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J Cell Mol Med. 2009 August; 13(8a): 1428–1436.
Published online 2009 July 6. doi:  10.1111/j.1582-4934.2009.00836.x
PMCID: PMC2935622
NIHMSID: NIHMS162484

Image-guided tissue engineering

RE Horch, Guest Editor

Abstract

Replication of anatomic shape is a significant challenge in developing implants for regenerative medicine. This has lead to significant interest in using medical imaging techniques such as magnetic resonance imaging and computed tomography to design tissue engineered constructs. Implementation of medical imaging and computer aided design in combination with technologies for rapid prototyping of living implants enables the generation of highly reproducible constructs with spatial resolution up to 25 μm. In this paper, we review the medical imaging modalities available and a paradigm for choosing a particular imaging technique. We also present fabrication techniques and methodologies for producing cellular engineered constructs. Finally, we comment on future challenges involved with image guided tissue engineering and efforts to generate engineered constructs ready for implantation.

Keywords: tissue engineering, image guided, anatomically shaped, scaffolds, injection moulding, rapid prototyping
  • Introduction
  • Imaging techniques
  • Fabrication techniques
    • - Injection moulding
    • - Rapid prototyping
    • - Lithography
    • - Sintering
  • Conclusions

Introduction

Tissue engineering attempts to generate new living tissues through the use of engineering principles and biological sciences [1]. There are many different techniques and methodologies used to generate these new tissues (Fig. 1), which have progressed beyond contemporary structural design. Traditionally, when constructing a building, the process begins with the designer using a protractor, straight edge and compass to produce a sketch that will be translated to computer aided design (CAD) software for blueprint production. However, in nature, one rarely sees right angles and straight edges. In the human body the curved surfaces on the exterior of the body result in one's identity (e.g. facial mapping and finger prints). Internally, geometric features result in proper joint load distributions in the hip, knee and ankle. Blood flow in a beating heart is properly restricted by the size and behaviour of leaflet valves. Larger organs, such as the liver, have highly organized circulating systems necessary to deliver oxygenated blood through the larger structure. Replicating the complex geometries in naturally occurring structures in the body will require more than protractor and compass. To this end, the development of high-resolution imaging techniques combined with biomaterials processing technology has given rise to the field of image-guided tissue engineering.

Fig. 1
Image guided tissue engineering process tree.

Typically, imaging modalities such as magnetic resonance imaging (MRI) and computed tomography (CT) have been used as diagnostic tools to visualize the body and develop treatment strategies. Treatment strategies include choosing the type of implant, designing a patient specific implant/prosthetic or perhaps using medical imaging data to guide implantation of a device. Medical imaging can be used not only for prosthetic designs, but can serve as templates for organ scaffold construction. Medically, there exists a large need to provide alternatives for cadaveric allo-grafts, autografts and prosthetic implantations. For example in orthopaedic surgery, the number of patients receiving total hip and knee replacements in 1995 totalled 457,000 in the United States alone and is expected to double by the year 2025 [2]. Although the number of patients affected is smaller, those awaiting liver transplant had a death rate of 8.3% in 1999 [3]. Similarly, patients awaiting a heart transplant have a 6-month mortality rate of 24–70%[4]. Facial reconstruction, though less life threatening, represents a cornerstone that interfaces cosmetic and reconstructive surgery to restore both functionality and aesthetic properties important to one's quality of life [5].

Regardless of applications, control of the geometry of transplanted tissue is important. Internally transplanted tissues need to fit into the desired space and conform to the surrounding tissues. As a result, surgeons are often required to manually alter the organs/tissues to ‘fit’ the recipient whether it is a liver, heart, meniscus, or flap of skin. In addition to function, external tissue transplants require appearance to be taken into consideration as well. However, aesthetic appearance becomes a secondary objective to functionality and restoration of health, because no established treatment exists that meets all other primary criteria to prevent rejection, chronic pain and decrease mortality. Indeed some of the most exciting applications of tissue engineered (TE) technology have involved replication of anatomic geometry.

