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The aim of this study is to use image-processing techniques developed in thefield of astrophysics as inspiration for a novel approach to thethree-dimensional (3D) imaging of periprocedural medical data, with theintention of providing improved visualisation of patient-specific heartstructure and thereby allowing for an improved quality of procedural planningwith regards to individualized cardiovascular healthcare. Using anonymizedpatient DICOM data for a cardiac computed tomography (CT) angiography,two-dimensional slices of the patient's heart were processed using a series ofsoftware packages in order to produce an accurate 3D representation of thepatient's heart tissue as a computer-generated stereolithography (STL) file,followed by the creation of a tactile 3D printout. We find that the modelsproduced provide clear definition of heart structure, in particular in the leftatrium, left ventricle and aorta. This level of clarity also allows for theaortic valve to be observed and 3D printed. This study provides a step-by-stepblueprint of how this can be achieved using open source software, specificallySlicer 4.8.1, MeshLab and AutoDesk Netfabb. In addition, the implementation ofastrophysical image-processing techniques shows an improvement in modelling ofthe heart based on the CT data, in particular in the case of small-scalefeatures where echocardiography has previously been required for more reliableresults.

journal of medical imaging and health informatics

Improved Visualisation of Patient-Specific Heart Structure Using  Three-Dimensional Printing Coupled with Image-Processing Techniques Inspired  by Astrophysical Methods