BEGIN:VCALENDAR VERSION:2.0 PRODID:IEEE vTools.Events//EN CALSCALE:GREGORIAN BEGIN:VTIMEZONE TZID:Canada/Eastern BEGIN:DAYLIGHT DTSTART:20180311T030000 TZOFFSETFROM:-0500 TZOFFSETTO:-0400 RRULE:FREQ=YEARLY;BYDAY=2SU;BYMONTH=3 TZNAME:EDT END:DAYLIGHT BEGIN:STANDARD DTSTART:20181104T010000 TZOFFSETFROM:-0400 TZOFFSETTO:-0500 RRULE:FREQ=YEARLY;BYDAY=1SU;BYMONTH=11 TZNAME:EST END:STANDARD END:VTIMEZONE BEGIN:VEVENT DTSTAMP:20180611T200459Z UID:8E0E814A-CE5C-4B83-B6B5-0AD937815D9A DTSTART;TZID=Canada/Eastern:20180611T103000 DTEND;TZID=Canada/Eastern:20180611T113000 DESCRIPTION:Breast cancer is responsible for 25% of all new cancers in Cana dian women and is a growing global health concern. While x-ray mammography is the current standard for breast imaging and has benefits for managing local control in women over the age of 50\, its false positive rate of up to 20%\, inability to reduce mortality\, particularly in younger women and its tendency for overdiagnosis\, provides opportunities for complementary techniques. Breast microwave imaging is an emerging imaging modality that uses non-ionizing microwave signals to image the breast. Radar-based syst ems are popular because of their simplicity\, but the quality of the image s reconstructed from these systems is often low.\n\nThis talk will present an iterative microwave radar reconstruction algorithm for breast cancer d etection based on the maximum-likelihood expectation-maximization (MLEM) a lgorithm used in positron emission tomography. The iterative nature of thi s algorithm allows for the implementation of various correction factors in to the signal model. Corrections for the antennas beam pattern and frequen cy-dependent gain\, and for the inhomogeneous propagation speed of the sig nal in the scan region were implemented. Experimental scans of an array of 3D-printed MRI-based anthropomorphic breast phantoms were used to test an d validate the reconstruction algorithm\, and the reconstructed images wer e compared to those produced by a published holographic reconstruction alg orithm.\n\nThe monostatic MLEM-based radar algorithm produced images with greater signal-to-clutter ratios than those of the holographic algorithm\, particularly in the reconstruction of dense breast phantoms\, as large as 16 dB in reconstructions of a 3 cm lesion. A multistatic version of the M LEM-based algorithm will also be described\, and the images and quality me trics of these reconstructions will be compared with those of experimental monostatic and bistatic scans. The impact of breast density on the visibi lity of the tumor response in reconstructed images produced by the MLEM-ba sed algorithms and the holographic method will be explored.\n\nThe MLEM-ba sed algorithm has demonstrated improvements in both image quality and the identification of the tumor response compared to holographic reconstructio n. This talk will demonstrate the advantages of the MLEM-based algorithm\, particularly in the reconstructions of dense breasts.\n\nRefreshments wil l be served.\n\nThis event is free of charge. Due to limited room\, regist ration is required.\n\nFor questions and additional information on the eve nt\, please contact:\n\nProf. Milica Popovich\, IEEE WIE Chair – Montrea l Section\, milica.popovich@mcgill.ca\n\nSpeaker(s): Tyson Reimer\, \n\nRo om: 603\, Bldg: McConnell Engineering\, McGill University\, 3480 Rue Unive rsity\, Montreal\, Quebec\, Canada\, H3A 0E9 LOCATION:Room: 603\, Bldg: McConnell Engineering\, McGill University\, 3480 Rue University\, Montreal\, Quebec\, Canada\, H3A 0E9 ORGANIZER:milica.popovich@mcgill.ca SEQUENCE:6 SUMMARY:Microwave radar reconstruction algorithm for breast cancer detectio n: Adapting the maximum-likelihood expectation-maximization algorithm used in positron emission tomography URL;VALUE=URI:https://events.vtools.ieee.org/m/172866 X-ALT-DESC:Description: <br /><p>&nbsp\;</p>\n<p><span style="font-size: 12 pt\;">Breast cancer is responsible for 25% of all new cancers in Canadian women and is a growing global health concern. While x-ray mammography is t he current standard for breast imaging and has benefits for managing local control in women over the age of 50\, its false positive rate of up to 20 %\, inability to reduce mortality\, particularly in younger women and its tendency for overdiagnosis\, provides opportunities for complementary tech niques. Breast microwave imaging is an emerging imaging modality that uses non-ionizing microwave signals to image the breast. Radar-based systems a re popular because of their simplicity\, but the quality of the images rec onstructed from these systems is often low.&nbsp\;</span></p>\n<p><span st yle="font-size: 12pt\;">&nbsp\;</span></p>\n<p><span style="font-size: 12p t\;">This talk will present an iterative microwave radar reconstruction al gorithm for breast cancer detection based on the maximum-likelihood expect ation-maximization (MLEM) algorithm used in positron emission tomography. The iterative nature of this algorithm allows for the implementation of va rious correction factors into the signal model. Corrections for the antenn as beam pattern and frequency-dependent gain\, and for the inhomogeneous p ropagation speed of the signal in the scan region were implemented. Experi mental scans of an array of 3D-printed MRI-based anthropomorphic breast ph antoms were used to test and validate the reconstruction algorithm\, and t he reconstructed images were compared to those produced by a published hol ographic reconstruction algorithm.</span></p>\n<p><span style="font-size: 12pt\;">&nbsp\;</span></p>\n<p><span style="font-size: 12pt\;">The monosta tic MLEM-based radar algorithm produced images with greater signal-to-clut ter ratios than those of the holographic algorithm\, particularly in the r econstruction of dense breast phantoms\, as large as 16&nbsp\;dB in recons tructions of a 3&nbsp\;cm lesion. A multistatic version of the MLEM-based algorithm will also be described\, and the images and quality metrics of t hese reconstructions will be compared with those of experimental monostati c and bistatic scans. The impact of breast density on the visibility of th e tumor response in reconstructed images produced by the MLEM-based algori thms and the holographic method will be explored.</span></p>\n<p><span sty le="font-size: 12pt\;">&nbsp\;</span></p>\n<p><span style="font-size: 12pt \;">The MLEM-based algorithm has demonstrated improvements in both image q uality and the identification of the tumor response compared to holographi c reconstruction. This talk will demonstrate the advantages of the MLEM-ba sed algorithm\, particularly in the reconstructions of dense breasts.</spa n></p>\n<p>&nbsp\;</p>\n<p>Refreshments will be served.</p>\n<p>This event is free of charge. Due to limited room\, registration is required.</p>\n< p>&nbsp\;</p>\n<p><strong><em>For questions and additional information on the event\, please contact: </em></strong></p>\n<p><strong>Prof. Milica Po povich\, IEEE WIE Chair &ndash\; Montreal Section\, milica.popovich@mcgill .ca</strong></p> END:VEVENT END:VCALENDAR