Some early examples in the field of tissue engineering have been successful in forming cartilage in the shape of a human ear [6], producing a bone-cartilage composite shaped as a mandibular joint [7], generation of a distal phalanx for thumb reconstruction [8] and anatomically shaped menisci for the knee [9]. In these cases, geometry was generated from moulds taken from the intended tissue. These initial studies, although very important, are unlikely to be implemented on a wide scale for generating patient specific geometry on a case by case basis. An obvious solution would be using medical imaging to obtain the necessary information on the patient's specific anatomical needs. This article will present a brief review of the current methods used to replicate the complex tissues in the body.

Imaging techniques

Anatomical geometries can be extracted from any medical imaging modality capable of rendering a 3D image, such as angiography, fluoroscopy, mammography, MRI, CT, μCT, stereophotogrammetry (3D photogrammy) and ultrasound. Although there exists a large selection of imaging modalities from which to choose, MRI and CT are the most widely used to visualize cardiovascular, musculoskeletal, neural and dental tissues. However each imaging technique may present distinct advantages for a specific application of tissue replacement.

MRI can readily register bone and soft tissues and has scan volumes that can range from as large as the human body to small precision scans that image the wrist and knee (Table 1). Scan times for an MRI range from 5 to 40 min. with resolutions that increase with both scan time and magnetic coil strength. Resolutions for a 3T MRI have been reported as high as 250 μm × 250 μm × 0.5 mm. Scan time can be reduced with the use of higher powered magnetic fields, but human beings are rarely exposed to fields greater than 3 Tesla (T). Exposure to a 7T MR coil can cause higher incidence of discomfort and sensations of vertigo than lower strength MR coils [10]. Although MRI scans are preferred over CT because there is no radiation exposure, it is important to note that there is a sizable percentage of the population that experiences uncomfortable anxiety and claustrophobia when having a full body MRI (Table 1).

Table 1
Image modality characteristics

CT scans can generate higher resolution images than MRI (0.24–0.3 mm), but can only image bone without the use of contrast agents (Table 1). Three-dimensional models are more readily generated from CT scans with little to no manual editing, where as MRI requires many manual techniques to acquire the geometry [11]. Scan times are much shorter for CT than for MRI, but this imaging technique requires the use of ionizing radiation. This presents a minimal but finite risk to individual patients, but collectively a much bigger risk to larger patient population.

μCT has ultra high resolution (1–200 μm), but is limited by the volume in which it can scan (Table 1). Due to the volume limitation of μCT, it cannot be considered non-invasive for animals larger than mice. Also, μCT, like CT, will not readily register soft tissues in the absence of contrast agents, which may alter tissue structure or geometry.

Ultrasound can readily image most tissue and does not use ionizing radiation or require a person to be in an enclosed area. Although scan times for ultrasound are short, it is limited in the resolution quality it can provide (1 × 1.5 × 0.2 mm) [12]. Typical volumes that are scanned via ultrasound include small structures such as blood vessels to large ones such as neonatal infants (Table 1).

Three-dimensional digital photogrammy can obtain high-resolution images (150 μm) in less than a minute (Table 1). Three-dimensional photogrammy is primarily used for external structures it is done in an open area so patients do not have to worry about the claustrophobia that is common to MRI. Further, there is no ionizing radiation associated with 3D digital photogrammy, unlike CT or μCT.

The process for selecting the most appropriate imaging method is tightly coupled to the target tissue. For example, if the desire is to obtain medical imaging data from a patient to generate a femoral head, meniscus, or heart leaflet valve, three very different approaches would be used. In the case of the femoral head, although CT would provide the highest resolution image of the boney structure, it does not image cartilage or soft tissues readily. μCT would not be used because the femoral head is too large to fit into current scanning devices. An MRI scan, on the other hand, could be used to obtain both the articular surface and boney structure without contrast agents.

