Assessment of DICOM Viewers Capable of Loading Patient-specific 3D Models Obtained by Different Segmentation Platforms in the Operating Room.
Patient-specific 3D models obtained by the segmentation of volumetric diagnostic images play an increasingly important role in surgical planning. Surgeons use the virtual models reconstructed through segmentation to plan challenging surgeries. Many solutions exist for the different anatomical districts and surgical interventions. The possibility to bring the 3D virtual reconstructions with native radiological images in the operating room is essential for fostering the use of intraoperative planning. To the best of our knowledge, current DICOM viewers are not able to simultaneously connect to the picture archiving and communication system (PACS) and import 3D models generated by external platforms to allow a straight integration in the operating room. A total of 26 DICOM viewers were evaluated: 22 open source and four commercial. Two DICOM viewers can connect to PACS and import segmentations achieved by other applications: Synapse 3D® by Fujifilm and OsiriX by University of Geneva. We developed a software network that converts diffuse visual tool kit (VTK) format 3D model segmentations, obtained by any software platform, to a DICOM format that can be displayed using OsiriX or Synapse 3D. Both OsiriX and Synapse 3D were suitable for our purposes and had comparable performance. Although Synapse 3D loads native images and segmentations faster, the main benefits of OsiriX are its user-friendly loading of elaborated images and it being both free of charge and open source.
EndoCAS Center, Cisanello Hospital, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy. giuseppe.lopresti@endocas.org.|Scuola Superiore S'Anna di Studi Universitari e Perfezionamento, Pisa, Italy. giuseppe.lopresti@endocas.org.
Giuseppe
G
Lo Presti
EndoCAS Center, Cisanello Hospital, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
Marina
M
Carbone
Faculty of Medicine and Surgery, Università Politecnica delle Marche, Ancona, Italy.
Damiano
D
Ciriaci
Faculty of Medicine and Surgery, Università Politecnica delle Marche, Ancona, Italy.
Daniele
D
Aramini
EndoCAS Center, Cisanello Hospital, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.
Mauro
M
Ferrari
EndoCAS Center, Cisanello Hospital, University of Pisa, Via Paradisa 2, 56124, Pisa, Italy.|Department of Information Engineering, University of Pisa, Pisa, Italy.
Vincenzo
V
Ferrari
D006801:Humans; D007091:Image Processing, Computer-Assisted; D021621:Imaging, Three-Dimensional; D008954:Models, Biological; D009873:Operating Rooms; D011873:Radiology Information Systems / Q000295:instrumentation*; D012984:Software; D014057:Tomography, X-Ray Computed
3D imaging (imaging three-dimensional); 3D segmentation; Digital Imaging and Communications in Medicine (DICOM); PACS