Intraoperative Magnetic Resonance Imaging: Impact on Brain Tumor Surgery

Schulder, Michael; Carmel, Peter W.

doi:10.1177/107327480301000203

Cited by 75 publications

(39 citation statements)

References 33 publications

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“…Although MRI and CT imaging can locate tumors, their use intraoperatively during surgery is very difficult and costly. 2,3 Ultrasound imaging has a low resolution, requires tissue contact, and lacks tissue-specific contrast. 4,5 Optical imaging provides a high-resolution noncontact imaging that is familiar to the surgeon, but the penetration depth is limited.…”

Section: Introductionmentioning

confidence: 99%

Accurate three-dimensional virtual reconstruction of surgical field using calibrated trajectories of an image-guided medical robot

Gong

Hannaford

et al. 2014

J. Med. Imag

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Abstract. Brain tumor margin removal is challenging because diseased tissue is often visually indistinguishable from healthy tissue. Leaving residual tumor leads to decreased survival, and removing normal tissue causes lifelong neurological deficits. Thus, a surgical robotics system with a high degree of dexterity, accurate navigation, and highly precise resection is an ideal candidate for image-guided removal of fluorescently labeled brain tumor cells. To image, we developed a scanning fiber endoscope (SFE) which acquires concurrent reflectance and fluorescence wide-field images at a high resolution. This miniature flexible endoscope was affixed to the arm of a RAVEN II surgical robot providing programmable motion with feedback control using stereo-pair surveillance cameras. To verify the accuracy of the three-dimensional (3-D) reconstructed surgical field, a multimodal physical-sized model of debulked brain tumor was used to obtain the 3-D locations of residual tumor for robotic path planning to remove fluorescent cells. Such reconstruction is repeated intraoperatively during margin clean-up so the algorithm efficiency and accuracy are important to the robotically assisted surgery. Experimental results indicate that the time for creating this 3-D surface can be reduced to one-third by using known trajectories of a robot arm, and the error from the reconstructed phantom is within 0.67 mm in average compared to the model design.

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Section: Introductionmentioning

confidence: 99%

Accurate three-dimensional virtual reconstruction of surgical field using calibrated trajectories of an image-guided medical robot

Gong

Hannaford

et al. 2014

J. Med. Imag

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“…Artefacts on the MR images, because of ferromagnetic components or pneumencephaly [5,8,9,[17][18][19][20][21], did not prevent interpretation. Anesthetic equipment failure [12], difficulty positioning the head in the scanner [15,22,23], coil position [10,20], non-functional coils [17,24], and internal MRI system failure [15,17,19,21] are difficulties that have been observed irrespective of the ioMRI system used.…”

Section: Discussionmentioning

confidence: 99%

Intra-operative 3.0 T Magnetic Resonance Imaging Using a Dual-Independent Room: Long-Term Evaluation of Time-Cost, Problems, and Learning-Curve Effect

Martin

Vaz

Fomekong

et al. 2010

Acta Neurochirurgica Supplementum

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We present a short and comprehensive report of our 39-month experience using a 3.0 T intra-operative magnetic resonance imaging (ioMRI) neurosurgical-MR twin room, including a description of the problems encountered and the associated time-delays. Forty-seven problems were experienced during the 189 ioMRI procedures (two ioMRI were performed in five of the 184 surgical procedures) performed in the 39-month period, including a blocked transfer table, failure of anesthetic monitoring material, and specific MRI-related problems, such as head and coil positioning difficulties, artefacts, coil malfunctions and other technical difficulties. None of these problems prevented the ioMRI procedure from taking place or affected image interpretation, but they sometimes caused a significant delay. Fifteen (32%) of these problems occurred during the initial learning curve period. The mean duration of the ioMRI procedure was 75 min, which decreased slightly with experience, although an average waiting-for-access time of 24 min could not be avoided. These results illustrate that although performing ioMRI at 3.0 T with the dual room is a challenging procedure, it remains safe and feasible and associated with only minor dysfunctions while offering optimal image quality and standard surgical conditions.

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“…Only intraoperative imaging is able to offer the updated information needed to maintain accurate navigation during the surgical procedure. These images are useful to confirm that tumor resection has been completed, a fact often not verifiable under the surgical microscope vision (Schulder & Carmel, 2003).…”

Section: Intraoperative Imaging Modalitiesmentioning

confidence: 99%

Management of Brain Tumors in Eloquent Areas

Darder¹,

López²

2011

Diagnostic Techniques and Surgical Management of Brain Tumors

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Intraoperative Magnetic Resonance Imaging: Impact on Brain Tumor Surgery

Abstract: Background: Refinements in the imaging of intracranial tumors assist neurosurgeons in maximizing

Cited by 75 publications

References 33 publications

Accurate three-dimensional virtual reconstruction of surgical field using calibrated trajectories of an image-guided medical robot

Accurate three-dimensional virtual reconstruction of surgical field using calibrated trajectories of an image-guided medical robot

Intra-operative 3.0 T Magnetic Resonance Imaging Using a Dual-Independent Room: Long-Term Evaluation of Time-Cost, Problems, and Learning-Curve Effect

Management of Brain Tumors in Eloquent Areas

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