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1 From the Departments of Ophthalmology, 2 Image Sciences Institute, and 3 Departments of Radiology and 4 Pathology, University Medical Center Utrecht, The Netherlands.
| Abstract |
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METHODS. Sequences of MRI scans were acquired (acquisition time, 5 seconds) in a shootstop manner, while the patient fixated at a sequence of 13 gaze positions (8° intervals). Motion was quantified off-line (in millimeters per degree of gaze change) using an optical flow algorithm. The motion was displayed in a color-coded image in which color saturation of a pixel shows the displacement and the hue the displacements orientation. Six healthy volunteers and four patients (two with an orbital mass and two with acrylic ball implant after enucleation) were studied.
RESULTS. The technique was found to be clinically feasible. For a gaze change of 1°, orbital tissues moved between 0.0 and 0.25 mm/deg, depending on the type of tissue and location in the orbit. In the patients with an orbital mass, motion of the mass was similar to that of the medial rectus muscle, suggesting disease of muscular origin. In the enucleated orbits, soft tissue motion was decreased. One eye showed attachment of the optic nerve to the implant, which could be verified by biopsy.
CONCLUSIONS. MRI-DCM allows noninvasive and quantitative measurement of soft tissue motion and the changes in motion due to pathologic conditions. In cases in which the diagnosis of a tumor in the apex is in doubt, it may reduce the need for biopsy. In contrast to static computed tomographic (CT) scans and MRIs, it can differentiate between juxtaposition and continuity and may be a new and promising tool in the differential diagnosis of intraorbital lesions.
| Introduction |
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We have developed a new technique, MRI-dynamic color mapping (MRI-DCM) to quantitatively measure the motion of orbital tissues, using cinematic MRI with short acquisition times (5 seconds/image), combined with powerful image-processing techniques.2 3 4 The purpose is to express the motion of orbital soft tissues in millimeters per degree of change in gaze and display these in a color-coded image in which the hue of a pixel is determined by the orientation and its saturation by the length of the underlying motion vector.5 6 This technique allows the study of motion in relation to gaze changes, but not yet of saccades and pursuit movements, because the temporal resolution of orbital cinematic MRI currently does not allow it.
Disorders of orbital tissues can all influence soft tissue motion: for example, space-occupying lesions, enucleation with prosthesis implantation, Graves orbitopathy, or trauma. Measuring such changes may aid in localizing and differentiating orbital tumors, exploring prosthesis motility, and observing tissue attachments in the case of enucleation and trauma. In addition, it is known that in Graves orbitopathy, motility disturbances are related to muscle tightness and swelling, increased intraorbital pressure, and inflammatory changes in muscles and intraorbital fat tissue. After decompression surgery, motility disturbances may either increase or decrease, and surgical management of these disturbances is not as straightforward as in other cases of acquired strabismus. By measuring the motion of orbital tissues, we may be able to more fully understand the causes of motility disorders in Graves orbitopathy, especially after decompression surgery.
The purpose of the present study was to investigate the feasibility and usefulness of MRI-DCM and to establish the additional value of MRI-DCM in the differential diagnosis of orbital lesions.
| Methods |
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Cinematic MRI scans were obtained according to our previous protocol.5 Images are acquired on a 1.5-T scanner (Gyroscan NT, release 4; Philips, Eindhoven, The Netherlands), using a head coil. The scans are angulated to include the optic nerves and the rectus muscles. Transversal and sagittal sequences of gradient echo T1-weighted images (turbo field echo [TFE], echo time [TE] 6.9 msec; recovery time [TR] 12 msec; 4-mm slice thickness, field of view 170 mm, matrix 128 x 128 or 256 x 256, scan time 5 sec) are acquired in a shootstop manner. During acquisition, the patient fixates sequentially on a row of 13 horizontal fixation marks placed at 8° intervals. The sequences are stored in digital imaging and communication (DICOM) format and analyzed by software developed by the first author. The actual gaze angles are corrected for parallax, taking into account interpupillary distance and distance of lateral orbital rim to the fixation marks.
After prefiltering with a Gaussian spatiotemporal filter, the image sequences are quantified. The motion estimates are obtained by the optical flow algorithm that was first introduced by Lucas and Kanade and has been extensively described in a review by Barron et al.7 The algorithm obtains estimates of the motion of all points in the image of interest in a sequence of time-varying images using T1 signal intensity variations over time. All optical flow vectors are converted (from pixels per frame) to millimeters per degree/millimeters of motion per degree change in gaze. The optical flow fields are subsequently mapped to a color-coded image so that the color of any pixel shows both orientation over 360° (coded by hue) and length of the flow vector (coded by saturation) for that pixel (See Fig. 1C ). All pixels with reliable flow are set to the color appropriate for their magnitude and orientation in the corresponding gray-scale MRI image. If the flow is zero or cannot be measured reliably, the original MRI gray value shows. At displacements of 0.3 mm/deg the color of the pixel is fully saturated, whereas at lower displacements it becomes progressively paler. The software was written in Java and is available free of charge, including the sources, from the first author on request.
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| Results |
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Optical flow and dynamic color maps could be obtained from all patients. Motion in areas with little or no features (i.e., areas with similar signal intensity values) on MRI, such as the vitreous and the intraconal space, was difficult to measure reliably, so that no flow could be shown in these areas (Fig. 1) . The optical flow and dynamic color mapping techniques are relatively fast, so that a sequence of DCM maps is generated in a few seconds.