In the case of the meniscus, the most medically relevant choice is MRI. High-resolution images of the meniscus can be obtained via MRI by increasing the scan time. However, increased scan time increases cost and becomes a compliancy issue for the patient. The longer the patient is required to remain still during the scan the higher the probability of geometry artefact due to movement. The alternative would be to excise the tissue from the joint, soak it in a contrast agent to allow for μCT scanning. It is important to note that MRI can acquire geometries under loaded conditions whereas μCT may have altered geometry due to being soaked in a contrast agent.

In the case of the heart valve, MRI and CT both require contrast agents to visualize the inner workings of the heart and have similar image resolutions. Due to the high radiation exposure needed to perform a CT scan of the heart and the high expense associated with MRI usage, echocardiography (cardiac ultrasound) is becoming a more widely used non-invasive method to obtain 3D geometric models of mitral valves [13, 14]. However, to maximize resolution, the valve can still be excised, soaked in a contrast agent and scanned viaμCT.

Fabrication techniques

Generating anatomically shaped engineered tissues does not require medical images. As mentioned earlier, many early TE efforts to generate anatomically shaped constructs used impression moulds [6, 7, 1518] to serve as negative templates. The paradigm shift to using medical images for CAD design has only very recently been established [9]. There are multiple methods to replicate anatomical shape through injection moulding or different rapid prototyping techniques and for each method there exists an even larger choice of biomaterials to use as a scaffold. Choice of scaffold will dictate the design and fabrication process of the engineered tissue, which is driven by the application and tissue one is trying to generate. Here we will briefly take a look at some promising results across a number of different engineered tissues.

Injection moulding

As stated above, scaffold choice has a major role in guiding the fabrication process of generating TE constructs. Many traditional scaffold materials (e.g. polyglycolic acid fibres [PGA], polylactic acid [PLA], polycaprolattone [PCL]) require processing at high temperatures or in organic solvents to control shape. As such cells cannot be introduced until the scaffold has cooled and solvents have been removed. In contrast, materials such as hydro-gels undergo phase transitions that enable maintenance of cell viability during gel formation. As such, cells can be introduced to these materials prior to moulding.

Initial efforts in cartilage tissue engineering used acellular scaffolds and began with the simple geometries in the shape of triangles, rectangles and cylinders [17]. More complicated geometries were also achieved, such as a human ear using a synthetic non-woven mesh composed of PGA [6]. The PGA mesh was moulded into desired geometries through the use of plaster prosthetic mould, cells were then later seeded onto PGA scaffolds and allowed to culture subcutaneously in nude mice [6, 17].

Similarly, bone TE requires scaffolds with a high rigidity that emulates the physical properties of native bone. The processes involved in bone scaffold formation are often unfavourable for cell viability and therefore seeding of these constructs occurred after they were constructed. One such study successfully TE phalanges and small joints through the use of PGA and PLA [16].

The seeding of acelluar scaffolds has also been applied to engineered cardiovascular tissue such as blood vessels and heart valves. In one promising study, PCL was electro-spun into the shape of a trileaflet valve using a custom designed aluminium template modelled after native tissue before being seeded with cardiac cells for in vitro culture [19].

Although seeding cells after scaffold generation has produced promising results, this methodology is very time consuming and does not ensure equal cell distribution throughout the scaffold. A more efficient approach would be to seed scaffolds before they are formed, though this would require biomaterials with a non-toxic liquid phase that maintain viability during the solidification or gelation process. Biomaterials that allow this approach include, but are not limited to, alginate, agarose, chitosan, collagen gel, fibrin glue and poly(lactide-co-glycolide) (PLG). Some of the first such studies involved seeding chondrocytes into alginate [15]. The algi-nate-cell solution was crossed-linked with CaSO4 and injected into silastic impression moulds of chin and nose implants for facial reconstruction. Using various cell seeding densities they were able to culture these implants in the back of nude mice for 30 weeks and maintain both shape and cell viability [15].

