Mahbubunnabi Tamal
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
Mahbubunnabi Tamal has a total of 5 co-authors. Here are the top co-authors by number of shared publications:
- Abdul-Hakeem Alomari
Biomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
1 shared publication - Khadiza Tun Suha
Tamal Research Group, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
1 shared publication - Maryam Alhashim
King Fahad Specialist Hospital Dammam, Saudi Arabia
1 shared publication - Murad Althobaiti
Biomedical Engineering Department, College of Engineering, Imam Abdulrahman Bin Faisal University, Dammam 31441, Saudi Arabia
1 shared publication - Sumaiya Tabassum Dipty
North South University
1 shared publication
Latest Publications
- Open Access
- 8 April 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (8) , 3790
Synchrotron X-ray Radiation (SXR) in Medical Imaging: Current Status and Future Prospects
Synchrotron X-ray radiation (SXR) has been widely studied to explore the structure of matter. Recently, there has been an intense focus on the medical application of SXR in imaging. This review is intended to explore the latest applications of SXR in medical imaging and to shed light on the advantages and drawbacks of this modality. The article highlights the latest developments in other fields that can greatly enhance the capability and applicability of SXR. The potentials of using machine and deep learning (DL)-based methods to generate synthetic images to use in regular clinics along with the use of photon counting X-ray detectors for spectral medical imaging with SXR are also discussed.
- 8 April 2022
- Published by MDPI AG in Applied Sciences
- Vol. 12 (8) , 3790
Open AccessSynchrotron X-ray Radiation (SXR) in Medical Imaging: Current Status and Future Prospects
Synchrotron X-ray radiation (SXR) has been widely studied to explore the structure of matter. Recently, there has been an intense focus on the medical application of SXR in imaging. This review is intended to explore the latest applications of SXR in medical imaging and to shed light on the advantages and drawbacks of this modality. The article highlights the latest developments in other fields that can greatly enhance the capability and applicability of SXR. The potentials of using machine and deep learning (DL)-based methods to generate synthetic images to use in regular clinics along with the use of photon counting X-ray detectors for spectral medical imaging with SXR are also discussed.