Real-time modeling of intra-operative brain shift based on video tracking

I Rasin; Z Pekar; O Sadowsky; A Forte; S Galvan; D Dini; M Shoham; L Joskowicz

Real-time modeling of intra-operative brain shift based on video tracking

I Rasin, Z Pekar, O Sadowsky, A Forte, S Galvan, D Dini, M Shoham, L Joskowicz

The Rachel and Selim Benin School of Engineering and Computer Science

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

Abstract

This paper addresses the problem of real-time guidance of a robot operating on an open brain as the brain undergoes a deformation (brain shift) due to the loss of cerebrospinal fluid (CSF) and the reduction of intracranial pressure. Commonly, neurosurgical navigation loses its accuracy due to the deformation, as it is based on static pre-operative brain images. We aim to improve this accuracy by providing a real-time “image” of the deforming brain, which is computed from tracking features on the exposed cortex and models the physical behavior of brain tissue.

Original language	English
Title of host publication	Proceedings of The Hamlyn Symposium on Medical Robotics, 2014
Publisher	Imperial College Press
Pages	65-66
Number of pages	2
ISBN (Print)	9780956377654
State	Published - 2014
Event	7th Hamlyn Symposium on Medical Robotics 2014 - Imperial College London, London, United Kingdom Duration: 12 Jul 2014 → 15 Jul 2014 Conference number: 7

Conference

Conference	7th Hamlyn Symposium on Medical Robotics 2014
Country/Territory	United Kingdom
City	London
Period	12/07/14 → 15/07/14

Cite this

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title = "Real-time modeling of intra-operative brain shift based on video tracking",

abstract = "This paper addresses the problem of real-time guidance of a robot operating on an open brain as the brain undergoes a deformation (brain shift) due to the loss of cerebrospinal fluid (CSF) and the reduction of intracranial pressure. Commonly, neurosurgical navigation loses its accuracy due to the deformation, as it is based on static pre-operative brain images. We aim to improve this accuracy by providing a real-time “image” of the deforming brain, which is computed from tracking features on the exposed cortex and models the physical behavior of brain tissue. ",

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AU - Rasin, I

AU - Pekar, Z

AU - Sadowsky, O

AU - Forte, A

AU - Galvan, S

AU - Dini, D

AU - Shoham, M

AU - Joskowicz, L

N1 - Conference code: 7

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N2 - This paper addresses the problem of real-time guidance of a robot operating on an open brain as the brain undergoes a deformation (brain shift) due to the loss of cerebrospinal fluid (CSF) and the reduction of intracranial pressure. Commonly, neurosurgical navigation loses its accuracy due to the deformation, as it is based on static pre-operative brain images. We aim to improve this accuracy by providing a real-time “image” of the deforming brain, which is computed from tracking features on the exposed cortex and models the physical behavior of brain tissue.

AB - This paper addresses the problem of real-time guidance of a robot operating on an open brain as the brain undergoes a deformation (brain shift) due to the loss of cerebrospinal fluid (CSF) and the reduction of intracranial pressure. Commonly, neurosurgical navigation loses its accuracy due to the deformation, as it is based on static pre-operative brain images. We aim to improve this accuracy by providing a real-time “image” of the deforming brain, which is computed from tracking features on the exposed cortex and models the physical behavior of brain tissue.

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SN - 9780956377654

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BT - Proceedings of The Hamlyn Symposium on Medical Robotics, 2014

PB - Imperial College Press

T2 - 7th Hamlyn Symposium on Medical Robotics 2014

Y2 - 12 July 2014 through 15 July 2014

ER -

Real-time modeling of intra-operative brain shift based on video tracking

Abstract

Conference

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