eye coordination of the advanced approach were improved. While the average extent of resection, neurologic outcome after functional MRI (fMRI) integration, and diagnostic yield appeared to be slightly better under advanced guidance, particularly for the main surgeon, statistical analysis revealed no significant differences. Resection times were comparable, while biopsies took around 30 minutes longer. Conclusion:The presented approach is safe and provides more detailed images and higher navigation speed at the expense of actuality. The surgical outcome achieved with advanced guidance is (at least) as good as that obtained with dynamic scan guidance.

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“…A typical example is the craniotomy-induced brain shift that results in movement of the pathology (tumor) and critical healthy tissues. As the contrast and spatial resolution of the intraoperative images are typically inferior to the preoperative ones [1], the highquality preoperative data need to be aligned to the intraoperative brain geometry to retain the preoperative image quality during the surgery. Accurate alignment requires taking into account the brain deformation, which implies nonrigid registration.…”

Section: Introductionmentioning

confidence: 99%

Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms

Joldes

Wittek

Couton

et al. 2009

Medical Image Computing and Computer-Assisted Intervention – MICCAI 2009

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Abstract. Patient-specific biomechanical models implemented using specialized nonlinear (i.e. taking into account material and geometric nonlinearities) finite element procedures were applied to predict the deformation field within the brain for five cases of craniotomy-induced brain shift. The procedures utilize the Total Lagrangian formulation with explicit time stepping. The loading was defined by prescribing deformations on the brain surface under the craniotomy. Application of the computed deformation fields to register the preoperative images with the intraoperative ones indicated that the models very accurately predict the intraoperative positions and deformations of the brain anatomical structures for limited information about the brain surface deformations. For each case, it took less than 40 s to compute the deformation field using a standard personal computer, and less than 4 s using a Graphics Processing Unit (GPU). The results suggest that nonlinear biomechanical models can be regarded as one possible method of complementing medical image processing techniques when conducting non-rigid registration within the real-time constraints of neurosurgery.

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Capturing intraoperative deformations: research experience at Brigham and Women’s hospital

Cited by 76 publications

References 99 publications

On the Destruction of Cancer Cells Using Laser-Induced Shock-Waves: A Review on Experiments and Multiscale Computer Simulations

On the Destruction of Cancer Cells Using Laser-Induced Shock-Waves: A Review on Experiments and Multiscale Computer Simulations

Advanced approach for intraoperative MRI guidance and potential benefit for neurosurgical applications

Real-Time Prediction of Brain Shift Using Nonlinear Finite Element Algorithms

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