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Influence of sampling accuracy on augmented reality for laparoscopic image-guided surgery.

Andrea TeatiniJavier Pérez de FrutosBenjamin EiglEgidijus PelanisDavit L AghayanMarco LaiRahul Prasanna KumarRafael PalomarBjørn EdwinOle Jakob Elle
Published in: Minimally invasive therapy & allied technologies : MITAT : official journal of the Society for Minimally Invasive Therapy (2020)
AR showed an increase in both TRE and FRE throughout the experimental studies, proving that AR is not robust to the sampling accuracy of the targets used to compute image-to-patient registration. Moreover, an influence of the size of the volume to be register was observed. Hence, it is advisable to reduce both errors due to annotations and the size of registration volumes, which can cause large errors in AR systems.
Keyphrases
  • minimally invasive
  • patient safety
  • adverse drug
  • deep learning
  • case report
  • robot assisted
  • virtual reality
  • emergency department
  • acute coronary syndrome
  • machine learning
  • atrial fibrillation