Brazil

Synapse® 3D - Clinical Applications

NEW

The content on this page is intended to healthcare professionals and equivalents.

Clinical Applications

Synapse 3D applications are developed in collaboration with radiologists, cardiologists, surgeons, and other specialists to produce relevant clinical solutions that lead to exceptional patient care. Each multifaceted application is adeptly coded to quickly and accurately deliver imaging results that trigger confident healthcare decisions by changing the way healthcare providers see images.

  • The software uses award-winning*1 *2 Image Intelligence™ algorithms in the processing engines to yield confident results.
  • Peer-reviewed research has shown that patient safety, surgical confidence,*3 and surgical effectiveness*4 were all improved when using Synapse 3D.
  • There is a common UI, in which tools shared between analysis applications have the same appearance and function for consistency and ease of use.
  • Application linking creates additional efficiencies by allowing you to access up to five applications without exiting the others.
Clinical Specialties General Function
  • 1. Kirişli HA, et al., Standardized evaluation framework for evaluating coronary artery stenosis detection, stenosis quantification and lumen segmentation algorithms in computed tomography angiography, Medical Image Analysis, 2013.
  • 2. Lo P, van Ginneken B, Reinhardt JM, Tarunashree Y, de Jong PA, Irving B, Fetita C, Ortner M, Pinho R, Sijbers J, Feuerstein M, Fabijanska A, Bauer C, Beichel R, Mendoza CS, Wiemker R, Lee J, Reeves AP, Born S, Weinheimer O, van Rikxoort EM, Tschirren J, Mori K, Odry B, Naidich DP, Hartmann IJ, Hoffman EA, Prokop M, Pedersen JH, de Bruijne M. "Extraction of Airways from CT (EXACT’09)", in IEEE Transactions on Medical Imaging. 2012;31:2093-2107.
  • 3. Komai Y, Sakai Y, Gotohda N, Kobayashi T, Kawakami S, Saito N. A novel 3-dimensional image analysis system for case-specific kidney anatomy and surgical simulation to facilitate clampless partial nephrectomy. Urology. 2014;83(2):500-7.
  • 4. Abe Y, Itano O, Kitago M, Shinoda M, Yagi H, Hibi T, Takano K, Chiba N, Kawachi S, Shimazu M, Kitagawa Y. Computer assisted surgery, preoperative planning, and navigation for pancreatic cancer. Journal of Hepatobiliary Pancreatic Sciences. 2014;21(4):251-5.