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2024

Journal Article

Radio-opaque contrast agents for liver cancer targeting with KIM during radiation therapy (ROCK-RT): an observational feasibility study

Plant, Natalie, Mylonas, Adam, Sengupta, Chandrima, Nguyen, Doan Trang, Silvester, Shona, Pryor, David, Greer, Peter, Lee, Yoo Young, Ramachandran, Prabhakar, Seshadri, Venkatakrishnan, Trada, Yuvnik, Khor, Richard, Wang, Tim, Hardcastle, Nicholas and Keall, Paul (2024). Radio-opaque contrast agents for liver cancer targeting with KIM during radiation therapy (ROCK-RT): an observational feasibility study. Radiation Oncology, 19 (1) 139, 1. doi: 10.1186/s13014-024-02524-4

Radio-opaque contrast agents for liver cancer targeting with KIM during radiation therapy (ROCK-RT): an observational feasibility study

2024

Journal Article

A cost-effective breath-hold coaching camera system for patients undergoing external beam radiotherapy

Mehta, Akash, Horgan, Emma, Ramachandran, Prabhakar and Noble, Christopher (2024). A cost-effective breath-hold coaching camera system for patients undergoing external beam radiotherapy. Journal of Medical Physics, 49 (4), 502-509. doi: 10.4103/jmp.jmp_101_24

A cost-effective breath-hold coaching camera system for patients undergoing external beam radiotherapy

2024

Journal Article

Utility of 68Ga-DOTATATE PET-MRI for Gamma Knife® stereotactic radiosurgery treatment planning for meningioma

Ratnayake, Gishan, Huo, Michael, Mehta, Akash, Ramachandran, Prabhakar, Pinkham, Mark B., Law, Phillip, Watkins, Trevor, Olson, Sarah, Hall, Bruce, Brown, Simon, Lusk, Ryan, Jones, Catherine, O’Mahoney, Eoin, McGill, George and Foote, Matthew C. (2024). Utility of 68Ga-DOTATATE PET-MRI for Gamma Knife® stereotactic radiosurgery treatment planning for meningioma. British Journal of Radiology, 97 (1153), 180-185. doi: 10.1093/bjr/tqad026

Utility of 68Ga-DOTATATE PET-MRI for Gamma Knife® stereotactic radiosurgery treatment planning for meningioma

2024

Journal Article

The first clinical implementation of real-time 6 degree-of-freedom image-guided radiotherapy for liver SABR patients

Sengupta, Chandrima, Trang Nguyen, Doan, Moodie, Trevor, Mason, Daniel, Luo, Jianjie, Causer, Trent, Fan Liu, Sau, Brown, Elizabeth, Inskip, Lauren, Hazem, Maryam, Chao, Menglei, Wang, Tim, Lee, Yoo Y, van Gysen, Kirsten, Sullivan, Emma, Cosgriff, Eireann, Ramachandran, Prabhakar, Poulsen, Per, Booth, Jeremy, O'Brien, Ricky, Greer, Peter and Keall, Paul (2024). The first clinical implementation of real-time 6 degree-of-freedom image-guided radiotherapy for liver SABR patients. Radiotherapy and Oncology, 190 110031, 110031-190. doi: 10.1016/j.radonc.2023.110031

The first clinical implementation of real-time 6 degree-of-freedom image-guided radiotherapy for liver SABR patients

2023

Journal Article

Design and development of a low-cost integrated dosimeter for external beam dosimetry in radiation oncology

Chant, Tim and Ramachandran, Prabhakar (2023). Design and development of a low-cost integrated dosimeter for external beam dosimetry in radiation oncology. Journal of Medical Physics, 48 (4), 392-397. doi: 10.4103/jmp.jmp_107_23

Design and development of a low-cost integrated dosimeter for external beam dosimetry in radiation oncology

2023

Journal Article

Generating missing patient anatomy from partially acquired cone-beam computed tomography images using deep learning: a proof of concept

