4D Ultrasound Tracking of Liver and its Verification for TIPS Guidance
IEEE Transactions on Medical Imaging , Volume 35 - Issue 1 p. 52- 62
In this work we describe a 4D registration method for on the fly stabilization of ultrasound volumes for improving image guidance for transjugular intrahepatic portosystemic shunt (TIPS) interventions. The purpose of the method is to enable a continuous visualization of the relevant anatomical planes (determined in a planning stage) in a free breathing patient during the intervention. This requires registration of the planning information to the interventional images, which is achieved in two steps. In the first step tracking is performed across the streaming input. An approximate transformation between the reference image and the incoming image is estimated by composing the intermediate transformations obtained from the tracking. In the second step a subsequent registration is performed between the reference image and the approximately transformed incoming image to account for the accumulation of error. The two step approach helps in reducing the search range and is robust under rotation. We additionally present an approach to initialize and verify the registration. Verification is required when the reference image (containing planning information) is acquired in the past and is not part of the (interventional) 4D ultrasound sequence. The verification score will help in invalidating the registration outcome, for instance, in the case of insufficient overlap or information between the registering images due to probe motion or loss of contact, respectively. We evaluate the method over thirteen 4D US sequences acquired from eight subjects. A graphics processing unit implementation runs the 4D tracking at 9 Hz with a mean registration error of 1.7 mm.
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|IEEE Transactions on Medical Imaging|
|Organisation||Department of Radiology|
Banerjee, J, Klink, C, Niessen, W.J, Moelker, A, & van Walsum, T.W. (2015). 4D Ultrasound Tracking of Liver and its Verification for TIPS Guidance. IEEE Transactions on Medical Imaging, 35(1), 52–62. doi:10.1109/TMI.2015.2454056