Objective: In US-guided liver tumor ablations, tumor identification remains challenging in some scenarios, such as similar acoustic characteristics between the tumor and surrounding tissue, irregular tumor locations (e.g., high liver dome), and tumor mimics (e.g., cirrhotic regenerative nodules, prior ablation sites). While multimodal registration techniques have been extensively studied to address these limitations, they have not yet become a standard clinical component due to the high complexity and computational demands. Therefore, this work aims to develop a clinically feasible 2D US-CT/MRI registration approach to reduce inter-physician variability in interpreting structural details, thereby facilitating applicator guidance during procedures.
Objective: Complete tumor coverage by the thermal ablation zone and with a safety margin (5 or 10 mm) is required to achieve the entire tumor eradication in liver tumor ablation procedures. However, 2D ultrasound (US) imaging has limitations in evaluating the tumor coverage by imaging only one or multiple planes, particularly for cases with multiple inserted applicators or irregular tumor shapes. In this paper, we evaluate the intra-procedural tumor coverage using 3D US imaging and investigate whether it can provide clinically needed information. Our proposed method can evaluate the intra-procedural tumor coverage and intuitively provide applicator adjustment information for the physician. Our 3D US-based method is compatible with the constraints of conventional US-guided ablation procedures and can be easily integrated into the clinical workflow.
Objective: In US-guided percutaneous thermal ablation, to eradicate the entire cancerous cells, accurately inserting the needle (i.e., ablation applicator) into the tumour as planned is a crucial step during real-time US guidance. However, due to complex US artifacts and image contrast between the needle and adjacent tissues, identifying the needle, particularly the needle tip, has been considered as a difficult problem. Therefore, our work aims to develop a deep learning-based approach using acquired sequential US frames for real-time needle identification.
In collaboration with Northern Digital Inc. (NDI), I contributed to pioneering the integration of magnetic tracking into fluoroscopy-guided interventions.
Objective: The 2D projective nature of X-ray radiography presents significant limitations in fluoroscopy-guided interventions, particularly the loss of depth perception and prolonged radiation exposure. Integrating magnetic trackers into these workflows is promising; however, it remains challenging and under-explored in current research and practice. To address this, we employed a radiolucent magnetic field generator (FG) prototype as a foundational step towards seamless magnetic tracking (MT) integration. A two-layer FG mounting frame was designed for compatibility with various C-arm X-ray systems, ensuring smooth installation and optimal tracking accuracy. To overcome technical challenges, including accurate C-arm pose estimation, robust fluoro-CT registration, and 3D navigation, we proposed the incorporation of external aluminum fiducials without disrupting conventional workflows. Overall, our results demonstrated the efficacy and clinical applicability of the MT-assisted approach. To the best of our knowledge, this is the first study to integrate a radiolucent FG into a fluoroscopy-guided workflow.
Objective: In conventional fluoroscopy-guided interventions, the 2D projective nature of X-ray imaging limits depth perception and leads to prolonged radiation exposure. Virtual fluoroscopy, combined with spatially tracked surgical instruments, is a promising strategy to mitigate these limitations. While magnetic tracking shows unique advantages, particularly in tracking flexible instruments, it remains under-explored due to interference from ferromagnetic materials in the C-arm room. This work proposes a virtual fluoroscopy workflow by effectively integrating magnetic tracking, and demonstrates its clinical efficacy.