Focused Issue on Quantitative Imaging for Radiation Oncology

Posted On 2019-06-21 16:57:41

This focused issue on “Quantitative Imaging for Radiation Oncology” is edited by Dr. Jing Cai and Jing (Harry) Qin, from The Hong Kong Polytechnic University, Hong Kong, China; Lei Ren, from Department of Radiation Oncology, Duke University Medical Center, Durham, NC, USA.

Dr. Jing Cai is Associate Professor at The Hong Kong Polytechnic University. His research focuses on developing and assessing novel image-guided radiation therapy techniques. Topics includes, but not limited to, MRI-guided Radiation Therapy, Four-Dimensional Imaging and Radiation Therapy,
Stereotactic-Body Radiation Therapy, Radiomics, and Brachytherapy.

Dr. Lei Ren is Associate Professor of Radiation Oncology at Duke Cancer Institute. His research interests include imaging dose reduction using digital tomosynthesis (DTS), cone-beam CT (CBCT) scatter correction, novel DTS/CBCT image reconstruction methods using prior information and motion modeling, image guided radiation therapy (IGRT), deformable image registration, patient clinical objective QA methods, stereotactic radiosurgery (SRS) and stereotactic body radiation therapy (SBRT).    

Dr. Jing Qin’s research interests focusing on technological applications in healthcare and medicine, virtual and augmented reality, medical image processing, telemedicine and e-health, multi-sensory human-computer interactions, and computer graphics and visualization.

Focused issue outline:

  1. Delineation of changing GTV from longitudinal CTs during radiation therapy delivery based on a texture analysis with classifier algorithms: a proof-of-concept study
  2. Machine-learning Based Classification of Glioblastoma Using Delta-Radiomic Features Derived from Dynamic Susceptibility Contrast Enhanced MR Images
  3. Low dose CBCT reconstruction via hybrid prior contour based total variation regularization (hybrid-PCTV)
  4. Comparison of Three Undersampling Approaches in CT Reconstruction
  5. Shading Correction for Volumetric CT using Deep Convolutional Neural Network and Adaptive Filter
  6. A pilot study of highly accelerated 3D MRI in the head and neck position verification for MR-guided radiotherapy
  7. Exploring Correlation Information for Image Compression of Four-Dimensional Computed Tomography
  8. 4DCT-based Biomechanical measurements of pulmonary function and their correlation with clinical outcome for lung SBRT patients
  9. Early Prediction of Acute Xerostomia during Radiation Therapy for Nasopharyngeal Cancer Based on Delta Radiomics from CT images
  10. A fast volumetric 4D-MRI with sub-second frame rate for abdominal respiratory motion monitoring and characterization in MRI-guided-radiotherapy
  11. A Robust Deformable Image Registration Enhancement Method based on Radial Basis Function
  12. Preliminary study on the effect of 4DCT-ventilation-weighted dose on the radioactive pneumonia probability(RPP)
  13. Probability-based 3D k-space Sorting for Motion Robust 4D-MRI