Publications by authors named "Tom Dowrick"
Article Synopsis
- Augmented reality in laparoscopic liver surgery helps surgeons pinpoint tumors and vessels by overlaying them onto live images, using preoperative 3D models from imaging data.
- The Preoperative-to-Intraoperative Laparoscopic Fusion challenge (P2ILF) at the MICCAI 2022 conference aimed to automate the detection of anatomical landmarks to improve this overlaying process, addressing time-consuming manual errors.
- Six teams from four countries participated, focusing on deep learning for landmark segmentation and differentiable rendering for image registration, achieving varying success in segmenting 2D and 3D landmarks during the challenge.
Understanding the relationship between fiducial registration error (FRE) and target registration error (TRE) is important for the correct use of interventional guidance systems. Whilst it is well established that TRE is statistically independent of FRE, system users still struggle against the intuitive assumption that a low FRE indicates a low TRE. We present the SciKit-Surgery Fiducial Registration Educational Demonstrator and describe its use.
View Article and Find Full Text PDFObjective: Methods have previously been reported for simultaneous EIT and EEG recording, but these have relied on post-hoc signal processing to remove switching artefacts from the EEG signal and require dedicated hardware filters and the use of separate EEG and EIT electrodes. This work aims to demonstrate that an uncorrupted EEG signal can be collected simultaneously with EIT data by using frequency division multiplexing (FDM), and to show that the EIT data provides useful information when compared to EEG source localisation.
Approach: A custom FDM EIT current source was created and evaluated in resistor phantom and neonatal head tank experiments, where a static and dynamic perturbation was imaged.