Infrastructure for Image-Guided Surgery at UIHC
John Haller, PhD, Timothy Ryken,
MD and Michael Vannier, MD
Image
guided surgery at UIHC consists of an integrated environment
for seamless acquisition, visualization, processing and storage
of images and associated information. The infrastructure to
support image guided surgery integrates image acquisition, networks,
presurgical planning, surgical navigation, and data archiving.
Following is a pictoral description of the principal components
of an integrated image guided surgery environment and its implementation
at the University of Iowa Hospitals and Clinics.

Image guided neurosurgery utilizes a computer
workstation and optic guidance which localizes the instruments
and patient’s anatomy in the 3D space of the operating room.
Virtual representations of the surgical instruments are projected
onto the patient’s MRI or CT images displayed on a computer
monitor.

The
computer monitor of a surgical navigation workstation displays
the patient’s images that are used to guide the surgeon during
surgery. Magnetic resonance images and 3D reconstruction used
in image-guided surgery show the brain tumor and zones for 1
mm (green sphere/circle) and 2 mm (yellow circle) accuracy.
Blue circles surround external skin markers used to register
the virtual image space with the actual head of the patient,
so that the images can be used to guide the surgeon through
the anatomy of the brain.
Surgical Decision Support:
Critical Information at the point of care

Critical
information can be added to the images used for surgical guidance
in the operating room. For example, MRI images showing brain
activity can be used to depict the region of the brain responsible
for hand movement. A tumor (white, enhanced object) near the
motor area of the brain is shown along with the trajectory of
a surgical instrument (green line) used during surgery. In
addition, ultrasound images (lower right) acquired during surgery
can be co-registered with MRI (lower left) and used to update
the position of the tumor and surrounding anatomy. These kinds
of images will soon be available to surgeons at UIHC in a heads-up
display (HUD).

Images
are transferred from CT or MRI scanners (upper right) through
the imaging network (2-5 minutes) to a workstation where surgical
planning and 3D modeling is done (bottom right). After the patient
is positioned for treatment in the operating room, calibration
is done to place all of the pre-op images and surgical instruments
into a common reference frame (bottom left). As the surgery
proceeds, a navigation workstation is used to guide the procedure
pre-operative images (upper left). The surgical navigation can
also be augmented with real-time images from ultrasound or fluoroscopy,
if needed.

The
network for image-guided surgery at UIHC includes connections
from CT and MRI scanners to radiology image review workstations
and a surgery-dedicated server. Presurgical planning can be
done on remote workstations using secure web-based protocols
on a personal computer. Finally, post-processed images can
be transferred from the server directly to the O.R. surgical
navigation workstations.

At
UIHC a storage area network (SAN) and Radiology Department PACS
archive (27 terabytes) provide complementary image storage capabilities
that meet the needs of routine clinical operations, research,
and image guided surgery. The SAN provides high speed
connections to a RAID (Redundant Array of Independent Disks)
mass storage device. Multiple workstations have simultaneous
access through fiber optic connections to a fiber switch. The
origin of the data is transparent to the user who has instant
access to the RAID, similar to a true multi-user system using
internal disks. This system can be greatly expanded with more
RAIDs or other disks. Only the fiber switch limits the number
of PCs or Unix computers that can be connected to the RAID.

After
the images are transferred to the operating room the the patient
is prepared for for image guided surgery which includes attaching
a reference arc with light emitting diodes (LEDs). The black
arc pictured here is attached by a three-point clamp (Mayfield
clamp) to the patient’s head. Fiducial markers glued to the
skin are localized by the surgical probe (upper left), which
also has LEDs that are detected by an infrared sensor connected
to the surgical navigation workstation. The black line drawn
on the patients head indicates the extent of the tumor boundaries
and surgical incision planned using CT image guidance.

3D
images can be used during surgical navigation to visualize the
brain’s cortical surface and veins (top row), as well as the
location of the tumor in slices (middle left) or cut-away views
(bottom row).
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