Motivation: This is a competing renewal of our successful project, Rapid Robust Pediatric MRI, R01 EB009690. MRI offers superb soft tissue contrast for children, without the ionizing radiation and cancer risk of CT. However, MRI use has been limited due to long exams, low spatial resolution, and motion-artifacts. Thus, MRI often requires prolonged anesthesia with breath-holds and attendant risk; hence, children often lack the bene?ts of cross-sectional imaging altogether or are exposed to ionizing radiation. The previous project addressed these concerns by creating a dedicated pediatric imaging system. Highly par- allel, high-SNR 3T receive coil arrays were designed and constructed speci?cally for pediatric body imaging. The high SNR was used to accelerate scans reconstructed with a combination of parallel imaging, new mo- tion correction algorithms, compressed sensing (CS), and higher dimensional imaging. The resulting system is now being used extensively in clinical practice, signi?cantly reducing anesthesia depth and duration, and has markedly increased our MRI utilization. Key technologies have been or are now being commercialized with GE Healthcare, including the pediatric receive array, CS, 4D ?ow, full-Fourier single-shot T2-weighted scanning, and coil compression. Siemens has licensed ?ve of our patents, implemented them in work-in-progress packages, and productized our coil compression and our ESPIRiT coil sensitivity estimation. Philips has licensed three of our patents. This ensures broad impact. Approach: Despite signi?cant progress and reduced anesthesia depth and duration, patient cooperation re- mains the main limitation to eliminate anesthesia in all pediatric body MRI exams. Many children will cooperate for several minutes, but then ?dget and get out of the scanner. Others are content until acoustic noise agi- tates them. Therefore the major emphasis now is greater exam execution speed, comprehensive elimination of acoustic noise, and increased robustness, particularly to contrast agent injection. The project has three interrelated development aims, validated by clinical studies.
Aim 1 will enable fast 2D imag- ing for quiet T2 and quiet low-distortion diffusion weighted imaging.
A second aim i s to develop free-breathing 3D contrast-enhanced and diffusion-weighted imaging that is silent and motion-robust.
The third aim will enable au- tomated, smart scanning to speed the exam execution and adaptive protocols to increase the exam robustness. The impact of all of these developments in the clinic will then be assessed to assess the resulting reduction of anesthesia. Signi?cance: This work will lead to fast, robust, broadly-applicable pediatric MRI protocols with less anes- thesia, making MRI safer, cheaper, and more available to children. MRI will be transformed into a workhorse modality, reducing CT radiation burden. The techniques will facilitate wide application in the community setting and permit new MRI applications, for both pediatric and adult diseases.

Public Health Relevance

Pediatric MRI often requires anesthesia. After considerable progress reducing the depth and duration of anes- thesia, this work aims to reduce the frequency of anesthesia through a synergistic combination of fast, quiet, motion-robust, automated, and adaptive scanning. This will make MRI safer, cheaper, and more widely available to children, reducing the population risk of radiation from CT.

National Institute of Health (NIH)
National Institute of Biomedical Imaging and Bioengineering (NIBIB)
Research Project (R01)
Project #
Application #
Study Section
Biomedical Imaging Technology Study Section (BMIT)
Program Officer
Liu, Guoying
Project Start
Project End
Budget Start
Budget End
Support Year
Fiscal Year
Total Cost
Indirect Cost
Stanford University
Schools of Medicine
United States
Zip Code
Gibbons, Eric K; Vasanawala, Shreyas S; Pauly, John M et al. (2018) Body diffusion-weighted imaging using magnetization prepared single-shot fast spin echo and extended parallel imaging signal averaging. Magn Reson Med 79:3032-3044
Yoruk, Umit; Hargreaves, Brian A; Vasanawala, Shreyas S (2018) Automatic renal segmentation for MR urography using 3D-GrabCut and random forests. Magn Reson Med 79:1696-1707
Ong, Frank; Cheng, Joseph Y; Lustig, Michael (2018) General phase regularized reconstruction using phase cycling. Magn Reson Med 80:112-125
Gibbons, Eric K; Le Roux, Patrick; Pauly, John M et al. (2018) Slice profile effects on nCPMG SS-FSE. Magn Reson Med 79:430-438
Chen, Feiyu; Taviani, Valentina; Malkiel, Itzik et al. (2018) Variable-Density Single-Shot Fast Spin-Echo MRI with Deep Learning Reconstruction by Using Variational Networks. Radiology 289:366-373
Gibbons, Eric K; Le Roux, Patrick; Vasanawala, Shreyas S et al. (2018) Robust Self-Calibrating nCPMG Acquisition: Application to Body Diffusion-Weighted Imaging. IEEE Trans Med Imaging 37:200-209
Zucker, Evan J; Cheng, Joseph Y; Haldipur, Anshul et al. (2018) Free-breathing pediatric chest MRI: Performance of self-navigated golden-angle ordered conical ultrashort echo time acquisition. J Magn Reson Imaging 47:200-209
Chen, Feiyu; Zhang, Tao; Cheng, Joseph Y et al. (2017) Autocalibrating motion-corrected wave-encoding for highly accelerated free-breathing abdominal MRI. Magn Reson Med 78:1757-1766
Tamir, Jonathan I; Uecker, Martin; Chen, Weitian et al. (2017) T2 shuffling: Sharp, multicontrast, volumetric fast spin-echo imaging. Magn Reson Med 77:180-195
Lai, Lillian M; Cheng, Joseph Y; Alley, Marcus T et al. (2017) Feasibility of ferumoxytol-enhanced neonatal and young infant cardiac MRI without general anesthesia. J Magn Reson Imaging 45:1407-1418

Showing the most recent 10 out of 53 publications