modality-based navigation

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Injury, Int. J. Care Injured (2004) 35, S-A24—S-A29 Introduction/principle Modality based navigation (MBN) means interactive tracking of instruments in a co-ordinate system defined by an imaging modality [1]. MBN relies on a registration of the tracking system, eg, an optical digitizer, with the imaging modality, eg, CT, MR, or a fluoroscope. During the registration process, a transformation matrix between the two co-ordinate systems of digitizer and imaging modality is calcu- lated. After this step, the tracking system ‘knows’ where the images will be generated. This registra- tion process is procedure-unrelated and typically carried out by a technical person at regular time intervals. As soon as the images have been acquired dur- ing an intervention, instruments with appropriate passive or active markers can be navigated imme- diately within the image volume without further preparation, especially without registration [2]. This procedure works because there is an inherent match between the object and image. No property of the patient anatomy is needed or used. In fact, it is possible to navigate in or around any object, even in symmetrical forms like a sphere that would be relatively hard to register. It is also possible to navigate mobile and non-rigid objects, eg, brain or liver tissue, as long as they do not deform during navigation through gravitation or manipulation. In contrast, ‘conventional’ or in this context ‘pa- tient-based navigation’ (PBN) systems do not have or make use of the knowledge of exactly where the im- ages have been generated. They use corresponding Modality-based navigation Peter Messmer 1 , Thomas Gross 4 , Norbert Suhm 3 , Pietro Regazzoni 4 , Augustinus L. Jacob 2 , Rolf W. Huegli 2 1 Division of Trauma Surgery, Department of Surgery, University Hospital Zurich, 8091 Zurich, Switzer- land 2 Department of Radiology, University Hospital Basel, 4031 Basel, Switzerland 3 AO-Development Institute, 7270 Davos, Switzerland 4 Trauma Unit, Department of Surgery, University Hospital Basel, 4031 Basel, Switzerland KEYWORDS: Modality-based naviga- tion; CT-based naviga- tion; registration-free navigation; technology integration; radiation dose; clinical accura- cy; 2-D/3-D imaging Summary 1 Modality-based navigation (MBN) means the interactive tracking of instruments in a co-ordinate system defined by an imaging modality, eg, CT, MR, or a fluoroscope. During the registration process, a transformation matrix between the two co-ordinate systems of the digitizer and imaging modality is calculated. Navigation can start immediately after collection of the images with- out an intraprocedural registration process. Since the imaging modality belongs to the OR or the intervention suite, image update can be performed at any time. Following a step-by-step procedure with navigation and image update in a rea- sonable sequence, the risk for a virtual-real mismatch is minimized. For CT-MBN, we obtained a freehand absolute positioning accuracy of 1.9±1.1 mm in vitro. The in vivo freehand absolute positioning accuracy in pelvic fracture fixation was determined to be 3.1 mm (unpublished data). From our point of view, modality-based navigation is an efficient and safe alter- native tool for computer aided interventions. 1 Abstracts in German, French, Italian, Spanish, Japanese, and Russian are printed at the end of this supplement. 0020–1383/$ — see front matter ß 2004 Published by Elsevier Ltd. doi:10.1016/j.injury.2004.05.007

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Page 1: Modality-based navigation

Injury, Int. J. Care Injured (2004) 35, S-A24—S-A29

Introduction/principle

Modality based navigation (MBN) means interactive

tracking of instruments in a co-ordinate system

defined by an imaging modality [1]. MBN relies on

a registration of the tracking system, eg, an optical

digitizer, with the imaging modality, eg, CT, MR, or

a fluoroscope. During the registration process, a

transformation matrix between the two co-ordinate

systems of digitizer and imaging modality is calcu-

lated. After this step, the tracking system ‘knows’

where the images will be generated. This registra-

tion process is procedure-unrelated and typically

carried out by a technical person at regular time

intervals.

As soon as the images have been acquired dur-

ing an intervention, instruments with appropriate

passive or active markers can be navigated imme-

diately within the image volume without further

preparation, especially without registration [2].

This procedure works because there is an inherent

match between the object and image. No property

of the patient anatomy is needed or used. In fact,

it is possible to navigate in or around any object,

even in symmetrical forms like a sphere that would

be relatively hard to register. It is also possible to

navigate mobile and non-rigid objects, eg, brain or

liver tissue, as long as they do not deform during

navigation through gravitation or manipulation.

