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Dive into the research topics where Jianing Pang is active.

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Featured researches published by Jianing Pang.


Magnetic Resonance in Medicine | 2014

Whole-heart coronary MRA with 100% respiratory gating efficiency: Self-navigated three-dimensional retrospective image-based motion correction (TRIM)

Jianing Pang; Himanshu Bhat; Behzad Sharif; Zhaoyang Fan; Louise Thomson; Troy LaBounty; John D. Friedman; James K. Min; Daniel S. Berman; Debiao Li

To develop a three‐dimensional retrospective image‐based motion correction technique for whole‐heart coronary MRA with self‐navigation that eliminates both the need to setup a diaphragm navigator and gate the acquisition.


Magnetic Resonance in Medicine | 2014

ECG and navigator-free four-dimensional whole-heart coronary MRA for simultaneous visualization of cardiac anatomy and function

Jianing Pang; Behzad Sharif; Zhaoyang Fan; Xiaoming Bi; Reza Arsanjani; Daniel S. Berman; Debiao Li

To develop a cardiac and respiratory self‐gated four‐dimensional (4D) coronary MRA technique for simultaneous cardiac anatomy and function visualization.


Magnetic Resonance in Medicine | 2016

Four-dimensional MRI using three-dimensional radial sampling with respiratory self-gating to characterize temporal phase-resolved respiratory motion in the abdomen

Zixin Deng; Jianing Pang; Wensha Yang; Yong Yue; Behzad Sharif; Richard Tuli; Debiao Li; Benedick A. Fraass; Zhaoyang Fan

To develop a four‐dimensional MRI (4D‐MRI) technique to characterize the average respiratory tumor motion for abdominal radiotherapy planning.


Magnetic Resonance in Medicine | 2015

Accelerated whole-heart coronary MRA using motion-corrected sensitivity encoding with three-dimensional projection reconstruction

Jianing Pang; Behzad Sharif; Reza Arsanjani; Xiaoming Bi; Zhaoyang Fan; Qi Yang; Kuncheng Li; Daniel S. Berman; Debiao Li

To achieve whole‐heart coronary magnetic resonance angiography (MRA) with (1.0 mm)3 spatial resolution and 5 min of free‐breathing scan time.


Magnetic Resonance in Medicine | 2016

Improved black‐blood imaging using DANTE‐SPACE for simultaneous carotid and intracranial vessel wall evaluation

Yibin Xie; Qi Yang; Guoxi Xie; Jianing Pang; Zhaoyang Fan; Debiao Li

The purpose of this study was to develop a three‐dimensional black blood imaging method for simultaneously evaluating the carotid and intracranial arterial vessel walls with high spatial resolution and excellent blood suppression with and without contrast enhancement.


Magnetic Resonance in Medicine | 2016

Free-breathing, motion-corrected, highly efficient whole heart T2 mapping at 3T with hybrid radial-cartesian trajectory.

Hsin-Jung Yang; Behzad Sharif; Jianing Pang; Avinash Kali; Xiaoming Bi; Ivan Cokic; Debiao Li; Rohan Dharmakumar

To develop and test a time‐efficient, free‐breathing, whole heart T2 mapping technique at 3.0T.


International Journal of Radiation Oncology Biology Physics | 2015

Four-Dimensional Magnetic Resonance Imaging With 3-Dimensional Radial Sampling and Self-Gating-Based K-Space Sorting: Early Clinical Experience on Pancreatic Cancer Patients.

Wensha Yang; Zhaoyang Fan; Richard Tuli; Zixin Deng; Jianing Pang; Ashley Wachsman; Robert Reznik; Howard M. Sandler; Debiao Li; Benedick A. Fraass

