Special note: Afterwards we have space reserved at the Big Rig restaurant at the Gloucester Centre. This will be an opportunity to relax (particularly the speakers) and socialise.
Speaker information:
Amir Jabbarpour (Carleton University)
Artificial Intelligence in Ventilation Perfusion Scans for Diagnosing Pulmonary Embolism’
Abstract
Ventilation-perfusion (V/Q) scintigraphy has a major role to play in the diagnosis of pulmonary embolism (PE). Objective criteria exist for diagnosing PE on both V/Q planar and SPECT; however, reporting physicians ultimately incorporate their own subjective judgement into a final diagnosis. Therefore, this imaging modality is a promising candidate for standardizing and automating image interpretation with artificial intelligence (AI). Early studies from the 1990s and early 2000s with this aim report promising results but now rely on outdated machine learning techniques. Since then, there has been little work in this domain with recent investigations shifting focus to computed tomography pulmonary angiography. There is therefore a huge potential to resurrect and modernize this field with state-of-the-art deep learning approaches. The ultimate objective of this research project is to increase the value of V/Q scans as a nuclear medicine procedure and promote its use by means of various supervised and unsupervised AI solutions for automatic diagnosis and improved workflow with convolutional neural networks. Such solutions should benefit nuclear medicine physicians and their patients, both as a diagnostic aid for the experienced physicians as well as a training tool for physicians in training.
Costel Flueraru (NRC)
Advances in Optical Medical Imaging: (i) Insights through Optical Coherence Tomography in Radiotherapy and (ii) Single-Pixel Imaging
Abstract
This presentation delves into the realm of optical medical imaging, focusing on two key facets. In the first segment, the exploration encompasses the utility of Optical Coherence Tomography (OCT) in distinguishing between healthy tissue and cancer, as well as its potential in monitoring tissue changes produced by radiotherapy. The second part introduces a novel imaging methodology, wherein a singular detector/pixel is employed for image reconstruction. The presentation details the setup of this innovative approach and offers a comprehensive analysis of its merits and demerits.