Abstract
Conventional, static magnetic resonance imaging (MRI) is able to provide a vast amount of information regarding the anatomy and pathology of the musculoskeletal system. However, patients, especially those whose pain is position dependent or elucidated by movement, may benefit from more advanced imaging techniques that allow for the acquisition of functional information. This manuscript reviews a variety of advancements in magnetic resonance imaging techniques that are used to image the musculoskeletal system dynamically, while in motion or under load. The methodologies, advantages and drawbacks of Stress MRI, Cine PC MRI and Real-Time MRI are discussed as each has helped to advance the field by providing a scientific basis for understanding normal and pathological musculoskeletal anatomy and function. Advancements in dynamic MR imaging will certainly lead to improvements in the understanding, prevention, diagnosis and treatment of musculoskeletal disorders. It is difficult to anticipate that dynamic MRI will replace conventional MRI, however, dynamic MRI may provide additional valuable information to findings of conventional MRI.
Keywords: Magnetic resonance imaging, dynamic imaging, kinematics
INTRODUCTION
Accurate, in vivo measurements of joint loading and motion are necessary to the understanding of joint mechanics and the effective diagnosis and treatment of musculoskeletal pathology. Originally motivated by the fact that many pathologies arise from and affect joints during loading or movement, much work has been done to understand the roles of abnormal joint mechanics in the progression of musculoskeletal disorders. For example, the altered joint mechanics associated with both anterior cruciate ligament (ACL) deficient and ACL reconstructed knees are associated with and may contribute to the development and progression of osteoarthritis1-3. Additionally, abnormal patellofemoral joint kinematics is often cited as a risk factor for the development and progression of patellofemoral pain4-5. Techniques allowing the understanding of healthy joint mechanics as well as abnormal joint mechanics will respectively enable practitioners to establish normative values and diagnose, evaluate and treat musculoskeletal disorders.
Several methods for measuring joint mechanics exist and have been successful in enabling practitioners to better understand joint alignments, loading and kinematics. In the past, data of joint loading and motion have typically been collected from cadaveric studies and external measurements of limb movements obtained with motion capture methods6-9. Although helpful, these measurement techniques often fail to accurately replicate the complexities of a joint since cadaveric studies do not imitate in vivo conditions and motion capture techniques are based upon surface anatomy through the use of skin-based marker systems9. More precise methods of obtaining in vivo joint mechanics have been developed. One of these techniques involves attaching optical markers intracortically to obtain measurements of bone motion during functional tasks. This method, although providing much insight to in vivo bone kinetics and having accuracies of 0.5 mm, has its disadvantages10. The process of attaching the markers to the bones of interest is both invasive and difficult to perform; additionally, this technique provides little information with regard to the mechanics of the surrounding soft tissue. Other methods that still permit accurate measurements of bone mechanics include fluoroscopy and biplane radiography. Both enable direct visualization of bone mechanics during dynamic tasks, however they are limited since they are projective imaging modalities and three-dimensional (3D) registration must be performed to provide a clinical perspective and accurate 3D measurements11. These methods may utilize a marker-based registration technique12-14 or an intensity-based registration technique12,15-18. The former, although having reported accuracies of 0.06 mm11, 13 - 1.0 mm11, 12 plane and 0.06 mm11, 13 - 2.1 mm11, 12 out of plane, requires the implantation of fiducial bone markers, exposes the subject to ionizing radiation and provides little information about the surrounding soft tissues. Intensity-based registration, which is often derived from a 3D model obtained with images from a computed tomography (CT) scanner, suffers in that it also exposes the subject to ionizing radiation and provides little information about the surrounding soft tissue. This registration method has reported accuracies of 0.42 mm11, 16 - 1.74 mm11, 12 in plane and 1.58 mm11, 12 - 5.6 mm11, 16 out of plane.
