3D printing has increasingly been used in nuclear medicine predominantly for manufacturing organ structures for dosimetry and image quality optimisation, with driving factors relating to costs, accessibility, lack of variety and versatility. Alssabbagh et al [1] have demonstrated the use of 3D Printed (3DP) thyroid phantoms for optimisation of image quality to address the lack of realistic thyroid phantoms as early proof of concept. Single compartment kidney phantoms have been fabricated for assessing accuracy of quantitation for dosimetry by Tran-Gia et al [2] addressing the lack of anatomical variety of commercially available kidney phantoms. Cardiac phantoms have been developed by many groups to address the costs and impracticalities of current commercially available phantoms [3] and to create myocardial left ventricle phantoms with a variety of defects to assess image quality for different pathology-mimicking scenarios [4]. A moving 3D printed liver phantom was designed to characterise the effect of liver motion and impact on defect detection in myocardial perfusion imaging at various liver-to-myocardial proximities [5].
3D printing has the potential to be used for standard quality control (QC) tests, in addition to dosimetry and image quality optimisation. As with anatomical phantoms, commercial QC equipment may not be universally or financially accessible. With decreasing costs of 3D printing equipment, offerings of small-scale commercial 3D printing services are growing in cities, libraries, community makerspaces, and tertiary educational institutions [6–12]. Consequently, a nuclear medicine imaging site may be able to model and print QC equipment for tests that would otherwise not be performed due to lack of access to equipment.
Across positron emission tomography (PET) and gamma cameras, hollow spheres are key pieces of equipment for quality assurance (QA). These are used for various core qualitative and quantitative system performance and image quality tests. Ideally, QA of quantitative imaging should also entail monitoring the activity concentration recovery of the hollow spheres.
3D printing hollow spheres may be a solution where a site may not possess or have access to a hollow sphere set. The most affordable and available form of small-scale 3D printing is typically fused filament fabrication (FFF) – which may also be referred to as fused deposition modelling – usually using plastic filament.
Nuclear medicine QC equipment that contains liquid or that is submerged under water is typically made from plastic that has been moulded solid and uniform without air gaps (injection moulding). An issue of 3D printing NM equipment is the potential for minute air gaps due to the manufacturing nature of FFF. In the printing process, lines of plastic filament are extruded from a nozzle and deposited in the x-y axis, layer by layer. Objects can be printed solid (100% infill) or some percentage hollow (< 100% infill). Depending upon the geometry of the object, printer nozzle size and overall printing parameters, small air gaps may still occur when 100% infill is specified. Small air gaps in the walls of a 3DP hollow sphere may potentially pose an issue for attenuation correction hence impacting accuracy of reconstruction. This may be exaggerated if 3DP hollow spheres are used for QC monitoring of the Siemens quantitative reconstruction algorithm xSPECT Bone (xBone) [13].
The xBone algorithm is a Siemens-specific acquisition and reconstruction methodology used for quantitative SPECT/CT of bone scans [14, 15]. Accuracy has been assessed [16] to be consistent with evaluations conducted by Siemens [17, 18], with some depth dependency [19] and for various phantoms configurations [20, 21]. The xBone algorithm is designed such that SPECT reconstruction is informed by taking the CT as the frame of reference for SPECT reconstruction. In addition to an attenuation map, the CT is also used to generate a ‘zone’ map that delineates five groups of material based on CT number (HU): air and lung, cortical bone, soft bone, adipose tissue, and soft tissue. These groups define five material-specific zones for SPECT reconstructions for the purpose of achieving greater spatial resolution and decreasing partial volume effects as a way to enable quantitative reconstruction [13].
The majority of 3DP research in nuclear medicine has been centred on the FFF printing modality, using thermoplastic filament materials such as polylactic acid (PLA), polyethylene terephthalate glycol (PETG) and acrylonitrile butadiene styrene (ABS) as they are commonly available and for their low cost.
Using the FFF modality, air gaps that may be present in the walls of the hollow sphere between each extruded line of filament. This may be bypassed through an alternative modality of printing called stereolithography where objects are made from liquid resin. One method of inexpensive stereolithography is masked stereolithography (mSLA), where there is a UV LED screen which lights up a cross-section of the object to only cure the pool of resin which is to form the object such that each whole layer is cured simultaneously.
The aims of this study were to:
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Compare the fabrication of hollow spheres using PLA and PETG via the FFF modality and resin via mSLA modality in terms of reproducibility, cost, transparency to water, watertightness, labour intensiveness in its preparation and use;
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Assess its impact on quantitative accuracy for activity recovery as it pertains to xBone; and
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Determine the more suitable material for 3D printing for QC of xBone.