Computer Assisted Driving of a Needle into the Brain

Lavallée, Stéphane; Cinquin, Philippe; Demongeot, J.; Benabid, Alim Louis; Marque, I.; Djaid, M.

doi:10.1007/978-3-642-52311-3_76

Cited by 7 publications

(4 citation statements)

References 3 publications

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“…For introducing and driving medical or surgical tools (like needles, electrodes, bistouries) into the human body [118][119][120][121][122][123][124][125][126][127][128][129][130][131][132][133][134][135], one needs to segment and contour (after contrasting) zones of interest to avoid (as indicated by red zones in Figure 9 left representing tissues of lungs on the top and cardiac muscle on the middle and bottom) or to reach (blue arrow in Figure 9 right indicating a pericardial effusion). This example gives a good illustration of what can be exploited from the contrasting and contouring operators in order to go farther than the descriptive level for diagnosis.…”

Section: Computer Assisted Interventionsmentioning

confidence: 99%

“…This example gives a good illustration of what can be exploited from the contrasting and contouring operators in order to go farther than the descriptive level for diagnosis. That is to really improve some medical procedures, one must automate the process completely, thus replacing the human actor without any loss of speed or precision [119][120][121][122][123][124][125][126][127][128][129][130].…”

Section: Computer Assisted Interventionsmentioning

confidence: 99%

“…Only this fundamental approach is able to finally guide the methodological choice with arguments as fast calculation speed [143], precision, accuracy, and minimal algorithmic complexity. Indeed, these good properties constitute the main criteria for selecting robust, fast and precise image processing tools for reliable procedures of computer aided surgical and medical intervention [118][119][120][121][122][123][124][125][126][127][128][129][130][131][132][133][134][135].…”

Section: Limits Of the Biomimetic Approachmentioning

confidence: 99%

“…In our method the surface modelling is performed in the segmentation step. This algorithm has been tested on MRI images for stereotaxy before stimulation needle introduction or brain tumour puncture [118][119][120][121][122][123][124][125][126][127][128][129].…”

Section: Continuous Operatorsmentioning

confidence: 99%

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Correction: Understanding Physiological and Degenerative Natural Vision Mechanisms to Define Contrast and Contour Operators

Demongeot¹,

Fouquet²,

Tayyab³

et al. 2009

PLoS ONE

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Background: Dynamical systems like neural networks based on lateral inhibition have a large field of applications in image processing, robotics and morphogenesis modeling. In this paper, we will propose some examples of dynamical flows used in image contrasting and contouring.Methodology: First we present the physiological basis of the retina function by showing the role of the lateral inhibition in the optical illusions and pathologic processes generation. Then, based on these biological considerations about the real vision mechanisms, we study an enhancement method for contrasting medical images, using either a discrete neural network approach, or its continuous version, i.e. a non-isotropic diffusion reaction partial differential system. Following this, we introduce other continuous operators based on similar biomimetic approaches: a chemotactic contrasting method, a viability contouring algorithm and an attentional focus operator. Then, we introduce the new notion of mixed potential Hamiltonian flows; we compare it with the watershed method and we use it for contouring. Conclusions:We conclude by showing the utility of these biomimetic methods with some examples of application in medical imaging and computed assisted surgery.

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