Uniform cell distribution becomes more critical when generating injection moulds of larger constructs, such as the mandible for craniofacial reconstruction [15, 18] or the meniscus of the knee [9]. Seeding the scaffold while it is liquid enhances homogeneity of cell distribution upon initial construct formation. CAD-based injection moulds have been used to design a wide array of geometries from very small volume structures such as tympanic membrane patches (3 μl) [20], and engineered heart valves (~1 ml) [21], to larger sized tissues such as the meniscus (2–5 ml) [9]. The resolution for injection moulding has been reported to be 600 μm [22].

Injection moulding techniques, although not optimal for multi-material constructs, can be altered to generate more complex tissues. A prime example is the production of an anatomically shaped osteochondral construct based on stereophotogrammetry data via injection moulding [23]. Patellar shaped composites were made possible through computer numerical control (CNC) milling of demarrowed bone blocks that fit into a mould allowing for injection of cell seeded agarose resulting in partially integrated bone plugs [23]. Another composite injection moulding study by Mizuno et al. produced both a multi-material and multi-cellular TE intervertebral disc [24, 25]. The intervertebral disc was composed of an annulus fibrosus made from PLA/PGA scaffold and a nucleus pulposus made from calcium cross-linked alginate that was injected into the centre void of the PLA/PGA scaffold. Each region was composed of its respective cell type and exhibited both biochemical and mechanical properties similar to that of native tissue [24, 25].

One of the most recent advances in generating patient specific implants via injection moulding were achieved using alginate and meniscal fibrochondrocytes from bovine knees [9]. The geometry was obtained using both MRI and μCT scans of sheep knees and used to produce CAD moulds that were 3D printed out of acryloni-trile butadiene styrene (ABS) plastic. Alginate-cell solution was cross-linked with CaSO4 and cultured for up to 8 weeks in vitro. Anatomical shape was retained and constructs had both mechanical and biochemical properties similar to that of native tissues [9] (Fig. 2A). Future efforts are now focusing on stimulating extracellular matrix (ECM) production as well as evaluation of geometric fidelity based on imaging type and time in culture.

Fig. 2
(A) An injection moulded menisci derived from a μCT scan and fibrochondrocyte seeded alginate after 8 weeks of in vitro culture [9]. (B) Medical grade PCL composite formed via fused deposition modelling (Image provided by Dr. Dietmar Hutmacher, ...

Rapid prototyping

Rapid prototyping has many different variations (Table 2). The basis for this technique is to produce usable scaffolds in a short time scale (i.e. hours to days). Solid freeform fabrication (SFF) and 3D printing are two of the more popular rapid prototyping techniques that are capable of generating multi-material and multi-cellular anatomical constructs. Hutmacher and Cool have nicely reviewed applications of SFF on bone tissue engineering in this journal [26] (Fig. 2B).

Table 2
Fabrication techniques and the various biomaterials used for cell seeded scaffolds and acellular scaffolds as well as multi-cell/material capability and current resolution capabilities

Most bone TE methods involve seeding of acellular constructs or insertion of acellular implants with the expectation of cellular ingrowth in vivo. Some successful studies include the use of porous coral in the shape of a distal phalanx seeded with periosteal cells for thumb reconstruction [8], 3D printing brushite implants [27] and a cranial segment [28] using tricalcium phosphate (TCP) and tetracalcium phosphate respectively. Shek et al. used localized gene therapy to increase and localize cellular and tissue ingrowth using an SFF polypropylene fumarate/TCP composite that provided a stable matrix that could be matched to specific patient defect geometry [29]. Work by Sherwood et al. in conjunction with Therics, Inc. (Princeton, NJ, USA) produced osteochondral composites using TCP combined with either PLG or PLA for the chon-dral surface [30]. The composite structure exhibited region specific mechanical properties and integration between the two biomateri-als making it suitable for implantation [30]. Therics, Inc. also has a number of other TCP based therapeutic products that are currently undergoing clinical studies. SFF techniques are able to produce patient specific scaffolds that can be modified to increase and guide cellular in growth through variation of surface roughness, chemically bonded growth factors, and altered scaffold porosity [26].

