Publications

2015
Jr-y Chiou, B Madore, and SE Maier. 2015. “Accelerated Multi-Shot Diffusion Imaging in Optic Nerve.” Proceedings of the International Society of Magnetic Resonance in Medicine. Toronto, Canada: p. 2305.
P Aksit Ciris, Jr-y Chiou, A Fedorov, C Tempany, B Madore, and SE Maier. 2015. “Accelerated, Segmented Diffusion-Weighted Imaging in the Prostate to achieve High Resolution, Speed and Geometric Fidelity.” Proceedings of the International Society of Magnetic Resonance in Medicine. Toronto, Canada: p. 3994.
T-C Chao, Jr-y Chiou, SE Maier, and B Madore. 2015. “High angularly resolved diffusion imaging with short scan time and low distortion.” Proceedings of the International Society of Magnetic Resonance in Medicine. Toronto, Canada: p. 2940.
B Madore, WS Hoge, T-H Kuo, and C-C Cheng. 2015. “Quantitative MR imaging method: All of the main MR parameters can be obtained in little more than a single scan.” Proceedings of the International Society of Magnetic Resonance in Medicine. Toronto, Canada: p. 1665.
C-C Cheng, C-S Mei, P Aksit Ciris, RV Mulkern, M Balasubramanian, H-W Chung, T-C Chao, and LP Panych. 2015. “Simultaneous frequency and T2 mapping, applied to thermometry and to susceptibility-weighted imaging.” Proceedings of the International Society of Magnetic Resonance in Medicine. Toronto, Canada: p. 333.
F Preiswerk, WS Hoge, M Toews, Jr-y Chiou, L Chauvin, LP Panych, and B Madore. 2015. “Speeding-up MR acquisitions using ultrasound signals, and scanner-less real-time MR imaging.” Proceedings of the International Society of Magnetic Resonance in Medicine. Toronto, Canada: p. 0863.
F Preiswerk, WS Hoge, M Toews, Jr-y Chiou, L Chauvin, and LP Panych. 2015. “Speeding-up MR acquisitions using ultrasound signals, and scanner-less real-time MR imaging.” Proceedings of the International Society of Magnetic Resonance in Medicine. Toronto, Canada: p. 863.
C-S Mei, R Chu, WS Hoge, LP Panych, and B Madore. 2015. “Accurate field mapping in the presence of B0 inhomogeneities, applied to MR thermometry.” Magnetic Resonance in Medicine, 73, 6, Pp. 2142–2151.Abstract
PURPOSE: To describe how B0 inhomogeneities can cause errors in proton resonance frequency (PRF) shift thermometry, and to correct for these errors. METHODS: With PRF thermometry, measured phase shifts are converted into temperature measurements through the use of a scaling factor proportional to the echo time, TE. However, B0 inhomogeneities can deform, spread, and translate MR echoes, potentially making the "true" echo time vary spatially within the imaged object and take on values that differ from the prescribed TE value. Acquisition and reconstruction methods able to avoid or correct for such errors are presented. RESULTS: Tests were performed in a gel phantom during sonication, and temperature measurements were made with proper shimming as well as with intentionally introduced B0 inhomogeneities. Errors caused by B0 inhomogeneities were observed, described, and corrected by the proposed methods. No statistical difference was found between the corrected results and the reference results obtained with proper shimming, while errors by more than 10% in temperature elevation were corrected for. The approach was also applied to an abdominal in vivo dataset. CONCLUSION: Field variations induce errors in measured field values, which can be detected and corrected. The approach was validated for a PRF thermometry application.
F Preiswerk, M Toews, W. S. Hoge, JG Chiou, LP Panych, WM Wells, and B Madore. 2015. “Hybrid Utrasound and MRI Acquisitions for High-Speed Imaging of Respiratory Organ Motion.” In: Navab N, Hornegger J, Wells W, Frangi A, editors. Medical Image Computing and Computer-Assisted Intervention – MICCAI: Springer International Publishing, Pp. 315-322.Abstract
Magnetic Resonance (MR) imaging provides excellent image quality at a high cost and low frame rate. Ultrasound (US) provides poor image quality at a low cost and high frame rate. We propose an instance-based learning system to obtain the best of both worlds: high quality MR images at high frame rates from a low cost single-element US sensor. Concurrent US and MRI pairs are acquired during a relatively brief offine learning phase involving the US transducer and MR scanner. High frame rate, high quality MR imaging of respiratory organ motion is then predicted from US measurements, even after stopping MRI acquisition, using a probabilistic kernel regression framework. Experimental results show predicted MR images to be highly representative of actual MR images.
