BEGIN:VCALENDAR CALSCALE:GREGORIAN VERSION:2.0 METHOD:PUBLISH PRODID:-//Drupal iCal API//EN X-WR-TIMEZONE:America/New_York BEGIN:VTIMEZONE TZID:America/New_York BEGIN:DAYLIGHT TZOFFSETFROM:-0500 RRULE:FREQ=YEARLY;BYMONTH=3;BYDAY=2SU DTSTART:20070311T020000 TZNAME:EDT TZOFFSETTO:-0400 END:DAYLIGHT BEGIN:STANDARD TZOFFSETFROM:-0400 RRULE:FREQ=YEARLY;BYMONTH=11;BYDAY=1SU DTSTART:20071104T020000 TZNAME:EST TZOFFSETTO:-0500 END:STANDARD END:VTIMEZONE BEGIN:VEVENT SEQUENCE:1 X-APPLE-TRAVEL-ADVISORY-BEHAVIOR:AUTOMATIC UID:238296 DTSTAMP:20260625T124030Z DTSTART;TZID=America/New_York:20260626T100000 DTEND;TZID=America/New_York:20260626T110000 URL;TYPE=URI:https://www.wpi.edu/news/calendar/events/bme-ms-thesis-defense -kristina-macleod-regional-3d-high-resolution-peripheral-quantitative-ct SUMMARY:BME MS Thesis Defense: Kristina MacLeod “Regional 3D High-Resolutio n Peripheral Quantitative CT Registration \& Analysis: Methods \& Applicat ions” LOCATION:United States DESCRIPTION:\n\n\n \n \n\n\n\nMaster’s Thesis Defense \n“Regional 3D High-Resolution Peripheral Quantitative CT Registration \& Analysis: M ethods \& Applications”\nKristina MacLeod\nAbstract: High-resolution perip heral quantitative CT (HRpQCT) is widely used in research to measure chang es in bone microstructure in response to interventions such as drugs and p hysical activity. Whole-bone analyses cannot detect localized changes to b one that may be important. We developed and validated a method to perform subregional analysis of HRpQCT scans of the distal tibia in native SCANCO software.\nDistal tibia HRpQCT scans (XtremeCT I, SCANCO, Brüttisellen, Sw itzerland) include 110 slices over a 9.01mm region of interest at a resolu tion of 82µm. Using SCANCO's internal Image Processing Language, we develo ped scripts to automatically divide scans into quadrant subregions for mic rostructural evaluation. This method was validated against whole-tibia mea sures and coefficient of variation (%CV) within a precision analysis datas et was calculated. Total area, bone mineral density (BMD), and bone volume to total volume ratio (BV/TV) were recovered from subregions in a test se t of 8 scans and compared to whole-bone values. To investigate regional ch anges, we analyzed a set of 10 physically active non-runners (control) and 11 runners training for their first marathon (experimental). We compared subregional adaptation before (T1) and after (T2) the 8-month marathon tra ining period using repeated measures ANOVA (time x region repeated).\nSubr egion division takes ~ 2 minutes, using 2 scripts. Average %CV across all parameters was 0.64%, 1.09%, 1.14%, 0.73%, and 0.92% for the whole tibia a nd each region respectively. Average summed area and area-weighted total B MD and BV/TV of the four subregions were within 1% of the whole tibia valu es. In the experimental group, the runners exhibited significant regional increases over time in cortical density (P = 0.02) and decreases in BV/TV (P < 0.05) that were not captured by whole-tibia analysis. Additionally , significant differences between regions were observed for all measured p arameters in both groups (P < 0.01).\nThis novel workflow produces cons istent subregional values relative to the total bone metrics. Applying thi s method, we observed that marathon training increased bone formation most in the medial/posterior quadrants. These results demonstrate an efficient and automated method for accurate subregional analysis. Our data further shows the benefit of subregion analysis by highlighting local bone adaptat ion that can be overlooked using traditional whole-bone methods.\n\n\n\nTh esis Advisor:\n Defense Committee:\n\n\n\n\nKaren Troy, PhD\nProfessor \& Dept. Head\nBiomedical Engineering\nWorcester Polytechnic Institute\n\n\nG eorge Pins PhD (Chair)\nProfessor\nBiomedical Engineering\nWorcester Polyt echnic Institute\n\n\nSongbai Ji, PhD\nProfessor\nBiomedical Engineering\n Worcester Polytechnic Institute\n\n\n\n\nFor a zoom link, please email kha rrison@wpi.edu\n END:VEVENT END:VCALENDAR