Artificial Organs
29(8):658–664, Blackwell Publishing, Inc.
© 2005 International Center for Artificial Organs and Transplantation
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Blackwell Science, LtdOxford, UKAORArtificial Organs0160-564X2005 International Society for Artificial Organs298658664Original Article Image Processing for Cortical StimulatorsL.-X. BUFFONI ET AL.
Received July 2004; revised March 2005.
Address correspondence and reprint requests to Dr. Mohamad
Sawan, PolySTIM Neurotechnologies Laboratory, Department of
Electrical Engineering, Ecole Polytechnique de Montreal, C.P.
6079, Succ. Center-Ville, Montreal, Quebec H3C 3A7, Canada.
E-mail: mohamad.sawan@polymtl.ca
Image Processing Strategies Dedicated to Visual Cortical
Stimulators: A Survey
Louis-Xavier Buffoni, Jonathan Coulombe, and Mohamad Sawan
PolySTIM Neurotechnologies Laboratory, Department of Electrical Engineering, Ecole Polytechnique de Montreal, Montreal,
Quebec, Canada
Abstract: Multi-electrode devices are constantly evolving
toward a state where complexity and reliability are ade-
quate for providing a breakthrough in visual cortical stim-
ulation allowing the blind to recover partial vision. Yet few
research teams have focused on the development of the
front-end subsystem that transforms an input image from
a camera into stimulation commands. This article collects
state-of-the-art knowledge about the appearance and
organization of phosphenes, and previous work in image
processing dedicated to visual cortical stimulation. Obser-
vations and hypothesis about important issues are high-
lighted, and six image processing strategies that could be
used in such a subsystem are presented, from the most
optimistic that use brightness modulation to emulate gray-
scale to the most conservative that use only on/off pho-
sphene evocation. Key Words: Phosphene—Phosphene
pattern recognition—Visual cortical stimulation—Intrac-
ortical microelectrodes—Scene representation—Image
processing—Resolution reduction—Image segmentation.
Since the early discovery that visual sensations can
be evoked using direct electrical stimulation on top
of the visual cortex (1), researchers have been work-
ing to build a visual cortical stimulator (VCS) that
would help the blind to recover partial vision. Studies
in interrelated topics have been conducted in
order to develop such VCSs. They can be classified
into the following categories: study of physiological
responses to electrostimulation, development of mic-
roelectrodes, implementation of low-power micro-
chips to be used in implanted devices, and evaluation
of low-resolution image recognition with sighted vol-
unteers using simulated prosthetic vision.
Figure 1 illustrates a typical VCS. In such a system,
a camera grabs images that are processed and trans-
formed into stimulation commands to be sent to the
implant via an inductive link. The implanted device
is to be tested first in order to obtain reliable phos-
phene evocation, and therefore allows multiple
stimulation strategies (2). The camera and image pro-
cessor constitute the front-end subsystem, which will
then be used to study and/or validate the trans-
formation of input device data into stimulation
commands.
The purpose of this subsystem is to represent
scenes in the real world as meaningful patterns of
phosphenes. To date, few significant advances have
been made in the field of phosphene pattern recog-
nition. It is often conceived that grayscale images can
be directly generated in a patient’s mind by evoking
phosphenes whose brightness matches the corre-
sponding image pixels. However, results from bio-
medical studies do not encourage such optimism (3).
Therefore, we suggest that a system to be used for
early in vivo testing should implement several image
processing strategies in order to validate phosphene
evocation and vision restoration. The strategies pre-
sented later in this article are inspired by the descrip-
tion of phosphenes given by human volunteers in
previous studies. Reliable stimulation techniques and
a large number of implanted electrodes are assumed.
Image processing is hereby envisioned as an aid for
mobility, in which a normal video camera is used as
an input device.
A physiological description of the phosphenes and
their organization will be given in the second section