2014
C-S Mei, R Chu, WS Hoge, LP Panych, and B Madore. 2014. “Accurate temperature measurements in the presence of field inhomogeneities.” Proceedings of the International Society of Magnetic Resonance in Medicine. Milan, Italy: p. 3675.
M Toews, C-S Mei, R Chu, WS Hoge, LP Panych, and B Madore. 2014. “Detecting Rapid Organ Motion Using a Hybrid MR-Ultrasound Setup and Bayesian Data Processing.” Proceedings of the International Society of Magnetic Resonance in Medicine. Milan, Italy: p. 681.
T-C Chao, Chiou Jr-y, SE Maier, and Madore B. 2014. “High Angularly Resolved Diffusion Imaging with Accelerated Multi-Shot Acquisition and Compressed Sensing.” Proceedings of the International Society of Magnetic Resonance in Medicine. Milan, Italy: p. 334.
C-L Chang, T-C Chao, MA Durán Mendicuti, M-T Wu, and Madore B. 2014. “Improved Algorithm for 3D Non-Contrast Pulmonary MRA.” Proceedings of the International Society of Magnetic Resonance in Medicine. Milan, Italy: p. 1589.
C-S Mei, R Chu, LP Panych, and B Madore. 2014. “A Motion-Robust Sequence for Combined Thermometry and T2-Mapping to Guide and Assess Tissue Damage During Thermal Therapies.” Proceedings of the International Society of Magnetic Resonance in Medicine. Milan, Italy: p. 3674.
B Madore, C-C Cheng, and C-S Mei. 2014. “Quantitative MR imaging method.” Proceedings of the International Society of Magnetic Resonance in Medicine. Milan, Italy: p. 336.
B Madore, Jr-y Chiou, R Chu, T-C Chao, and SE Maier. 2014. “Accelerated multi-shot diffusion imaging.” Magnetic Resonance in Medicine, 72, 2, Pp. 324–336.Abstract
PURPOSE: To reduce image distortion in MR diffusion imaging using an accelerated multi-shot method. METHODS: The proposed method exploits the fact that diffusion-encoded data tend to be sparse when represented in the kb-kd space, where kb and kd are the Fourier transform duals of b and d, the b-factor and the diffusion direction, respectively. Aliasing artifacts are displaced toward under-used regions of the kb-kd plane, allowing nonaliased signals to be recovered. A main characteristic of the proposed approach is how thoroughly the navigator information gets used during reconstruction: The phase of navigator images is used for motion correction, while the magnitude of the navigator signal in kb-kd space is used for regularization purposes. As opposed to most acceleration methods based on compressed sensing, the proposed method reduces the number of ky lines needed for each diffusion-encoded image, but not the total number of images required. Consequently, it tends to be most effective at reducing image distortion rather than reducing total scan time. RESULTS: Results are presented for three volunteers with acceleration factors ranging from 4 to 8, with and without the inclusion of parallel imaging. CONCLUSION: An accelerated motion-corrected diffusion imaging method was introduced that achieves good image quality at relatively high acceleration factors.
SS Yengul, OA Babaniyi, FC Meral, B Madore, and PE Barbone. 2014. “Improving ultrasound-based estimates of vector displacement fields in elastography applications.” The Journal of the Acoustical Society of America 135 (4), Pp. 2156–2156. ASA.
2013
B Madore, Jr-y Chiou, R Chu, and T-C Chao. 2013. “Accelerated multi-shot diffusion imaging.” Proceedings of the International Society of Magnetic Resonance in Medicine. Salt Lake City, UT, USA: p. 2063.
T-C Chao, Jr-y Chiou, C-W Ko, M-T Wu, and SE Maier. 2013. “A k-d space acceleration strategy for HARDI with compressed sensing.” Proceedings of the International Society of Magnetic Resonance in Medicine. Salt Lake City, UT, USA: p. 3178.
M Toews, C-S Mei, R Chu, WS Hoge, BM Schwartz, G Wang, LP Panych, and B Madore. 2013. “Novel target-tracking strategy for MR-guided procedures.” Proceedings of the International Society of Magnetic Resonance in Medicine. Salt Lake City, UT, USA: p. 478.

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