In contrast, ‘conventional’ or in this context ‘pa-

tient-based navigation’ (PBN) systems do not have or

make use of the knowledge of exactly where the im-

ages have been generated. They use corresponding

Modality-based navigation

Peter Messmer1, Thomas Gross4, Norbert Suhm3, Pietro Regazzoni4, Augustinus L. Jacob2, Rolf W. Huegli2

1 Division of Trauma Surgery, Department of Surgery, University Hospital Zurich, 8091 Zurich, Switzer-

land2 Department of Radiology, University Hospital Basel, 4031 Basel, Switzerland3 AO-Development Institute, 7270 Davos, Switzerland4 Trauma Unit, Department of Surgery, University Hospital Basel, 4031 Basel, Switzerland

KEYWORDS:

Modality-based naviga-

tion; CT-based naviga-

tion; registration-free

navigation; technology

integration; radiation

dose; clinical accura-

cy; 2-D/3-D imaging

Summary1 Modality-based navigation (MBN) means the interactive tracking

of instruments in a co-ordinate system defined by an imaging modality, eg, CT,

MR, or a fluoroscope. During the registration process, a transformation matrix

between the two co-ordinate systems of the digitizer and imaging modality is

calculated. Navigation can start immediately after collection of the images with-

out an intraprocedural registration process. Since the imaging modality belongs

to the OR or the intervention suite, image update can be performed at any time.

Following a step-by-step procedure with navigation and image update in a rea-

sonable sequence, the risk for a virtual-real mismatch is minimized.

For CT-MBN, we obtained a freehand absolute positioning accuracy of 1.9±1.1 mm

in vitro. The in vivo freehand absolute positioning accuracy in pelvic fracture

fixation was determined to be 3.1 mm (unpublished data).

From our point of view, modality-based navigation is an efficient and safe alter-

native tool for computer aided interventions.

1 Abstracts in German, French, Italian, Spanish, Japanese,

and Russian are printed at the end of this supplement.

0020–1383/$ — see front matter � 2004 Published by Elsevier Ltd.doi:10.1016/j.injury.2004.05.007

Page 2: Modality-based navigation

Modality-based navigation S-A25

geometric features like points, contours or surfaces

that can be identified both in the image volume and

in the patient anatomy to re-match both reference

systems that were identical at the time of imaging.

In analogy to the definition given for MBN, PBN means

interactive tracking of instruments in a co-ordinate

system defined by a sequence of images.

Each of the above-mentioned navigation methods

comprises a set of invariants:

• The geometrical relation between the active part

of the instruments used and their respective mark-

ers recognized by the digitizer are not allowed

to change during navigation. For example, if a

surgical drill is tracked and the guidepin clamped

in the drill-chuck deviates from the axis of the

drill, the position of the tip of the guidepin can-

not be predicted from the position of the markers

anymore. There will be a difference between the

display of the navigation system and the real situ-

ation, a virtual-real mismatch.

• In MBN, the spatial relation between the digitizer

and imaging modality must be constant or the

modality has to be tracked.

• In MBN, the object to be navigated may not move

or be moved significantly between imaging and

navigation, otherwise the inherent match be-

tween image volume and imaged patient anatomy

will be lost.

• In PBN, the object to be navigated may not move or

be moved significantly between registration and

navigation, otherwise the match between image

volume and imaged patient anatomy reestab-

lished by the registration process will be lost.

• There are two ways around that limitation: Either

the movement is tracked by a dynamic reference

base (DRB) or it can be described with sufficient

precision in mathematical terms, eg, the linear

movement of an examination table.

• If the object to be navigated is tracked by a DRB

during the procedure, the geometrical relation

between the reference, eg, a clamp on a spinous

process, and the anatomy referenced, eg, a ver-

tebra, may not change during navigation.

Another very important consideration is a pos-

sible alteration of the object, or the anatomy, by

the procedure, in which case imaging and patient

anatomy no longer agree. This corresponds to a

map after an alteration of the landscape. There

are two possibilities to cope with that situation:

Redraw the map from scratch, which corresponds

to an intra-operative acquisition of a new set of im-

ages, or deform the existing map until it matches

the new real scenery, which is equivalent to some

type of elastic matching of the imaging volume to

the altered patient anatomy.