Shields, Benjamin and Ramachandran, Prabhakar (2023). Generating missing patient anatomy from partially acquired cone-beam computed tomography images using deep learning: a proof of concept. Physical and Engineering Sciences in Medicine, 46 (3), 1321-1330. doi: 10.1007/s13246-023-01302-y

Generating missing patient anatomy from partially acquired cone-beam computed tomography images using deep learning: a proof of concept

2023

Journal Article

Auto-segmentation of thoracic organs in CT scans of breast cancer patients using a 3D U-Net cascaded into PatchGANs

Colbert, Zachery Morton and Ramachandran, Prabhakar (2023). Auto-segmentation of thoracic organs in CT scans of breast cancer patients using a 3D U-Net cascaded into PatchGANs. Biomedical Physics and Engineering Express, 9 (5) 055011. doi: 10.1088/2057-1976/ace631

Auto-segmentation of thoracic organs in CT scans of breast cancer patients using a 3D U-Net cascaded into PatchGANs

2023

Journal Article

Assessment of optimizers and their performance in autosegmenting lung tumors

Ramachandran, Prabhakar, Eswarlal, Tamma, Lehman, Margot and Colbert, Zachery (2023). Assessment of optimizers and their performance in autosegmenting lung tumors. Journal of Medical Physics, 48 (2), 129-135. doi: 10.4103/jmp.jmp_54_23

Assessment of optimizers and their performance in autosegmenting lung tumors

2023

Journal Article

Repurposing traditional U-Net predictions for sparse SAM prompting in medical image segmentation

Colbert, Zachery Morton, Arrington, Daniel, Foote, Matthew, Gårding, Jonas, Fay, Dominik, Huo, Michael, Pinkham, Mark and Ramachandran, Prabhakar (2023). Repurposing traditional U-Net predictions for sparse SAM prompting in medical image segmentation. Biomedical Physics and Engineering Express, 10 (2) 025004, 1-10. doi: 10.1088/2057-1976/ad17a7

Repurposing traditional U-Net predictions for sparse SAM prompting in medical image segmentation

2023

Journal Article

Investigation of computed tomography numbers on multiple imaging systems using single and multislice methods

Ramachandran, Prabhakar, Mehta, Akash, Arrington, Daniel, Motley, Ryan, Seshadri, Venkatakrishnan, Anderson, Darcie, Lehman, Margot and Perrett, Ben (2023). Investigation of computed tomography numbers on multiple imaging systems using single and multislice methods. Journal of Medical Physics, 48 (1) 26, 1-12. doi: 10.4103/jmp.jmp_3_23

Investigation of computed tomography numbers on multiple imaging systems using single and multislice methods

2023

Journal Article

Autosegmentation of lung computed tomography datasets using deep learning U-Net architecture

Mehta, Akash, Lehman, Margot and Ramachandran, Prabhakar (2023). Autosegmentation of lung computed tomography datasets using deep learning U-Net architecture. Journal of Cancer Research and Therapeutics, 19 (2), 289-298. doi: 10.4103/jcrt.jcrt_119_21

Autosegmentation of lung computed tomography datasets using deep learning U-Net architecture

2022

Journal Article

Autosegmentation of brain metastases using 3D FCNN models and methods to manage GPU memory limitations

Bognar, Joshua and Ramachandran, Prabhakar (2022). Autosegmentation of brain metastases using 3D FCNN models and methods to manage GPU memory limitations. Biomedical Physics and Engineering Express, 8 (6) 065027, 1-13. doi: 10.1088/2057-1976/ac9b5b

Autosegmentation of brain metastases using 3D FCNN models and methods to manage GPU memory limitations

2022

Journal Article

A framework for exactrac dynamic commissioning for stereotactic radiosurgery and stereotactic ablative radiotherapy

Ramachandran, Prabhakar, Perrett, Ben, Ukath, Jaysree, Horgan, Emma and Noble, Chris (2022). A framework for exactrac dynamic commissioning for stereotactic radiosurgery and stereotactic ablative radiotherapy. Journal of Medical Physics, 47 (4), 398-408. doi: 10.4103/jmp.jmp_67_22

