Literature DB >> 15561539

Future perspectives for intraoperative MRI.

Ferenc A Jolesz1.   

Abstract

MRI-guided neurosurgery not only represents a technical challenge but a transformation from conventional hand-eye coordination to interactive navigational operations. In the future, multimodality-based images will be merged into a single model, in which anatomy and pathologic changes are at once distinguished and integrated into the same intuitive framework. The long-term goals of improving surgical procedures and attendant outcomes, reducing costs, and achieving broad use can be achieved with a three-pronged approach: 1. Improving the presentation of preoperative and real-time intraoperative image information 2. Integrating imaging and treatment-related technology into therapy delivery systems 3. Testing the clinical utility of image guidance in surgery The recent focus in technology development is on improving our ability to understand and apply medical images and imaging systems. Areas of active research include image processing, model-based image analysis, model deformation, real-time registration, real-time 3D (so-called "four-dimensional") imaging, and the integration and presentation of image and sensing information in the operating room. Key elements of the technical matrix also include visualization and display platforms and related software for information and display, model-based image understanding, the use of computing clusters to speed computation (ie, algorithms with partitioned computation to optimize performance), and advanced devices and systems for 3D device tracking (navigation). Current clinical applications are successfully incorporating real-time and/or continuously up-dated image-based information for direct intra-operative visualization. In addition to using traditional imaging systems during surgery, we foresee optimized use of molecular marker technology, direct measures of tissue characterization (ie, optical measurements and/or imaging), and integration of the next generation of surgical and therapy devices (including image-guided robotic systems). Although we expect the primary clinical thrusts of MRI-guided therapy to remain in neurosurgery, with the possible addition of other areas like orthopedic, head, neck, and spine surgery, we also anticipate increased use of image-guided focal thermal ablative methods (eg, laser, RF, cryoablation, high-intensity focused ultrasound). By validating the effectiveness of MRI-guided therapy in specific clinical procedures while refining the technology that serves as its underpinning at the same time, we expect many neurosurgeons will eventually embrace MRI as their intraoperative imaging choice. Clearly, intraoperative MRI offers several palpable advantages. Most important among these are improved medical outcomes, shorter hospitalization, and better and faster procedures with fewer complications. Certain economic and practical barriers also impede the large-scale use of intraoperative MRI. Although there has been a concerted technical effort to increase the benefit/cost ratio by gathering more accurate information, designing more localized and less invasive treatment devices, and developing better methods to orient and position therapy end-effectors, further research is needed. Indeed, the drive to improve and upgrade technology is ongoing. Specifically, in the context of the real-time representation of the patient's anatomy, we have improved the quality and utility of the information presented to the surgeon, which, in turn, contributes to more successful surgical outcomes. We can also expect improvements in intraoperative imaging systems as well as increased use of nonimaging sensors and robotics to facilitate more widespread use of intraoperative MRI.

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Year:  2005        PMID: 15561539     DOI: 10.1016/j.nec.2004.07.011

Source DB:  PubMed          Journal:  Neurosurg Clin N Am        ISSN: 1042-3680            Impact factor:   2.509


  13 in total

1.  Robust nonrigid registration to capture brain shift from intraoperative MRI.

Authors:  Olivier Clatz; Hervé Delingette; Ion-Florin Talos; Alexandra J Golby; Ron Kikinis; Ferenc A Jolesz; Nicholas Ayache; Simon K Warfield
Journal:  IEEE Trans Med Imaging       Date:  2005-11       Impact factor: 10.048

2.  Identification of reduced-order thermal therapy models using thermal MR images: theory and validation.

Authors:  Ran Niu; Mikhail Skliar
Journal:  IEEE Trans Med Imaging       Date:  2012-04-16       Impact factor: 10.048

Review 3.  MRI-guided laparoscopic and robotic surgery for malignancies.

Authors:  Makoto Hashizume
Journal:  Int J Clin Oncol       Date:  2007-04-27       Impact factor: 3.402

4.  Intraoperative 3T MR imaging for spinal cord tumor resection: feasibility, timing, and image quality using a "twin" MR-operating room suite.

Authors:  T P Duprez; A Jankovski; C Grandin; L Hermoye; G Cosnard; C Raftopoulos
Journal:  AJNR Am J Neuroradiol       Date:  2008-07-10       Impact factor: 3.825

5.  A general-purpose MR-compatible robotic system: implementation and image guidance for performing minimally invasive interventions..

Authors:  Nikolaos V Tsekos; Eftychios Christoforou; Alpay Ozcan
Journal:  IEEE Eng Med Biol Mag       Date:  2008 May-Jun

6.  A Platform Integrating Acquisition, Reconstruction, Visualization, and Manipulator Control Modules for MRI-Guided Interventions.

Authors:  Jose D Velazco Garcia; Nikhil V Navkar; Dawei Gui; Cristina M Morales; Eftychios G Christoforou; Alpay Ozcan; Julien Abinahed; Abdulla Al-Ansari; Andrew Webb; Ioannis Seimenis; Nikolaos V Tsekos
Journal:  J Digit Imaging       Date:  2019-06       Impact factor: 4.056

7.  Clinical experience of glioma surgery using "tailed bullet": overcoming the limitations of conventional neuro-navigation guided surgery.

Authors:  Jin Mo Cho; Jae Joon Lim; Se-Hyuk Kim; Kyung Gi Cho
Journal:  Yonsei Med J       Date:  2015-03       Impact factor: 2.759

8.  Development of stereotactic mass spectrometry for brain tumor surgery.

Authors:  Nathalie Y R Agar; Alexandra J Golby; Keith L Ligon; Isaiah Norton; Vandana Mohan; Justin M Wiseman; Allen Tannenbaum; Ferenc A Jolesz
Journal:  Neurosurgery       Date:  2011-02       Impact factor: 4.654

9.  Image-guided intraoperative cortical deformation recovery using game theory: application to neocortical epilepsy surgery.

Authors:  Christine Delorenzo; Xenophon Papademetris; Lawrence H Staib; Kenneth P Vives; Dennis D Spencer; James S Duncan
Journal:  IEEE Trans Med Imaging       Date:  2010-02       Impact factor: 10.048

10.  Subthalamic nucleus deep brain stimulator placement using high-field interventional magnetic resonance imaging and a skull-mounted aiming device: technique and application accuracy.

Authors:  Philip A Starr; Alastair J Martin; Jill L Ostrem; Pekka Talke; Nadja Levesque; Paul S Larson
Journal:  J Neurosurg       Date:  2010-03       Impact factor: 5.115

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