Shih-Wei Huang

Title: Innovations of Shih-Wei Huang in Medical Imaging

Introduction

Shih-Wei Huang is an accomplished inventor based in Changhua County, Taiwan. He has made significant contributions to the field of medical imaging, particularly in the area of radiofrequency ablation. His innovative approach has the potential to enhance surgical procedures and improve patient outcomes.

Latest Patents

Huang holds a patent for a "Fusion-imaging method for radio frequency ablation." This method involves obtaining a preoperative volume image of an individual and reconstructing a virtual three-dimensional model of the target area. The process includes creating a global reference frame using a tracking device, registering the virtual model to this frame, and obtaining an ultrasound image of the target area. The ultrasound image is then registered to the global reference frame, allowing for the capture of a virtual corresponding image. Finally, the method overlaps the ultrasound image with the virtual corresponding image, displaying them alongside a virtual radiofrequency ablation probe model. This innovative technique aims to improve the precision and effectiveness of radiofrequency ablation procedures.

Career Highlights

Shih-Wei Huang is affiliated with Chang Bing Show Chwan Memorial Hospital, where he applies his expertise in medical imaging. His work focuses on developing advanced imaging techniques that can be utilized in various medical applications. Huang's dedication to innovation in healthcare has positioned him as a key figure in his field.

Collaborations

Huang collaborates with notable colleagues, including Atul Kumar and Yen-Yu Wang, who contribute to his research and development efforts. Their combined expertise fosters a collaborative environment that enhances the quality and impact of their work.

Conclusion

Shih-Wei Huang's contributions to the field of medical imaging, particularly through his patented fusion-imaging method, demonstrate his commitment to advancing healthcare technology. His work has the potential to significantly improve surgical procedures and patient care.