For more heterogeneous tissues, such as the meniscus, heart valve and liver, control over spatial and temporal differences in cell type/morphology and mechanical properties is necessary. Achieving structures that have the necessary cell distributions and biomechanical properties is a major challenge. Cytoscribing, as termed by Klebe involved alternating deposition of layers of cells and materials to generate 2D and 3D tissues [31]. Klebe established this technique using a variety of different cell types from different species and bound them to substrates using fibronectin that was deposited via Hewlett Packard graphics plotter of ink jet printer [31]. More recently several groups have demonstrated simultaneous co-deposition of cells and materials. An excellent example of this is by Cohen et al. via SFF using alginate and chon-drocytes [32]. The work established the ability to print cell seeded alginate using different materials (i.e. two different grades of alginate) and in different structurally sound shapes including a disc, crescent and meniscus based on μCT data with printing resolution of 270 μm [32] (Table 2). Rapid prototyping has also been used in the fabrication of 3D hepatic tissues with complex internal microstructure. Constructs were generated using both multi-cell and multi-material as means to improve nutrient transport [33]. Cell printing efforts by Chang et al. have evaluated cell viability of HepG2 cells based on dispensing pressure and nozzle diameter with calcium cross-linked alginate [34] and combined these SFF techniques with lithography methods to generate 3D microorgans [35]. The microorgans had vascular networks serving as pharma-cokinetic models and were able to replicate consistent prints with 250 μm resolution [35] (Table 2).

Lithography

The transport of solutes and removal of waste products is a large concern in TE, especially when trying to engineer large volume tissues or engineering organs like the liver. In the body this solute transport is accomplished primarily by the vascular system, which is effectively a network of perfused micro channels. Traditionally engineered scaffolds have relied on the host to provide vascular-ization [36]. Lithography techniques have been applied to tissue engineering to produce predefined vasculature. Preliminary studies using a polydimethylsiroxane (PDMS) substrate established the efficacy of this technique using both hepatocytes and endothe-lial cells [36]. Other biomaterials used in lithography TE efforts include polyvinyl alcohol (PVA) with fibroblasts [37], PCL and PLG with vascular smooth muscle cells [38], PEG with osteoblasts [39] and embryonic stem cells [40], matrigel with epithelial [41] cells and fibroblasts [42], as well as collagen and agarose with fibroblasts [42]. Other work done by Khademhosseini et al. generated 3D micropatterned substrates consisting of hyaluronic acid and fibronectin seeded with cardiomyocytes, which aligned along the interface between the scaffold and glass substrate [43].

Recent innovative studies using chondrocytes seeded in alginate have shown great promise in their ability to generate various micro-fluidic patterns via laminated sheets with sealed channels as small as 25 × 25 μm [44, 45] (Table 2). After 4 weeks in culture, laminated sheets integrated well with no visible interface where two sheets were bonded together [46] (Fig. 2C). This work by Choi and coworkers really demonstrates the resolution of image based TE and can be implemented to produce larger volume constructs that not only have a custom circulation network, but a network that can be controlled spatially with gradients of nutrients, growth factors and region-specific flow rates [4446].

Sintering

The deposition of micro-particles or micro-beads to alter surface properties or to build up structures is known as sintering. Sintering has become a valuable fabrication technique that allows designation of specific localized properties that control for porosity, surface chemistry and mechanical properties. Most sintering efforts have focused on its application to bone TE through the use of PVA [47], hydroxyapatite (HA) [47], TCP [48] and PLG [49]. Studies have shown improved osteoblast cell growth throughout the sintered matrix [49].

Other works done with PLG and its application to cartilage tissue engineering have shown its ability to be used as a mouldable scaffold [50] capable of cellular proliferation and infiltration in vivo[51] (Fig. 2D). The use of sintering cell seeded PLG micro-beads in combination with free chondrocytes can be used to address focal defects in vivo. Furthermore, integrating the use of image guided tissue engineering bead-cell mixtures can be deposited to repair articular surfaces to their original geometry before injury. The repair resolution of this technique is only limited by the consistency and size of the micro particles/bead, which can range from 40–600 μm [4751] (Table 2).

