Krishnamurthy Ramkumar,  Liu Yingmin,  Hu Houchun,  Krishnamurthy Rajesh,  Hor Kan,  Ahmad Rizwan

Final Pr. ID: Poster #: SCI-003

Conventional cardiac MRI (CMR) acquisitions in children are limited by long acquisition time, need for sedation, and an inefficient workflow. A conventional cine SSFP short-axis stack typically takes 5-7 minutes to complete and is ineffective for subjects with arrhythmias. Available alternatives like free-breathing, real-time cine (RT-cine) SSFP have suboptimal temporal and spatial resolution. Recent advances in compressed sensing (CS) MRI techniques may overcome this limitation. We hypothesize that a CS-based approach will allow the scan time for a short axis RT-cine stack to be shortened to less than a minute without compromising spatial or temporal resolution. Read More

Authors:  Krishnamurthy Ramkumar , Liu Yingmin , Hu Houchun , Krishnamurthy Rajesh , Hor Kan , Ahmad Rizwan

Keywords:  COmpressed Sensing, Cine, MRI

Naresh Nivedita,  Browne Lorna,  Barker Alex,  Malone Ladonna,  Fujiwara Takashi,  Hulseberg-dwyer Emma,  Mcgee Janet,  Lu Quin,  Twite Mark,  Dimaria Michael,  Fonseca Brian

Final Pr. ID: Paper #: 041

Introduction: Conventional pediatric MRI acquisitions of a short axis (SA) stack for ventricular volumes typically requires one breath-hold per slice, resulting in multiple coordinated breath-holds under anesthesia to acquire the entire stack. Here, we aim to validate a compressed sensing approach to reduce breath-holding during SA balanced steady state free precession (bSSFP) cine imaging. Equivalency is tested via qualitative image scoring and global volumes compared to conventional bSSFP cine imaging. Read More

Authors:  Naresh Nivedita , Browne Lorna , Barker Alex , Malone Ladonna , Fujiwara Takashi , Hulseberg-dwyer Emma , Mcgee Janet , Lu Quin , Twite Mark , Dimaria Michael , Fonseca Brian

Keywords:  Compressed Sensing, Cardiac Function, Anesthesia