A framework for exactrac dynamic commissioning for stereotactic radiosurgery and stereotactic ablative radiotherapy

2022

Journal Article

A direct comparison of the optically stimulated luminescent properties of BeO and Al2O3 for clinical in-vivo dosimetry

Broadhead, Benjamin, Noble, Christopher and Ramachandran, Prabhakar (2022). A direct comparison of the optically stimulated luminescent properties of BeO and Al2O3 for clinical in-vivo dosimetry. Physical and Engineering Sciences in Medicine, 45 (3), 859-866. doi: 10.1007/s13246-022-01155-x

A direct comparison of the optically stimulated luminescent properties of BeO and Al2O3 for clinical in-vivo dosimetry

2022

Journal Article

Comparison and validation of multiple detectors against monte carlo simulation for the use of small-field dosimetry

Ramachandran, Prabhakar, Parveen, Nazia, Seshadri, Venkatakrishnan, Perrett, Ben and Fielding, Andrew (2022). Comparison and validation of multiple detectors against monte carlo simulation for the use of small-field dosimetry. Journal of Medical Physics, 47 (3), 235-242. doi: 10.4103/jmp.jmp_35_22

Comparison and validation of multiple detectors against monte carlo simulation for the use of small-field dosimetry

2022

Journal Article

A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patients

Motley, Ryan, Fielding, Andrew L and Ramachandran, Prabhakar (2022). A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patients. Biomedical Physics and Engineering Express, 8 (3) 035009. doi: 10.1088/2057-1976/ac34da

A feasibility study on the development and use of a deep learning model to automate real-time monitoring of tumor position and assessment of interfraction fiducial marker migration in prostate radiotherapy patients

2021

Journal Article

Automatic detection and tracking of marker seeds implanted in prostate cancer patients using a deep learning algorithm

Amarsee, Keya, Ramachandran, Prabhakar, Fielding, Andrew, Lehman, Margot, Noble, Christopher, Perrett, Ben and Ning, Daryl (2021). Automatic detection and tracking of marker seeds implanted in prostate cancer patients using a deep learning algorithm. Journal of Medical Physics, 46 (2), 80-87. doi: 10.4103/jmp.JMP_117_20

Automatic detection and tracking of marker seeds implanted in prostate cancer patients using a deep learning algorithm

2021

Journal Article

Use of GammaPlan convolution algorithm for dose calculation on CT and cone-beam CT images

Ramachandran, Prabhakar, Perrett, Ben, Dancewicz, Orrie, Seshadri, Venkatakrishnan, Jones, Catherine, Mehta, Akash and Foote, Matthew (2021). Use of GammaPlan convolution algorithm for dose calculation on CT and cone-beam CT images. Radiation Oncology Journal, 39 (2), 129-138. doi: 10.3857/roj.2020.00640

Use of GammaPlan convolution algorithm for dose calculation on CT and cone-beam CT images

2021

Journal Article

Contralateral breast dose with electronic compensators and conventional tangential fields - A clinical dosimetric study

Ramachandran, Prabhakar, Smith, Amanda, Hagekyriakou, Jim, Hughes, Jeremy, Lonski, Peta, Howard, Beth, Osbourne, Glen, Orr, Kylie, Kaur, Ravneet and Kron, Tomas (2021). Contralateral breast dose with electronic compensators and conventional tangential fields - A clinical dosimetric study. Zeitschrift fur medizinische Physik, 31 (4), 347-354. doi: 10.1016/j.zemedi.2021.04.003

Contralateral breast dose with electronic compensators and conventional tangential fields - A clinical dosimetric study

2021

Journal Article

A 3D printed phantom to assess MRI geometric distortion

Ramachandran, Prabhakar, Noble, Christopher, Langton, Christian, Perrett, Ben, Cox, Joshua, Chapman, Mike and McGill, George (2021). A 3D printed phantom to assess MRI geometric distortion. Biomedical Physics and Engineering Express, 7 (3) 035004, 035004. doi: 10.1088/2057-1976/abeb7e

A 3D printed phantom to assess MRI geometric distortion