Due to its high resolution, noninvasive nature and multiplanar imaging capabilities, magnetic resonance imaging (MRI) has emerged as a promising method for imaging the musculoskeletal system19. It is an especially useful tool with which to evaluate soft tissue structures around joints in vivo as it permits one to manipulate contrast. Conventional MR imaging is typically carried out under non-weight bearing, non-dynamic conditions, however many recent advances in the field enable a more physiologic evaluation of the joints.
STRESS MRI
One of the recent advances in the field of MR imaging is a technique called stress MRI. A stress MRI takes place in atypical positions or when a joint is under a load. This technique emerged in recognition of the fact that pain typically arises and affects joints during loaded positions or in positions dependent upon stress conditions. Several studies have confirmed that static, unloaded positions are not representative of physioloical or loaded positions and that in a clinical setting, evaluating a patient in the non-weight-bearing position alone may result in misdiagnoses20-24. It is important to recognize and appreciate the complex interactions of the various forces at play on the joints whether they are active muscular forces or dynamic physical forces, such as gravitational, contact or inertial25, 26.
Two primary means of obtaining a stress MRI are accomplished through the use of an upright open-bore MRI scanner and a supine closed-bore scanner that may utilize a weight bearing apparatus. Most commonly used for the knee, the upright open-bore scanner that may utilize a custom back support, enables the MR image to be acquired under physiologic, loaded and even flexed conditions27. The use of the back support system is limited, yet expanding. Figures 1a and 1b are examples of the double doughnut configuration28. The drawback of this imaging technique lies in the lower field strength of open-bore scanners resulting in a lower resolution due to a decreased signal-to-noise ratio28. The closed-bore option can be used to image weight-bearing, atypical positioning, functional positions or some combination of variants. Although a harness and footplate may be used to simulate weight-bearing in a closed-bore MR system, it may not allow for the appreciation of all aspects of upright loading, as the close-bore system tends to limit the patient’s range of flexion28 Figure 1c. There are, however, new wide-bore (70cm) 3.0T MR systems that provide high field supine imaging that allow for more stress and motion possibilities. As with any weight bearing system, a relevant limitation is that of muscle fatigue. Additionally, consideration must be taken to select a high-quality RF coil that does not limit the motion being studied. Of important note is the lack of these scanners in clinical use due primarily to the considerations taken into account when purchasing a scanner. In a clinical setting, the ability to conduct high resolution supine MR imaging, especially of the brain and spine, is critically important. For this reason, the use of horizontal closed-bore scanners with harnesses and footplates is a common supine alternative to upright open-bore MR imaging. Table 1 and Table 2 highlight the advantages and drawbacks of using an open configuration and a supine closed-bore MR imaging system, respectively.
Table 1.
Advantages | Drawbacks |
---|---|
Imaging in more physiologic conditions | Lower field strength |
Decreased patient confinement | Increased exam time and cost |
Less clinically available | |
Possibility of fatigue or pain due to pathological condition |
Table 2.
Advantages | Drawbacks |
---|---|
Higher field strength | Imaging in less physiologic conditions |
Decreased exam time and cost | Increased patient confinement |
More clinically available | Specialized hardware may be required for loading or stress |
The applications of stress MR imaging often outweigh the systems’ inherent limitations. As previously mentioned, pain is often elicited in only certain positions or under loaded conditions, making stress MR imaging often more beneficial than conventional MR imaging under particular conditions. Studies have shown that compared to a routine MR image, an axial loaded MR image of the spine can provide additional valuable information and can influence physicians’ treatment decisions29, 30.