Materials and methods/implementations

MBN is, in principle, adaptable to different medical

imaging modalities. The CT-variant was developed

and described in Basel [3]. The fluoroscopic variant

comes in 2-D and 3-D-versions using either a con-

ventional fluoroscope or a fan beam CT like the ISO

C 3-D. It is already described in the paper of Nolte

and colleagues in this issue of Injury and will not

be dealt with here. GE developed an interventional

MRI (double doughnut) where imaging planes can

be dynamically defined by a pointer that is tracked

by an MBN [4].

CT-variant

What we describe here is the implementation in

Basel that has been operational for more than ten

years. Some details might be solved differently in

other implementations.

Set-up and registration

In CT-MBN, a constant relation between the imaging

plane and the 3-D digitizer (Fig. 1) is postulated. (It

Fig. 1: CT suite with 3-D digitizer mounted at the ceiling, allowing a constant relation between imaging plane and digitizer.

Page 3: Modality-based navigation

S-A26 P. Messmer et al:

would, of course, be possible to equip the CT-gantry

with a reference base to achieve free mobility of the

digitizer versus the CT-gantry. In fact, we did initially

do just that. The biggest drawback of this approach is

that the optical digitizer has to ‘see’ both the gantry

reference and the instrument reference, which tend

to be fairly wide apart. Thus, the digitizer is used at

the margins of its useable operating volume, where

it is less precise.) In our suites, the digitizer (Fig. 2)

is fixed at the ceiling. During registration, a radio-

translucent panel with several light emitting diodes

(LEDs) is brought into the imaging plane (Fig. 3). The

position is verified by imaging with the highest reso-

lution in the z-direction available, usually 0.5–1 mm.

Then the position of the LEDs is digitized and the

transformation matrix calculated. This registration

is done by a technician, taking about one hour and

is usually necessary every 3–4 months.

Clinical procedure

At the beginning of the intervention, the patient is

placed carefully on the CT-table (Fig. 4) and normally

taped to a vacuum mattress for immobilization.

Imaging is planned to include the path from entry

to target but no more. As a minimal variant, that

may just be a single slice. Every image is taken at

the invariant position of the imaging plane that was

localized in the digitizer co-ordinates in the regis-

tration step. All images are tagged with the table

increment that was current while it was taken ac-

cording to the DICOM-standard [5]. The image stack

is automatically transferred via a network to the

navigation computer that also receives the position

data from the digitizer. There, simple planning with

one or several trajectories is carried out. For each

trajectory, a starting point, normally at skin level,

(‘entry’) as well as an end point (‘target’) is defined.

The entry is marked on the skin with the help of the

CT laser guiding light and a grid perpendicular to

the laser. This process allows marking of the area

to be draped and enables a later plausibility check.

(Another option could be to determine the entry

with a non-sterilized navigated pointer directly on

the patient before draping.)

For better access during the intervention, the

patient is then moved out of the gantry into the

operating position. The current z-translation is

manually fed into the navigation computer to com-

pensate for that motion. Alternatively, the table can

also be tracked with an additional reference. After

Fig. 2: Close-up shot of the 3-D digitizer mounted at the ceiling.

Fig. 3: Radio-lucent panel with light emitting diodes brought into the CT-gantry for the calibration process.

Fig. 4: Patient before sterile draping lying on a vacuum mattress. Sometimes additionally an extension device is applied in order to gain a correct reposition before com-puter navigated intervention.

Page 4: Modality-based navigation

Modality-based navigation S-A27

disinfection, draping, and connection of the instru-

ment references to the navigation system (Fig. 5),

a plausibility check is performed: The tip of the

guidepin is placed on one of the entry points and

rotated around the tip in a cone-like fashion. If the

tip is shown at the corresponding place by the navi-

gation system and stays there during the rotational

movement, the system is supposed to work correctly.

Then the navigation can start. The current direction

and position of the guidepin should be brought into

line with the planned target path. The display gives

a visual feedback in the three principal planes and

with the aid of an ‘artificial horizon’ where lateral

translation as well as direction and magnitude of

angular deviation from the planned path are shown

(Fig. 6).

At the discretion of the interventionist, depend-

ing, for example, on the presence of vital structures

near the target path, the patient can be brought

back to the gantry for individual control scans. These

scans can replace older versions at the same table

position in the existing image stack, which again al-

lows taking of only a minimal set of images.

Clinical accuracy

The clinical accuracy of a navigation system can be

defined in different ways:

• As the repetitive accuracy of a registration process.

• As visible consistency of readout and surgical

scene.

