BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT DTSTART:20230312T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20231105T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20230619T194444Z UID:2DCF4AD2-CB93-4FAA-ABF9-D86CEE3267E1 DTSTART;TZID=America/New_York:20230612T160000 DTEND;TZID=America/New_York:20230612T180000 DESCRIPTION:Biomedical applications at microwave and radio frequencies rely on the differences in permittivity and conductivity of biological tissues . The properties of healthy tissues span a wide range that relates to wate r content\, while diseased tissues such as malignancies typically exhibit increased properties. Leveraging these differences\, microwave imaging has been investigated as an alternative method for breast cancer detection an d treatment monitoring.\n\nSeveral approaches have been developed to map t he properties of tissues and identify anomalies. Microwave tomography invo lves measuring signals transmitted through the tissues\, then iteratively updating properties of a model until simulations match these measurements. Radar-based approaches involve collecting reflections from tissues\, then processing and focusing these reflections to identify anomalies. For both radar and tomography\, key challenges are design of a measurement system and interface that enable reliable and rapid collection of data while oper ating close to the target tissues\, developing imaging algorithms capable of detecting anomalies in a complex background\, and reconciling the resul ting microwave images with clinically available data.\n\nAt the University of Calgary\, we have developed several generations of prototype systems\, focusing on demonstrating the consistency of images collected at differen t time points\, as well as the feasibility of detecting tumors and treatme nt-related changes. Our most advanced radar-based system implements patien t-specific capabilities\, scanning the breast with 4 degrees of freedom in sensor positioning to enable consistent collection of data. We leveraged the knowledge gained through experience with this system to develop a nove l approach that estimates locally averaged properties of tissues by detect ing pulses traveling through the breast. With this approach\, we have demo nstrated a high degree of similarity between images captured at different time points\, as well as symmetry between properties of the right and left breasts. Comparison of the images of right and left breasts of cancer pat ients has also enabled tracking treatment-related changes. Recently\, our team began testing the next generation of this transmission system that fe atures improved resolution. The initial results obtained with this system add to the growing body of work that illustrates the potential of microwav e imaging to provide a unique breast imaging solution.\n\nSpeaker(s): Prof . Elise Fear\n\nRoom: BA1180\, Bldg: Bahen Centre for Information Technolo gy\, 40 St George st\, Toronto\, Ontario\, Canada LOCATION:Room: BA1180\, Bldg: Bahen Centre for Information Technology\, 40 St George st\, Toronto\, Ontario\, Canada ORGANIZER:sean.hum@utoronto.ca SEQUENCE:19 SUMMARY:Radar-inspired imaging for breast cancer detection URL;VALUE=URI:https://events.vtools.ieee.org/m/361423 X-ALT-DESC:Description: <br /><p>Biomedical applications at microwave and r adio frequencies rely on the differences in permittivity and conductivity of biological tissues.&nbsp\; The properties of healthy tissues span a wid e range that relates to water content\, while diseased tissues such as mal ignancies typically exhibit increased properties. &nbsp\;Leveraging these differences\, microwave imaging has been investigated as an alternative me thod for breast cancer detection and treatment monitoring.</p>\n<p>Several approaches have been developed to map the properties of tissues and ident ify anomalies.&nbsp\; Microwave tomography involves measuring signals tran smitted through the tissues\, then iteratively updating properties of a mo del until simulations match these measurements.&nbsp\; Radar-based approac hes involve collecting reflections from tissues\, then processing and focu sing these reflections to identify anomalies.&nbsp\; For both radar and to mography\, key challenges are design of a measurement system and interface that enable reliable and rapid collection of data while operating close t o the target tissues\, developing imaging algorithms capable of detecting anomalies in a complex background\, and reconciling the resulting microwav e images with clinically available data.&nbsp\;</p>\n<p>At the University of Calgary\, we have developed several generations of prototype systems\, focusing on demonstrating the consistency of images collected at different time points\, as well as the feasibility of detecting tumors and treatmen t-related changes.&nbsp\; Our most advanced radar-based system implements patient-specific capabilities\, scanning the breast with 4 degrees of free dom in sensor positioning to enable consistent collection of data.&nbsp\; We leveraged the knowledge gained through experience with this system to d evelop a novel approach that estimates locally averaged properties of tiss ues by detecting pulses traveling through the breast. With this approach\, we have demonstrated a high degree of similarity between images captured at different time points\, as well as symmetry between properties of the r ight and left breasts.&nbsp\; Comparison of the images of right and left b reasts of cancer patients has also enabled tracking treatment-related chan ges.&nbsp\; Recently\, our team began testing the next generation of this transmission system that features improved resolution.&nbsp\; The initial results obtained with this system add to the growing body of work that ill ustrates the potential of microwave imaging to provide a unique breast ima ging solution.</p> END:VEVENT END:VCALENDAR