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International Journal of Bioprinting                            Flexible 3D printing in cardiovascular medicine



































            Figure 4. Segmental renal artery bleeding after percutaneous nephrostomy. (A) Coronal projection of the preprocedural CT scan in arterial phase (white
            arrow: nephrostomy catheter; white arrow heads: affected segmental renal artery). (B) Flexible resin vascular model (black arrow heads: segmental artery;
            single star: right renal artery; double star: proper hepatic artery). Abbreviation: Ao, infrarenal aorta.

            planning of complex coronary artery disease; in that way,   1 mm or less, while Blender enables the post-processing of
            those involved would receive patient-specific training, gain   the STL file, which includes the generation of an artificial
            confidence in treating the disease, and possibly predict the   vessel wall. Furthermore, the slicing of the vascular model
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            complications that might occur . Moreover, in the field   to remove procedure-irrelevant arteries and the printing of
            of IR, various applications have been documented. For   objects larger than the 3D printer’s build volume are feasible
            instance, Shibata  et al. used 3D-printed models for pre-  with the use of Blender in combination with an ultraviolet
            interventional  planning  to  establish  optimal  treatment   light pen. The end-user 3D printer was thus able to print
            plans and improve the safety and efficacy of selective   such biological tissue mimicking vascular structures based
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            embolizations of visceral artery aneurysms .       on the patient’s imaging data (Videoclip S1).
               In addition to the continuously discovered applications   This workflow, using an open-source software,
            of additive manufacturing in the field of medicine, novel   has several technical limitations. The calcifications of
            3D printing materials with biological tissue mimicking   arteries can be difficult to remove from the segmented
            characteristics contribute to a more realistic setup of   vascular lumen. A threshold has to be defined to
            medical procedure simulations for hands-on trainings. In   remove such calcifications from the vascular walls
            preceding  studies,  we  have  already  proven  the  technical   caused  by  atherosclerosis.  Further  investigations  are
            accuracy of SLA 3D printing with the novel flexible and   needed to evaluate and determine an appropriate cut-
            transparent resin (Flexible 80A, Formlabs), as well as the   off in Hounsfield units for such non-luminal structures.
            simulation concept for emergency embolizations in a larger   The same problem exists for external tubes and other
            case series of acute internal bleedings 17,18 . In this technical   medical devices, which might run close to arteries
            follow-up study, we present our low-cost approach to   or cause blooming artifacts. In certain cases, non-
            segmentation and post-processing with a freely available   vascular structures have to be removed by overpainting
            open-source software in combination with an end-user 3D   them slice-by-slice, which can be time-consuming.
            printer, aiming to improve the availability and feasibility   Moreover, the segmentation of models requires not only
            of fabricating such patient-specific biological-tissue   profound technical skills of 3D printing, but also a deep
            mimicking vascular models. ImageJ in combination with   understanding of the anatomy, the underlying pathology,
            the presented macro and 3D Viewer plugin can be used for   and the corresponding therapy. Hence, the segmentation
            the segmentation of CTA data with slice thickness of at least   of such models should be performed or at least checked


            Volume 9 Issue 2 (2023)                        312                      https://doi.org/10.18063/ijb.v9i2.669
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