Automatic Registration and Error Color Maps to Improve Accuracy for Navigated Bone Tumor Surgery Using Intraoperative Cone-Beam CT.
Axel SahovalerMichael J DalyHarley H L ChanPrakash R NayakSharon TzelnickMichelle ArkhangorodskyJimmy QiuRobert WeersinkJonathan C IrishPeter FergusonJay S WunderPublished in: JB & JS open access (2022)
This proof-of-principle study validated a novel process for automatic registration to improve the accuracy of resecting bone tumors using a surgical navigation system.
Keyphrases
- cone beam
- bone mineral density
- deep learning
- minimally invasive
- machine learning
- soft tissue
- computed tomography
- bone loss
- bone regeneration
- postmenopausal women
- contrast enhanced
- dual energy
- magnetic resonance imaging
- neural network
- body composition
- surgical site infection
- coronary artery disease
- acute coronary syndrome
- pet ct