Stress MR imaging techniques, which have been demonstrated to have strong accuracy and subject-repeatability measures, have also led to an increased amount of knowledge regarding the physiology and biomechanics of important tissues within the joints31,32 Table 3. Some of this research has focused on the patellofemoral joint, as patellofemoral pain syndrome (PFPS) is a frequent cause of knee pain. Gold et al. demonstrated that with an open-bore scanner and a custom back support, it is feasible to image patellar cartilage accurately during physiologic loading28. The increase in the cartilage contact area in the patellofemoral joint under a load that the group observed displays the potential of stress MR imaging in the understanding, evaluation and treatment of PFPS and the patellofemoral joint as a whole28 Figure 2. Kinematic joint changes, thought to be an important factor in the onset and progression of osteoarthritis (OA), have been evaluated in healthy, ACL-deficient and ACL-reconstructed knees with the stress MRI technique33, 34. Imaging at various degrees of flexion and extension has allowed clinicians to obtain more physiologic measurements of contact area centroid locations in healthy, pathologic and reconstructed knees leading to a better kinematic understanding of the joints35. As OA has grown to affect over 27 million adults in the United States, the understanding of this disease and its risk factors becomes increasingly more important36. Menisci of the knee are congruent to the tibial and femoral condyles and among many things, function to absorb shock and transmit the load of the weight of the body. In order to appropriately accommodate the body’s position and facilitate load distribution, the menisci are adaptable and shift with respect to the articular surfaces to increase surface area37-39. Studies have demonstrated that in knee flexion, both the medial and the lateral menisci posteriorly translate on the tibial plateau and that upon conditions of loading, the menisci shift, most significantly in the anterior horn of the lateral meniscus, to accommodate the stress40, 41. Understanding of these meniscal dynamics may have clinical relevance to diagnosis, prevention and treatment of meniscal injury.
Table 3.
Technique | Application | Accuracy* (in mm of in-plane translation) | Subject-repeatability** (in mm of superior inferior translation / ° of patellar tilt) |
---|---|---|---|
Stress MRI | Imaging of joints in atypical positions or under a load | 0.30 (0.11) 31, 32 | 0.81 (0.37) / 1.04 (0.35) 32 |
Cine PC MRI | Imaging of anatomy and velocity during dynamic tasks | 0.28 (0.22) 31 | 0.73 (0.31) / 1.10 (0.35) 31 |
Real Time MRI | Imaging of anatomy and velocity during dynamic tasks in a single motion cycle | 2.011, 31 | -- / 2.011, 21 |
Validated accuracy reported for patellofemoral joint as absolute average error or RMS error. The mean standard deviation is listed in parentheses. Sagittal plane was assumed for in-plane motion, worst error for all three motion direction planes listed if all were acquired.
Validated subject-repeatability reported for the patellofemoral joint as mean across subjects of the standard deviation across trials.
Since the shoulder has the widest range of motion of any joint in the body, the space and flexibility provided by open MR units suit imaging of the shoulder joint well42. The open configuration of the system allows a technologist or radiologist to perform clinical stress testing and interventional procedures to carry out an all-in-one MR arthrography and evaluate the joint for the presence and direction of glenohumeral instability43-46. These evaluations stand to decrease the number of extra personnel and transportation needed to move a patient between rooms and can provide valuable information to the surgeon designing a treatment or surgical plan43, 47.
CINE PC MRI
Cine phase contrast (cine-PC) MR imaging, originally developed to study flow and motion in the cardiovascular system, is a noninvasive, in vivo kinematic technique capable of measuring 3D velocities of tissue within an imaging plane during tasks involving movement48, 49. Cine-PC MR imaging was developed through the combination of two separate MR imaging techniques. The first of which, cine MRI, produces a series of quasi-static anatomic images at various stages of the motion cycle during a single acquisition. The object and motion being imaged must be repeatable and gated to the MR data acquisition. Cine MR imaging collects data continuously over several cycles and retrospectively sorts data with a synchronization trigger in order to compensate for periodic motion48. The second technique, phase contrast MR imaging, quantifies local velocity and creates a velocity map by using velocity-dependent pulse sequences to extract the velocity from the phase of signal48. By combining these two techniques, cine-PC MR imaging provides an anatomic image and three orthogonal velocity images (vx, vy, vz) for each frame48. Cine-PC MR imaging has been shown to be a promising method with which to study knee joint kinematics48, 50, 51. In recent studies conducted by Behnam et al., cine-PC MRI has been demonstrated to have strong accuracy and subject-repeatability in the assessment of in vivo musculoskeletal motion tracking at 3.0T31 Table 3.