Conclusions

Image guided tissue engineering shows great promise for the generation of patient specific engineered tissues. CT and MRI can provide adequate templates for custom, patient-specific implants. Other imaging modalities do hold promise but have yet to be established. Although most image based efforts have focused on musculoskeletal tissues, image-based templates are starting to be used for cardiovascular models and small scale micro-vascular channels for hepatic tissues via CAD. The methods for generating these constructs vary greatly depending on the scale, tissue type and biomaterial. There exists the possibility to not only generate constructs that mimic the gross anatomy, but also generate proper substructure and networks of the desired tissue.

Both injection moulding and SFF techniques can generate anatomically shaped TE constructs that appear to have high geometric fidelity. A major challenge to all who work on image-guided tissue engineering lies in the lack of methods to quantify shape fidelity of fabricated implants. Similarly, there is essentially no data describing how shape fidelity is maintained throughout culture whether in vivo or in vitro. These issues are complicated by the fact that there is still no established technique for evaluating shape fidelity of anatomically shaped TE constructs. The topic of shape fidelity is still in dire need of further investigation, because for many of these complex shaped tissues such as the meniscus [5254] or heart halve [55, 56] critical dimensions and tolerance levels for implantation are still being debated.

It is clear that medical imaging is an excellent tool to quantitatively define the geometry of structures especially in situ, such as the meniscus or heart valve. Now with new advances in medical imaging techniques, location specific microstructure can be extracted as well. Three-dimensional printing can provide the ability to create tissue-specific properties that vary with location within the tissue/organ (i.e. cell type, mechanical properties, porosity, etc.), which would otherwise not be possible with injection moulding. Spatial properties can be gathered from medical images to aid in the construction of engineered tissues. MRI [57] and μCT [58] have been used to look at GAG concentration in cartilage, CT to look at bone density and trabecular architecture [59], second harmonic generation microscopy to look at collagen fibre orientation [60] and density [61]. Combining imaging data techniques with rapid prototyping could allow generation of anatomical structures in situ with region specific microstructure similar to that of native tissues.

Imaging tools and fabrication techniques have enhanced fabrication of engineered constructs, but on the list of tissue engineering goals this seems to be only the tip of the iceberg. How exactly does one go from a newly fabricated construct and produce engineered tissues ready for implantation? Even without considering shape fidelity, quality control for TE implants involves confirming that these tissues have the appropriate biochemical composition and mechanical function. For dynamically loaded tissues such as the heart valve or meniscus, complicated geometry often results in complicated mechanics. For years, medical imaging has been used to extract geometries of bones, muscles, and cartilage to develop constitutive models to better describe the inner workings of joints in the body through finite element modelling (FEM). Medical imaging combined with FEM will continue to play a major role in assessing the functionality and durability of engineered tissues. As new knowledge is acquired about in vivo behaviour through FEM simulations, engineered tissues can be specifically conditioned in vitro to withstand these stresses.

The idea of in vitro conditioning is becoming more and more popular not only for engineered tissues such as tendon [62], heart valve [63], bone [64] and cartilage [65], but for cadaveric explants as well [65, 66]. Exposure to limited in vivo like stimuli in a reduced or gradual manner has shown to be beneficial to cells and resulted in increased ECM formation as well as corresponding improvements in mechanical behaviour. Optimal in vitro conditioning settings have yet to be elucidated, but as it stands now the time scale for generating functional tissues is lengthy.

Nonetheless image-guided tissue engineering is still likely a very valuable tool for generating patient specific tissues and organs. Challenges still lie in the ability to integrate these techniques to engineer large volume tissues with micro-vasculature and generate proper ECM organization and alignment. These techniques in combination with in vitro conditioning will enable the generation of spatially complex and more functional tissues.

Acknowledgments

The authors would like to thank the following people and funding sources for their contributions to this work: Timothy M Wright, Suzanne A Maher, Hollis G Potter, Alfred P. Sloan Fellowship, MRRCC Core grant: AR046121 and Cornell University.

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