Background Three-dimensional (3D) visualization of computed tomography (CT) data is a hot topic in the field of medical imaging. The anatomical structure of the liver and spleen changes after trauma, so it is difficult to construct the relevant 3D visualization model, and there are few related studies.
Objective In this study, we designed an optimized remapping method based on multi-pixel value extraction to solve the problem that it is difficult to accurately construct the visualization model of hepatic and splenic rupture using the original algorithm.
Methods Abdominal contrast-enhanced CT data of 15 patients with hepatic and splenic rupture from January 2013 to November 2018 in the First Medical Center of Chinese PLA General Hospital were collected, and 9 males and 1 female were selected based on the factors such as injury classification and treatment status. We first constructed the volume rendering model for all CT DICOM data by multi-pixel value extraction, then divided the space, and finally performed DICOM data remapping and multi-layer interpolation for the volume rendering model to obtain the final visualization model.
Results The method was applied at the Faculty of Hepato-Pancreato-Biliary Surgery, the First Medical Center of Chinese PLA General Hospital, from August to September in 2020. It took 4.01-5.83 seconds to construct the model. This model was able to preserve CT data and clearly showed hepatic and splenic parenchymal laceration, hematoma, and intrahepatic vascular injury, which could assist surgeons in understanding the disease condition and planning the surgery.
Conclusion The constructed visualization model of hepatic and splenic rupture can be used in preoperative discussion, intraoperative guidance, and postoperative review, and the model data also have certain application value in surgical simulation and clinical teaching.
DownLoad: