Comparison of Three 3D Segmentation Software Tools for Hip Surgical Planning.
Marco MandoliniAgnese BrunziniGiulia FaccoAlida MazzoliArchimede ForcelleseAntonio GigantePublished in: Sensors (Basel, Switzerland) (2022)
In hip arthroplasty, preoperative planning is fundamental to reaching a successful surgery. Nowadays, several software tools for computed tomography (CT) image processing are available. However, research studies comparing segmentation tools for hip surgery planning for patients affected by osteoarthritic diseases or osteoporotic fractures are still lacking. The present work compares three different software from the geometric, dimensional, and usability perspectives to identify the best three-dimensional (3D) modelling tool for the reconstruction of pathological femoral heads. Syngo.via Frontier (by Siemens Healthcare) is a medical image reading and post-processing software that allows low-skilled operators to produce prototypes. Materialise (by Mimics) is a commercial medical modelling software. 3D Slicer (by slicer.org) is an open-source development platform used in medical and biomedical fields. The 3D models reconstructed starting from the in vivo CT images of the pathological femoral head are compared with the geometries obtained from the laser scan of the in vitro bony specimens. The results show that Mimics and 3D Slicer are better for dimensional and geometric accuracy in the 3D reconstruction, while syngo.via Frontier is the easiest to use in the hospital setting.
Keyphrases
- healthcare
- computed tomography
- deep learning
- dual energy
- convolutional neural network
- minimally invasive
- data analysis
- positron emission tomography
- contrast enhanced
- image quality
- end stage renal disease
- magnetic resonance imaging
- coronary artery bypass
- total hip arthroplasty
- ejection fraction
- newly diagnosed
- machine learning
- chronic kidney disease
- high throughput
- emergency department
- working memory
- peritoneal dialysis
- bone mineral density
- high resolution
- electronic health record
- pet ct
- adverse drug
- body composition
- drug induced
- ultrasound guided