• As avoidance of complications, eg, perforation of

a vertebral pedicle.

With MBN, the absolute error of the navigation

system can be determined on control images that

offer an independent, external verification of the

position. Planning and result are directly compa-

rable.

This absolute clinical accuracy in MBN is composed

from a number of different constituents:

• The accuracy of the position measurements of

single LEDs as well as the structure defined by an

assembly of several LEDs in a reference base.

• The accuracy of the registration of the modality

as well as the instruments.

• The skill of the interventionalist and their ability

not to bend the navigated instrument.

• The immobilization of the whole patient and the

organ to be targeted.

• The resolution of the imaging protocol used to

determine the position of the instrument.

• For CT-MBN, we determined the repetitive ac-

curacy of a position measurement of a reference

base with a FlashPoint 5000 (Image Guided Tech-

nologies, Boulder, CO) optical digitizer to be in

the magnitude of 1 mm, depending on the edge

length of the reference base and on the angula-

tion between camera and digitizer [3]. Repetitive

accuracy of CT-registration was 1.3 mm. In vitro

freehand absolute positioning accuracy was meas-

ured to 1.9 ± 1.1 mm.

• The in vivo freehand absolute positioning accuracy

in pelvic fracture fixation was determined (3.1

mm, unpublished data).

Fig. 5: Navigation reference mounted on the accumula-tor-drill.

Fig. 6: Navigation monitor giving visual feedback in the axial, coronal and sagittal plane as well as an artificial horizon including information about lateral translation and magnitude of angular deviation from the planned path.

Page 5: Modality-based navigation

S-A28 P. Messmer et al:

Radiation dose

CT is a high radiation dose imaging modality. There-

fore, special care must be taken to reduce the usage

as much as possible. There are several considera-

tions to be taken into account:

• The volume scanned should be restricted to a

minimum. This is possible with MBN since it is not

necessary to scan a larger volume solely for the

purpose of subsequent registration.

• The number of control scans should be restricted

to a minimum. This is possible with MBN since

single slices can be inserted into the initial im-

age stack.

• The dose per slice should be restricted to a mini-

mum. We showed that it is possible to reduce the

tube current and hence the dose by a factor of ten

as compared to diagnostic imaging without losing

guidance safety because of the high contrast of

cortical bone (unpublished data).

• The dose for the personnel should be restricted to

a minimum, which can normally be achieved by

everybody leaving the room except the patient. If

the patient is anesthetized or has to be monitored

closely for other reasons, very low doses occur im-

mediately next to both sides of the gantry [6].

MR-variant

MBN-systems have been described, eg, in conjunc-

tion with the experimental open magnet from Gen-

eral Electrics known as the ‘double doughnut’ [4].

If an open MR is not available, MBN can be imple-

mented much the same way as the CT-variant, with

appropriate changes of the registration and naviga-

tion hardware. The general accuracy is expected

to be slightly worse than with CT due to spatial

distortions caused by magnetic field inhomogenies,

device image distortion, signal cancellation, and

susceptibility artifacts.

Fluoroscopy variant

The fluoroscopy variants of MBN, with both 2-D and

3-D imaging, are commercially available. They are

described in detail in the contribution by Nolte et

al in this issue of Injury.

Briefly, the navigation system localizes the fluoro-

scope, which is equipped with references, immedi-

ately prior to imaging. Since the relation between

the references and the imaging geometry has been

previously calibrated, the navigation system ‘knows’

the spatial position of the images acquired. When

the imaging is done, the imager can be put aside

to expose the surgical field. This is symmetrical to

the movement of the patient out of the gantry in

CT-MBN. If the object of interest is equipped with

a dynamic reference base, it can be moved during

the subsequent manipulation without losing naviga-

tion information. 2-D and 3-D variants differ in how

detailed their displayed anatomy is. The field of view

of current fluoroscopes is limited to about 20 cm in

2-D projection radiography and to a cube of 12 cm

edge length with fluoro-CT.

Discussion

MBN is a natural and powerful extension of an imag-

ing modality that is available in the intraprocedural

setting and whose geometric properties are known

with sufficient accuracy. In a registration process, the

spatial relation between a digitizer and the modality

has to be determined. MBN is functional immediately

after imaging and allows a seamless integration of

additional intraoperative control images.

MBN has to be compared to online imaging meth-

ods like fluoroscopy and CT-fluoroscopy on one hand,

and to ‘conventional’ 2-stage navigation systems

using image preserves and registration on the other

side.

