2018 Workshop Session

Short Bio/Description:

Driven by his passion for science, Delmar Arzabal specialized in applied physics. This was further honed by his experience as a teacher at the La Salle Green Hills, and extensive training at the Philippines Nuclear Research Institute. He pursued and graduated Master of Science in Applied Physics major in Medical Physics from the University of Santo Thomas, and wrote his thesis about Phantom and Clinical Evaluation of Combined Image Reconstruction Parameter of Philips Gemini TF 64 PET/CT Imaging System, as a recipient of the scholarship of the Department of Science and Technology. He has presented his work and research findings to various conferences both local and international.

He is currently the Radiation Oncology Medical Physicist of the Perpetual Help Medical Center – Biñan, mainly in charge of the radiation therapy treatment plans and quality assurance of the linear accelerator.


“Medical Imaging in Radiation Oncology and Beyond”


Modern medical diagnosis and treatment heavily rely on the imaging modality. In the field of medical physics, different imaging modalities, particularly those that utilize electromagnetic waves, are thoroughly studied. X-rays are commonly used and its applications vary extensively based on the complexity of the target volume to give 2D and 3D images. 3-dimensional images are easily rendered using Computed Tomography (CT) scan. The data of which can be integrated with Positron Emission Tomography (PET) and Single-Photon Emission Computed Tomography (SPECT) for better tumor localization and cancer prognosis.

Advancements in radiotherapy allow the medical physicists to target and treat the tumor volume more accurately. However, contouring the actual body part still highly depends on the image quality. Various image quality enhancements can be done through the modification virtual and physical parameters of data acquisition. Image reconstruction can be analytic or iterative. Both methods utilize algorithms, commonly the Fourier Transform in 1 and 2 dimensions. Mathematical computation and strategic estimation have considerable effects on the reconstructed image.

The CT information can be further differentiated to isolate a chosen part and to export data for 3D printing.  This permits customized treatment accessories which can improve radiation dose delivery to patients. The utilization of the image data to 3D print a treatment accessory or replicate an anatomical part is not only useful for radiation oncology, but extends to biomedical engineering and other allied sciences.



Delmar R. Arzabal, MSc

Radiation Oncology Medical Physicist



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Abstract/ Full Paper Submission Deadline

January 10, 2019

Notification of Acceptance 
From January 30, 2019

Early Bird Registration & Payment Deadline 

February 20, 2019

Regular Registration & Payment Deadline 

March 10, 2019

Conference Date 
May 7-9, 2019