Kathan Nilesh Mehta

Papers

Total Citations

H-Index

About

Kathan Nilesh Mehta is a researcher advancing the field of interventional ultrasound imaging, with a primary focus on medical device tracking and image-guided interventions. His most notable contribution is a novel algorithm for ultrasound-based tracking of partially in-plane, curved needles, published in 2021. While many prior approaches assume needles appear as straight, bright lines in ultrasound images, Mehta’s work addresses the realistic scenario where needles bend due to interaction with heterogeneous tissue. By employing a weighted RANSAC curve-fitting technique, his method enables robust and accurate tracking of non-linear needle trajectories, significantly improving the reliability of ultrasound-guided needle insertions. This work has garnered 4 citations and represents an important step toward safer, more precise minimally invasive procedures. Mehta’s research sits at the intersection of computer vision, medical robotics, and interventional radiology, with potential applications in biopsies, regional anesthesia, and targeted drug delivery. His contributions are particularly valuable for students and researchers working on real-time tracking systems in challenging clinical environments, where tissue deformation and needle curvature pose persistent obstacles to conventional tracking methods.