Mostafa Amin Naji, Postdoc
3D super resolution imaging
3D super resolution imaging
Mostafa Amin Naji received Ph.D. degree in super-resolution ultrasound imaging using the erythrocytes (SURE) at Technical University of Denmark, Lyngby, Denmark, in 2024. He received the B.Sc. and M.Sc. degrees in electrical and computer engineering–communication systems from the Babol Noshirvani University of Technology, Babol, Iran, in 2015 and 2018, respectively. His B.Sc. thesis titled “New Multi-Focus Image Fusion Methods in Discrete Cosine Transform” and the M.Sc. thesis titled “Image Fusion using Deep Learning.” He was awarded the 2019 Best Thesis Prize by the Iranian Society of Machine Vision and Image Processing (ISMVIP) for his M.Sc. thesis and the Outstanding B.Sc. Thesis Prize in the IEEE Iran Section Award for 2016 for the B.Sc. thesis.
PhD:
His Ph.D. thesis was about super-resolution ultrasound imaging using the erythrocytes (SURE). The SURE method uses erythrocytes as targets instead of fragile microbubbles (MBs). The abundance of erythrocyte scatterers makes it possible to acquire SURE data in just a few seconds compared to several minutes in ultrasound localization microscopy (ULM). A high number of scatterers can reduce the acquisition time, however, the tracking of uncorrelated and high-density scatterers is quite challenging. We hypothesize that erythrocytes (red blood cells) can be tracked in SURE to obtain vascular flow images and create velocity maps and profiles using a recursive nearest-neighbor tracker in recursive synthetic aperture ultrasound imaging. SURE images are acquired in just a few seconds, compared to minutes in ULM, without requiring any patient preparation or contrast injection to the bloodstream. For validation, we used a Field II simulated phantom, a 3-D printed hydrogel phantom, and a sprague-Dawley rat kidney. Moreover, a theoretical model for the underestimation of flow velocity in 2-D super-resolution ultrasound imaging is introduced and investigated using Field II simulations and 3D-printed hydrogel micro-flow phantom experiments.
Current research:
We successfully employed SURE to visualize the renal microvasculature in rat kidneys. In our current research, we are expanding this approach to human studies, specifically targeting lymph nodes. The application of SURE shows promise for diagnosing and monitoring diseases that affect the microvasculature of human lymph nodes, such as cancer.
PhD:
His Ph.D. thesis was about super-resolution ultrasound imaging using the erythrocytes (SURE). The SURE method uses erythrocytes as targets instead of fragile microbubbles (MBs). The abundance of erythrocyte scatterers makes it possible to acquire SURE data in just a few seconds compared to several minutes in ultrasound localization microscopy (ULM). A high number of scatterers can reduce the acquisition time, however, the tracking of uncorrelated and high-density scatterers is quite challenging. We hypothesize that erythrocytes (red blood cells) can be tracked in SURE to obtain vascular flow images and create velocity maps and profiles using a recursive nearest-neighbor tracker in recursive synthetic aperture ultrasound imaging. SURE images are acquired in just a few seconds, compared to minutes in ULM, without requiring any patient preparation or contrast injection to the bloodstream. For validation, we used a Field II simulated phantom, a 3-D printed hydrogel phantom, and a sprague-Dawley rat kidney. Moreover, a theoretical model for the underestimation of flow velocity in 2-D super-resolution ultrasound imaging is introduced and investigated using Field II simulations and 3D-printed hydrogel micro-flow phantom experiments.
Current research:
We successfully employed SURE to visualize the renal microvasculature in rat kidneys. In our current research, we are expanding this approach to human studies, specifically targeting lymph nodes. The application of SURE shows promise for diagnosing and monitoring diseases that affect the microvasculature of human lymph nodes, such as cancer.