Advanced Diagnostic & Interventional Radiology Research Center | reconstruction filters on ultrasound computed tomography image q

Advanced Diagnostic & Interventional Radiology Research Center | reconstruction filters on ultrasound computed tomography image q
| Jan 2 2026
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Advanced Diagnostic & Interventional Radiology Research Center

COVID-19 pandemic 

During the COVID-19 pandemic, the Radiology Research Center at Tehran University of Medical Sciences continued its research activities despite the challenges posed by the increased demand for CT scans of COVID-19 patients and the necessity of adhering to strict health protocols. This center played a crucial role in improving medical imaging techniques, optimizing diagnostic protocols, and advancing technologies related to CT scan image analysis.

Faculty members, researchers, and staff remained committed to ensuring the safety and well-being of healthcare professionals and patients while actively engaging in imaging data analysis, developing artificial intelligence algorithms for faster disease detection, publishing scientific articles, and presenting their findings at international conferences. These efforts aimed to enhance diagnostic accuracy, improve treatment processes, and alleviate pressure on healthcare systems.

 

Key achievements of the Radiology Research Center during the COVID-19 pandemic include:


✔️ Development and optimization of lung imaging protocols for faster and more accurate COVID-19 diagnosis
✔️ Implementation of artificial intelligence technologies for automated CT scan analysis and reduced diagnosis time
✔️ Publication of high-impact research articles on innovative imaging methods for COVID-19 patients
✔️ Participation in national and international projects focused on COVID-19 diagnosis and patient management

The center remains dedicated to advancing research in medical imaging and continues to contribute as a leading scientific institution in improving the quality of diagnostic and therapeutic services.

 

Some of the center's significant achievements during the pandemic include:

 

  • Release Date : Apr 3 2024 - 14:16
  • : 53
  • Study time : 1 minute(s)

Effect of reconstruction filters on ultrasound computed tomography image quality in two different detector arrangements: a preliminary simulation study

 reconstruction filters on ultrasound computed tomography image {faces}

Purpose: In soft tissues, tumors have generally different sound speeds than normal tissues, so that sound speed images could be used to characterize breast cancer and to study the tumor invasion process. Ultrasound Computed Tomography (UCT) has a great potential to provide quantitative estimations of physical properties of normal and abnormal tissues that provides accurate characterization capability for breast cancer. The goal of this study is a comparison of two different detector arrangement and image reconstruction filters on image quality parameters in fan-beam back projection method to introduce the modified arrangement and filter to achieve high-quality USCT images.
Materials and Methods: Two USCT systems with two different detector arrangement of the ultrasound array, ring-shape and parallel shape, have been simulated and Point Spread Function (PSF), Modulate Transform Function (MTF) and spatial resolution are three image quality parameters, have been investigated in both systems. In this study, a modified filter introduced that apply on the sinogram in two dimensions in spite of the Ram-Lak that apply on sinogram in one dimension.
Results: These study results show that the spatial resolution affected by not only detector arrangement but also reconstruction filters. In addition, applying the modified filter improves the resolution of the ring-shaped system and destroy the resolution of the line one and we have higher resolution in the modified filter than Ram-Lak.
Conclusion: The result suggests that to have high-resolution USCT images, the difference filters specially modified filter can be used and ring-shaped system has higher resolution images than line one.

  • Article_DOI :
  • Author(s) : razieh solgi,hossein ghadiri
  • News Group : research,research article
  • News Code : 278395
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