The primary drawback of cine-PC MR imaging is that it requires multiple repetitions of the same motion cycle, which subsequently presents more challenges. If the motion cycles are not repeated accurately, the image quality can degrade significantly. Only small loads upon the body can be tested as multiple motion cycles may lead to subject fatigue. Additionally, subjects with conditions that do not allow them to perform the repeated action being studied may 1) require the investigator to passively move the subject’s limb or 2) may not be able to be studied with cine-PC MR imaging. Finally, as these techniques were developed to image the flow and motion in the cardiovascular system, imaging musculoskeletal velocities, which are significantly slower, presents a challenge. To use cine-PC MR imaging to measure slower velocities, a larger encoding gradient is necessary49, 52.
Despite these drawbacks, cine-PC MR imaging has been used to gain vast amounts of understanding in reference to musculoskeletal structure and function. Cine-PC MR imaging has been used by Asakawa et al. to further understand muscle mechanics following tendon transfer surgery53, by Pappas et al. to challenge the conventional thinking that muscle fascicles shorten uniformly54 and by Finni et al.55, 56 to investigate the complex deformations of the isometrically contracting soleus muscle. Recently, cine-PC imaging has been used by Bradford et al. with PC-VIPR to measure tibio-femoral kinematics and to visualize cartilage contact during movement in the hopes of teasing out the eitiology of early onset OA following ACL reconstruction57 Figure 3. Cine-PC imaging has also been used by Hodgson et al. to track and study the strain along the aponerosis-tendon length58. In this manner, a trajectory is calculated for every pixel and strain distribution can be seen at all times throughout the contraction cycle. In studying particular muscles with the cine-PC MR imaging technique, a better understanding of how specific muscles produce force and displacement can be acquired58.
Since muscle deformations are often highly complex and 3D, they can be better understood with MR tagging and MR imaging with displacement encoding with simulated echoes (DENSE) techniques, which are better approaches to extracting fine resolution displacements and strain fields than cine-PC MR imaging9. Spin tagging is accomplished by inverting spatially separated thin bands of protons and allowing motion visualizing as distorted tagged lines in subsequent temporal phases9, 59-61. Unfortunately, spin tagging lacks information between tags and experiences tag line fading9. It has, however, been used to understand myocardial wall and skeletal muscle motion as it enables a deeper appreciation of three-dimensional tissue motion56, 62. DENSE MR imaging encodes tissue displacement into the phase of the stimulated echo by encoding motion over long time intervals31, 63. To date, several researchers have successfully utilized DENSE to evaluate strain within myocardial tissue31, 63, 64. By using DENSE MR imaging, Zhong et al. demonstrated in vivo skeletal muscle mechanics to a level of precision that was not previously possible. By illustrating that two-dimensional strains during low-load elbow flexion were nonuniform throughout the biceps brachii muscle, they exemplified the complex multi-dimensional deformation of skeletal muscle that occurs during contraction65 Figure 4.
REAL TIME MRI
Real-time MRI, in addition to also originating as a technique with which to image cardiovascular motion and flow, holds great promise in the evaluation of joints during volitional tasks11, 66,. Real-time MR imaging, although primarily conducted in 2D in the musculoskeletal system, is advantageous as it acquires a time series of single image slices in only one motion cycle and the velocities that are measured are not averaged over multiple cycles of motion. In contrast to cine-PC MR imaging, by only requiring one motion cycle, real-time MR imaging makes subject fatigue less of a concern and permits subjects with conditions preventing them from repeating certain movements to be evaluated. Fatigue is also minimized as image plane data can be acquired quickly with real-time MRI and can be reconstructed with image display rates of 24 frames/sec11, 67. Additionally, the imaging plane can be continuously defined and updated in real-time to continue tracking an object if motion out of the imaging plane occurs67.
It should be noted that the accuracy associated with real-time MRI is highly dependent upon the type of scanner used. The signal-to-noise ratio, the acquisition frame rate and the image resolution all affect accuracy and are, themselves, dependent upon the slew rate and magnitude of the gradients, the homogeneity of the main magnetic field and the field strength of the scanner11. Although cine-PC MR imaging has slightly better accuracy and repeatability measurements, real-time MRI may be more desirable for those subjects who fatigue easily or those who are unable to repetitively perform the movement being imaged11, 21, 68 Table 3.
