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Taxonomy: IM- Cone Beam CT: Phantoms - digital
| MO-CD-TRACK 1-7 | A Generative Adversarial Network (GAN)-Based Technique for Synthesizing Realistic Respiratory Motion in the Extended Cardiac-Torso (XCAT) Phantoms Y Chang1*, Z Jiang2, K Lafata3, Z Zhang4, P Segars5, J Cai6, F Yin7, L Ren8, (1) Duke University, Durham, NC, (2) Duke Univeristy, Durham, NC, (3) Duke University, Durham, NC, (4) Duke Univeristy, Durham, NC, AF, (5) Duke Univ, Durham, NC, (6) Hong Kong Polytechnic University, Hong Kong, HK, CN, (7) Duke University, Durham, NC, (8) Duke University Medical Center, Cary, NC |
| PO-GeP-T-299 | Development of Patient Height-Specific 3D Age-Scaling Factors to Generate DICOM Computational Phantoms for Retrospective Late-Effects Studies A Gupta1,2*, C Owens1,2, S Shrestha1,2, S Smith1, R Weathers1, R Howell1,2, (1) Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA, (2) The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX, USA |
| PO-GeP-T-549 | Investigation On the Use of Our 3D Age-Scaling Functions (ASF) to Scale Whole-Body Regions to Any Arbitrary Age A Gupta1,2*, C Owens1,2, S Shrestha1,2, C Lee3, P Balter1, S Smith1, R Weathers1, S Kry1,2, D Followill1,2, J Long1,4, R Howell1,2, (1) Department of Radiation Physics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA, (2) The University of Texas Graduate School of Biomedical Sciences at Houston, Houston, TX, USA, (3) Division of Cancer Epidemiology and Genetics, National Cancer Institute, National Institute of Health, Bethesda, MD, USA, (4) Department of Biostatistics, The University of Texas MD Anderson Cancer Center, Houston, TX, USA, |
| SU-D-TRACK 1-5 | Development of Realistic Multi-Contrast Textured XCAT (MT-XCAT) Phantoms Using a Dual-Discriminator Conditional-Generative Adversarial Network (D-CGAN) Y Chang1*, K Lafata2, P Segars3, F Yin4, L Ren5, (1) Duke University, Durham, NC, (2) Duke University, Durham, NC, (3) Duke Univ, Durham, NC, (4) Duke University, Durham, NC, (5) Duke University Medical Center, Cary, NC |
| SU-E-TRACK 1-5 | Realistic Lesion Generation Using Generative Adversarial Networks and Radiomics Supervision S Pan*, J Stayman, C Lin, G Gang, Johns Hopkins University, Baltimore, MD |