Deep Vein Thrombosis (DVT) occurs when abnormal blood clots form in deep veins, often in the legs. This condition can lead to severe complications such as amputation or even death. DVT is especially common among older adults, pregnant women, individuals with obesity, cancer patients, and those recovering from surgery. In the United States, an estimated 900,000 DVT cases are reported annually. Early diagnosis and treatment are essential to preventing serious outcomes, making it a key area of focus in healthcare.
A recent study introduces a groundbreaking method to diagnose DVT using ultrasound-based volume reconstruction technology. The research developed a 3D reconstruction technique utilizing freehand ultrasound scanning combined with an optical tracking system. This approach uses deep learning-based segmentation to identify blood clots and measure their volume with high accuracy. Unlike traditional methods like X-ray angiography, which exposes patients to radiation, this new technique is safer. Additionally, multi-denoising filters were employed to improve the quality of ultrasound images, enhancing the precision of clot detection. The study was tested on real patient data and simulated datasets, achieving a sensitivity rate of 95.5% and an overall accuracy of 82.4%.
This innovation represents a significant leap in medical science and biomedical engineering. Ultrasound-based 3D reconstruction provides a safer, more affordable, and efficient diagnostic tool. In Indonesia, this technology has the potential to be widely used in healthcare facilities that lack access to advanced imaging systems like MRI or CT scans. It also paves the way for local innovation in developing AI-driven medical devices and enhances the ability of healthcare professionals to diagnose complex conditions such as DVT. With continued development and implementation, this technology could transform healthcare in Indonesia, offering high-quality services while fostering research and innovation in medical technology. This study is not only a breakthrough in DVT diagnosis but also a powerful example of how collaboration across disciplines can lead to better medical solutions.
Author: Johanes Nugroho Link: https://inass.org/wp-content/uploads/2024/08/2024123190-2.pdf