Normal Subjects
To obtain normal values for soft tissue motion, six healthy
volunteers, four men and two women, were studied. The age varied
between 23 and 35 years with normal corrected vision, normal ocular
motility, and normal ocular axis length. Figure 1
presents an example
of MRI-DCM. The subject is gazing from left to right in a horizontal
plane. The flow shown was measured with the gaze at 0° (straight
ahead). The colored index aids in understanding the relation of color
to flow vector length and orientation. All motions discussed below are
averages over the region of the corresponding soft tissue where motion
could be measured reliably. The lens moves to the right (red, mean 0.20
mm/deg), the medial rectus muscle of the right eye moves anteriorly
(blue, mean 0.15 mm/deg), and the insertion of the lateral rectus
muscle of the right eye moves posteriorly (pale yellow, mean 0.12
mm/deg). The optic nerve of the right eye moves to the left (green,
0.14 mm/deg). Its anterior portion has the largest motion (most
saturated green, 0.18 mm/deg). Similar motion can be seen in the left
orbit. There is slight motion around the nose, because the subject
follows his gaze by slightly turning his head (< 0.05 mm/deg). The
reliability of optical flow measured over relatively smooth areas such
as intraconal fat was usually below the threshold, and therefore no
flow is shown there. The motion in various anatomic structures is
summarized in Table 1
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Patients who have undergone enucleation of the eyeball may have persistent problems, such as cosmetic deformity, deep orbital pain, and decreased motion of the prosthesis. The usefulness of our technique was determined by examination of patients C and D. Enucleation had been performed according to the technique described by Collin,8 with a sclera-covered acrylic ball used as the implant.
The right eye of patient C, a 35-year-old woman, had been enucleated 2 years before the study because of a painful blind eye. Figure 3A shows a static transverse MRI scan. The external ocular prosthesis is visible. In these figures, the optic nerve stump seems to be close to the (round) implant (compare with the healthy optic nerve of the contralateral eye). However, it is impossible to differentiate between juxtaposition of the nerve to the implant and continuity with the implant. Figures 3B and 3C show the MRI-DCM for patient C. On left gaze (Fig. 3B) , the lens of the left eye is moving left, in green. The implant on the right side hardly moves left (pale green, 0.04 mm/deg). The insertion of the lateral rectus is moving anteriorly (pale blue, 0.05 mm/deg). The optic nerve stump does not show discernible motion (0.00 mm/deg). On right gaze (Fig. 3C) , the motion of the left eye is reversed. There is now some motion on the enucleated side, and the implant moves right (pale purple, 0.03 mm/deg). The posterior portion of the stump moves posteriorly (pale orange, 0.04 mm/deg). This shear of nerve and implant indicates juxtaposition and not continuity.
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| Discussion |
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There are a few disadvantages to MRI-DCM. It can be difficult in patients who cannot concentrate for an extended period, especially elderly patients who may find the large number of targets confusing. By improving the optical flow algorithm, we have (after this study was completed) been able to reduce this number. The technique is contraindicated in patients with pacemakers and arterial clips and in some patients with metal implants. Optical flow and DCM are image-processing methods that are most sensitive to tissues that show many MRI features (and have relatively inhomogeneous signal intensities). Motion is more difficult to measure reliably in tissues that are relatively smooth, such as vitreous and fat. Up to now, only two-dimensional motion can be measured.
MRI-DCM allows measurement of soft tissue motion in normal subjects. Motion tends to range between 0 and 0.25 mm/deg, depending on the type of tissue and the position of the tissue in the orbit relative to the eyeball. The measured range of motion for the lens is close to the one expected from the calculations (Table 1) . No objective measurement is currently available for orbital kinetics. The only possible validation would be by an invasive technique, probably influencing the very kinetics it is meant to measure.
MRI-DCM allows additional information beyond CT and MRI in orbital lesions and, in contrast to these techniques, allows a differentiation between juxtaposition and continuity of tissues. In patient A, MRI-DCM showed that the mass was continuous with the medial rectus muscle (the most likely cause being an origin in the muscle) thus facilitating the diagnosis of myositis. It may be of clinical value in differentiating the origin of a retrobulbar lesion and may replace the need for a risky biopsy in the apex of the orbit.
MRI-DCM allows measurement of soft tissue motion after enucleation. In patients C and D, soft tissue motion in the entire enucleated orbit (0.00.14 mm/deg) was less than that in the healthy contralateral orbit (0.00.24 mm/deg). This is in agreement with earlier nonquantified observations.9
Little is known about the anatomy in the orbit after enucleation and implant. MRI-DCM allows differentiation between juxtaposition of the optic nerve to and continuity with the scleral cover of the implant after enucleation. Much to our surprise we discovered that after enucleation, the optic nerve stump showed regrowth to the sclera cover. This finding has been confirmed by biopsy.10 Such attachments have previously not been recognized, probably because on static CT and MRI scans, it is impossible to differentiate between juxtaposition and continuity of structures. Further studies should be undertaken to reveal the clinical significance of this phenomenon.
We want to stress that the common basis for this last conclusion is that the more similar the motion of two adjacent structures (i.e., the more similar their colors in a MRI-DCM image), the more likely it is that they are continuous. In this study we examined only this aspect of orbital kinetics. We hope to extend our studies to disorders of ocular motility in the future.
| Footnotes |
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MDA is supported by a grant from the Fischer Fund.
Submitted for publication October 1, 1999; revised February 14, 2000; accepted March 31, 2000.
Commercial relationships policy: N.
Corresponding author: Michael D. Abràmoff, University Medical Center Utrecht, Room E03.136, Heidelberglaan 100, 3584 CX Utrecht, The Netherlands. m.d.abramoff{at}oogh.azu.nl
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