Chenliang Tang

Papers

Total Citations

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About

Chenliang Tang is a researcher whose work centers on advancing medical imaging and interventional guidance, with a particular focus on ultrasound-guided prostate therapy. His key contributions lie in developing algorithms that overcome the significant challenge of real-time needle tracking in noisy, artifact-laden ultrasound environments. His most cited paper, "A Real-time Needle Tracking Algorithm with First-frame Linear Structure Removing in 2D Ultrasound-guided Prostate Therapy" (2019), presents a novel method that addresses the persistent issue of speckle artifacts and the complexity of prostate tissue. By introducing a first-frame linear structure removal technique, Tang’s algorithm enables more reliable and rapid localization of the needle tip, a critical step for improving the accuracy and safety of percutaneous interventions. While his citation count is currently modest, his work represents a focused and practical contribution to a difficult clinical problem, demonstrating a clear understanding of both the technical and procedural demands of real-time image guidance. Tang’s research is particularly relevant for students and engineers working at the intersection of computer vision, medical robotics, and point-of-care ultrasound, offering a targeted solution that could enhance outcomes in prostate biopsy and brachytherapy.