Compared to online image guidance with fluoros-

copy or CT-fluoroscopy, MBN allows arbitrary inclina-

tions of the instruments to the imaging axis or plane.

There is unrestrained access to the patient since the

modality has been removed from the operating field

or vice versa. The dose to patient and personnel in

fluoroscopy strongly depends on the techniques (fo-

cus-object versus object-image intensifier distance,

coning down, pulsed fluoroscopy, shielding, and oth-

ers) and operator experience. With MBN, the dose

to the personnel is substantially reduced, in most

instances to zero, since everybody can leave the

room. The dose to the patient in MBN depends on

the factors outlined in “Radiation dose”. Procedural

safety of MBN is very high and comparable to online

imaging when control images are acquired at critical

points to detect a potential virtual-real mismatch.

MBN has several advantages compared to PBN:

Navigation can start immediately after collection

of the images without an intraprocedural registra-

tion process. It is a 1-stage procedure and less time

consuming than PBN. There is no need to image [7]

or surgically expose the anatomy only to identify

landmarks. PBN exists either with or without preop-

erative imaging such as CT-based or CT-free naviga-

tion. This preoperative imaging may lead to a high

radiation dose because of a large scan area.

Intraoperative image update guarantees the cor-

rect positioning of instruments. A final image check

Page 6: Modality-based navigation

Modality-based navigation S-A29

serves as total quality management: At the end of

the day, there is no doubt about whether a procedure

was morphologically successful or not.

The drawback of MBN is the necessity to have the

chosen imaging modality in the therapeutic suite,

which adds complexity. On the other hand, the need

for intraoperative imaging is being recognized in

more and more surgical disciplines, making imaging

modalities more available in surgical settings. The

problems of added complexity must in future be

solved by a higher level of technological integration.

As soon as a capable imaging is in the therapeutic

environment, MBN is an attractive option.

The question of which imaging modality is preferable

in which situations remains. In our view:

• 2-D fluoroscopic MBN is attractive in anatomically

simple situations, eg, in long bone injuries, where

soft tissue depiction is not required.

• 3-D fluoroscopic MBN shines in anatomically com-

plex situations, eg, in ankle or wrist fractures,

where the volume to be imaged is small and soft

tissue depiction is not required. 3-D imaging of

the spine may therefore also be an appropriate

indication.

• CT-MBN is perfect for anatomically complex situa-

tions where the volume to be imaged may be large

and soft tissue depiction is helpful, eg, in pelvic

or trunk trauma.

• MR-MBN is best in anatomically complex situations

where soft tissue depiction is paramount, as in

neurosurgery.

In conclusion, modality-based navigation is a

very efficient and safe tool for computer aided

interventions. Several imaging modalities may be

used, depending on the clinical situations and avail-

abilities.

References

1. Messmer P, Baumann B, Suhm N, et al. (2001) Navigation

systems for image-guided therapy: A review. Rofo Fortschr

Geb Rontgenstr Neuen Bildgeb Verfahr; 173: 777–84.

2. Russel Taylor SL, Burdea G, Moesges R (1996) Computer-Inte-

grated Surgery. MIT Press.

3. Jacob AL, Messmer P, Kaim A, et al. (2000) A whole-body

registration-free navigation system for image-guided surgery

and interventional radiology. Invest Radiol; 35: 279–88.

4. Nabavi A, Gering DT, Kacher DF, et al. (2003) Surgical naviga-

tion in the open MRI. Acta Neurochir Suppl; 85: 121–5.

5. Bidgood WD Jr, Horii SC, Prior FW, et al. (1997) Understanding

and using DICOM, the data interchange standard for biomedi-

cal imaging. J Med Inform Assoc [Am]; 4: 199–212.

6. Gebhard F, Kraus M, Schneider E, et al. (2003) Radiation

dosage in orthopedics–a comparison of computer-assisted

procedures. Unfallchirurg; 106: 492–497.

7. Schaeren S, Roth J, Dick W (2002) Effective in vivo radiation

dose with image reconstruction controlled pedicle instrumen-

tation vs. CT-based navigation. Orthopade; 31: 392–396.

Correspondence address:

PD Dr. Peter Messmer

Division of Trauma Surgery

Department of Surgery

University Hospital Zurich

8091 Zurich, Switzerland

E-Mail: [email protected]