Anatomic motion and deformation modeling using digital twins (DTs) hold much promise for radiotherapy applications. However, clinical implementation is limited by availability of high-quality data, computationally intensive and unphysical anatomical simulatio...
Author profile
Kamal Singhrao, PhD
Department of Radiation Oncology, Dana-Farber Cancer Institute/Brigham and Women’s Hospital, Harvard Medical School
CT-based lung ventilation imaging can provide a functional assessment of tumor and normal tissue response to lung stereotactic body radiation therapy (SBRT). The speed of ventilation map generation hinders the clinical adoption of LVI for online adaptive SBRT...
To evaluate the clinical accuracy and utility of a commercial deep learning-based auto-segmentation tool by Siemens for delineating brain metastases (GTV) and organs-at-risk (OAR) on contrast-enhanced MRI.
The efficacy of stereotactic radiosurgery (SRS) and radiotherapy (SRT) for brain metastases is often compromised by tumor growth and soft tissue changes between simulation and treatment. To eliminate these latencies, we clinically implemented a novel same-day...
To evaluate the correlation between lung tumor and pulmonary vessel motion under MR-guided radiotherapy and to inform surrogate tracking feature selection when direct tumor tracking is challenging.