To accompany and enhance the development of kinematic imaging with real-time MRI many hardware and software advancements have been made. Flexible knee coils have been developed, tested and shown, in a very few number of subjects, to have similar results to static data while reporting high SNR values and homogenous coverage69, 70. A high-resolution steady-state free precession (SSFP) pulse sequence was applied to track bone motion with real-time MR imaging. Upon testing and with the use of shape-matching algorithms, 3D in vivo joint kinematics were accurately established with millimeter resolution71.
Draper et al., recently used real-time MR imaging to demonstrate the differences in weight-bearing response and measured patellofemoral kinematics between subjects with patellofemoral maltracking and those without21 Figure 5. The measurement of moment arms is another valuable application to which real-time MR imaging has proved useful. A moment arm, the perpendicular distance from the joint center to a particular muscle’s line of action, defines the function of a muscle around a particular joint and can verify the accuracy of representations of muscle paths72. Like many of the previously discussed applications, the measurement of moment arms has traditionally been estimated with cadaveric73, ultrasound74, CT75 and static MRI76-78 studies. Blemker and McVeigh have demonstrated the feasibility of the measurement of moment arms in the knee throughout its full range of motion with the real-time MR imaging technique in a wide-bore scanner9, 79 Figure 6. The ability to characterize moment arms under more physiologic conditions with kinematic imaging techniques is a powerful technology made even more valuable when performed in combination with other MR-based applications as comparisons can be made between the image data and the model9.
A slight variation of real-time MR imaging is real-time PC MR imaging which can be applied to measure in vivo skeletal muscle velocity during dynamic motion52. As this method was, again, initially developed to image cardiac flow, modifications were made in order to image slower musculoskeletal motion. Asakawa et al. demonstrated the ability to acquire accurate measurements of encoded velocities in both the biceps brachii and triceps brachii using real-time PC MR imaging52. Similar to the previous applications of real-time MR imaging, this technique is valuable, as it requires only one motion cycle while providing a means of understanding musculoskeletal structure and function.
CONCLUSION
In the above review, several MR imaging methods that enable a better understanding of functional aspects of the musculoskeletal system are described. The data acquired from these techniques has helped to advance the field by developing more realistic models of the musculoskeletal framework and helping to answer important biomechanical questions. While the novelty of these functional imaging techniques holds potential in advancing the field, the primary application of these imaging techniques is still within the research realm where the focus is currently centered around the optimization of such techniques. The developments presented by the described methods can be combined with other image-based musculoskeletal modeling techniques and have already begun to provide clinically useful insights and revolutionize the study of musculoskeletal anatomy, pathology and function.
Acknowledgments
Funding acknowledgments include NIH EB002524, NIH EB005790, General Electric Healthcare and SCBT/MR. Funding from these sources allowed for the conception and design of the study as well as the acquisition, analysis and interpretation of the data. Funding also allowed for the drafting and revision of the article.
Footnotes
AUTHOR CONTRIBUTIONS: Dr. Garry E. Gold and Lauren M. Shapiro have both made substantial contributions to all of the three sections listed: 1) the conception and design of the study, or acquisition of data, or analysis and interpretation of data, 2) drafting the article or revising it critically for important intellectual content and 3) final approval of the version to be submitted. Both authors contributed to the article’s conception and design, analysis and interpretation of the data, drafting of the article, critical revision of the article for important intellectual content, final approval of the article, provision of study materials or patients, statistical expertise, obtaining of funding, administrative, technical or logistical support, and the collection and assembly of data. Both Dr. Gold (gold@stanford.edu) and Lauren M. Shapiro (laurenms09@gmail.com) take responsibility for the integrity of the work as a whole, from inception to finished article.
CONFLICT OF INTEREST: G.E.G. received research support from General Electric.
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