PURPOSE To apply a novel self-gating k-space sorted 4-dimensional MRI (SG-KS-4D-MRI) method to overcome limitations due to anisotropic resolution and rebinning artifacts and to monitor pancreatic tumor motion. METHODS AND MATERIALS Ten patients were imaged using 4D-CT, cine 2-dimensional MRI (2D-MRI), and the SG-KS-4D-MRI, which is a spoiled gradient recalled echo sequence with 3-dimensional radial-sampling k-space projections and 1-dimensional projection-based self-gating. Tumor volumes were defined on all phases in both 4D-MRI and 4D-CT and then compared. RESULTS An isotropic resolution of 1.56 mm was achieved in the SG-KS-4D-MRI images, which showed superior soft-tissue contrast to 4D-CT and appeared to be free of stitching artifacts. The tumor motion trajectory cross-correlations (mean ± SD) between SG-KS-4D-MRI and cine 2D-MRI in superior-inferior, anterior-posterior, and medial-lateral directions were 0.93 ± 0.03, 0.83 ± 0.10, and 0.74 ± 0.18, respectively. The tumor motion trajectories cross-correlations between SG-KS-4D-MRI and 4D-CT in superior-inferior, anterior-posterior, and medial-lateral directions were 0.91 ± 0.06, 0.72 ± 0.16, and 0.44 ± 0.24, respectively. The average standard deviation of gross tumor volume calculated from the 10 breathing phases was 0.81 cm(3) and 1.02 cm(3) for SG-KS-4D-MRI and 4D-CT, respectively (P=.012). CONCLUSIONS A novel SG-KS-4D-MRI acquisition method capable of reconstructing rebinning artifact-free, high-resolution 4D-MRI images was used to quantify pancreas tumor motion. The resultant pancreatic tumor motion trajectories agreed well with 2D-cine-MRI and 4D-CT. The pancreatic tumor volumes shown in the different phases for the SG-KS-4D-MRI were statistically significantly more consistent than those in the 4D-CT.


Radiology | 2016

Diagnostic Performance of Self-navigated Whole-Heart Contrast-enhanced Coronary 3-T MR Angiography

Yi He; Jianing Pang; Qinyi Dai; Zhanming Fan; Jing An; Debiao Li

Purpose To evaluate the diagnostic performance of self-navigated whole-heart coronary 3-T magnetic resonance (MR) angiography by using conventional invasive coronary angiography (ICA) as the reference gold standard. Materials and Methods This study was approved by the local ethics committee. Written informed consent was obtained from each patient before the study. Thirty-nine consecutive patients underwent coronary MR angiography and later underwent ICA. Coronary MR angiography was performed with a 3-T imager with contrast agent enhancement during free breathing with self-navigated affine motion correction reconstruction. Coronary segments with reference diameters larger than 1.5 mm were included in the comparison between coronary MR angiography and ICA. The coronary MR angiography images were evaluated by two experienced readers blinded to the ICA results to identify significant luminal narrowing (>50% diameter reduction in reference ICA). Sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were performed to detect significant coronary artery stenosis. Results Coronary MR angiography examinations were successfully performed in all 39 patients. A total of 327 coronary segments had reference luminal diameter larger than 1.5 mm. Of these 327 coronary segments, 303 (92.7%) segments had a quality score greater than 1 at coronary MR angiography and were included in the analysis. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were 78.2%, 75.0%, 81.8%, 70.6%, and 76.9%, respectively, on a per-patient basis. Conclusion Contrast-enhanced self-navigated coronary 3-T MR angiography is a promising technique for the noninvasive detection of clinically significant coronary stenosis.


Magnetic Resonance in Medicine | 2016

In vivo diffusion-tensor MRI of the human heart on a 3 tesla clinical scanner: An optimized second order (M2) motion compensated diffusion-preparation approach.

Christopher Nguyen; Zhaoyang Fan; Yibin Xie; Jianing Pang; Peter Speier; Xiaoming Bi; J. Kobashigawa; Debiao Li

To optimize a diffusion‐prepared balanced steady‐state free precession cardiac MRI (CMR) technique to perform diffusion‐tensor CMR (DT‐CMR) in humans on a 3 Tesla clinical scanner


Magnetic Resonance in Medicine | 2016

High efficiency coronary MR angiography with nonrigid cardiac motion correction.

Jianing Pang; Yuhua Chen; Zhaoyang Fan; Christopher Nguyen; Qi Yang; Yibin Xie; Debiao Li

To improve the coronary visualization quality of four‐dimensional (4D) coronary MR angiography (MRA) through cardiac motion correction and iterative reconstruction.

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Debiao Li

Cedars-Sinai Medical Center

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Zhaoyang Fan

Cedars-Sinai Medical Center

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Zixin Deng

Cedars-Sinai Medical Center

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Daniel S. Berman

Cedars-Sinai Medical Center

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Richard Tuli

Cedars-Sinai Medical Center

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Benedick A. Fraass

Cedars-Sinai Medical Center

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Behzad Sharif

Cedars-Sinai Medical Center

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Yibin Xie

Cedars-Sinai Medical Center

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Christopher Nguyen

Cedars-Sinai Medical Center

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