Publications

In Press
LP Panych, V Kimbrell, S Mukundan, and B Madore. In Press. “Magnetic Force Mapping and MRI Safety.” J Magn Reson Imag.
2019
B Madore, C-C Cheng, and F Preiswerk. 2019. “Combining MR and ultrasound imaging, through sensor-based probe tracking.” Proceedings of the International Society of Magnetic Resonance in Medicine. Montréal, Québec, Canada.
P Aksit Ciris, Jr-y Chiou, D Glazer, SH Zhang, TC Chao, CM Tempany-Afdhal, B Madore, and SE Maier. 2019. “Accelerated Segmented Diffusion-Weighted Prostate Imaging for Higher Resolution, Higher Geometric Fidelity, and Multi-b Perfusion Quantification.” Investigative Radiology, 54, Pp. 238-46.
SS Yengul, PE Barbone, and B Madore. 2019. “Dispersion in tissue-mimicking gels measured with shear wave elastography and torsional vibration rheometry.” Ultrasound in Medicine and Biology, 45, 2, Pp. 586-604.
B Madore, C-C Cheng, and F Preiswerk. 2019. “Motion Correction with External Sensors (invited talk).” Proceedings of the International Society of Magnetic Resonance in Medicine. Montréal, Québec, Canada.
Cheng-Chieh Cheng, W. Scott Hoge, Terry H Kuo, Frank Preiswerk, and Bruno Madore. 2019. “Multi-Pathway Multi-Echo (MPME) imaging: all main MR parameters mapped based on a single 3D scan.” Magn Reson Med, 81, 3, Pp. 1699-1713.
C-C Cheng, F Preiswerk, and B Madore. 2019. “Quantitative and synthetic MRI using a Multi-Pathway Multi-Echo (MPME) acquisition followed by machine-learning contrast translation.” Proceedings of the International Society of Magnetic Resonance in Medicine. Montréal, Québec, Canada.
B Madore, C-C Cheng, and F Preiswerk. 2019. “Ultrasound-based sensors for enhanced medical imaging performance (invited talk).” World Medical Innovation Forum. Boston, MA, USA.
2018
B Madore, C-C Cheng, and F Preiswerk. 2018. “Hybrid MRI-ultrasound acquisitions (invited talk).” i2i from innovation to implementation in imaging. NYU, New York, NY, USA.
B Madore, C-C Cheng, and F Preiswerk. 2018. “The instrumented scanner (invited talk).” Gordon Research Conference on In Vivo Magnetic Resonance. Proctor Academy in Andover, NH, USA.
B Madore, C-C Cheng, and F Preiswerk. 2018. “Sensors to track the 3D position and orientation of US imaging probes (invited talk).” NCIGT workshop on Image-Guided Therapy. Boston, MA, USA.
F Preiswerk, C-C Cheng, J Luo, and B Madore. 2018. “Synthesizing dynamic MRI using long-term recurrent convolutional networks.” Conference on Machine Learning in Medical Imaging.
B Madore, C-C Cheng, and F Preiswerk. 2018. “Ultrasound-based sensors, for enhanced medical imaging.” Fourteenth annual retreat of the Broad Institute. Boston, MA, USA.
C-C Cheng, G Belsey, SC Moore, F Preiswerk, P-H Wu, M Foley Kijewski, L Campbell, MF DiCarli, and B Madore. 2018. “Ultrasound-based sensors for motion correction of PET data.” Society of Nuclear Medicine and Molecular Imaging. Philadelphia, PA, USA.
Sanjay S Yengul, Paul E Barbone, and Bruno Madore. 2018. “Application of a forward model of axisymmetric shear wave propagation in viscoelastic media to shear wave elastography.” J Acoust Soc Am, 143, Pp. 3266-3277.Abstract
A simple but general solution of Navier's equation for axisymmetric shear wave propagation in a homogeneous isotropic viscoelastic medium is presented. It is well-suited for use as a forward model for some acoustic radiation force impulse based shear wave elastography applications because it does not require precise knowledge of the strength of the source, nor its spatial or temporal distribution. Instead, it depends on two assumptions: (1) the source distribution is axisymmetric and confined to a small region near the axis of symmetry, and (2) the propagation medium is isotropic and homogeneous. The model accounts for the vector polarization of shear waves and exactly represents geometric spreading of the shear wavefield, whether spherical, cylindrical, or neither. It makes no assumption about the frequency dependence of material parameters, i.e., it is material-model independent. Validation using measured shear wavefields excited by acoustic radiation force in a homogeneous gelatin sample show that the model accounts for well over 90% of the measured wavefield "energy." An optimal fit of the model to simulated shear wavefields with noise in a homogeneous viscoelastic medium enables estimation of both the shear storage modulus and shear wave attenuation to within 1%.
P-H Wu, C-C Cheng, F Preiswerk, and B Madore. 2018. “Application of hybrid MR-ultrasound imaging to multi-baseline thermometry.” Proceedings of the International Society of Magnetic Resonance in Medicine. Paris, France: p. 1493.
B Madore. 2018. “Concurrent MR Imaging of Real-Time Event (invited talk).” Proceedings of the International Society of Magnetic Resonance in Medicine. Paris, France.
C-S Mei, S Zong, B Madore, and NJ McDannold. 2018. “Focus correction in MR thermometrygraphy for precise targeting in focused ultrasound thalamotomy for essential tremor: statistical study from 121 sonications in 7 patients.” Proceedings of the International Society of Magnetic Resonance in Medicine. Paris, France: p. 1190.
Lawrence P. Panych and Bruno Madore. 2018. “The physics of MRI safety.” J Mag Reson Imaging, 47, 1, Pp. 28-43.Abstract
The main risks associated with magnetic resonance imaging (MRI) have been extensively reported and studied; for example, everyday objects may turn into projectiles, energy deposition can cause burns, varying fields can induce nerve stimulation, and loud noises can lead to auditory loss. The present review article is geared toward providing intuition about the physical mechanisms that give rise to these risks. On the one hand, excellent literature already exists on the practical aspect of risk management, with clinical workflow and recommendations. On the other hand, excellent technical articles also exist that explain these risks from basic principles of electromagnetism. We felt that an underserved niche might be found between the two, ie, somewhere between basic science and practical advice, to help develop intuition about electromagnetism that might prove of practical value when working around MR scanners. Following a wide-ranging introduction, risks originating from the main magnetic field, the excitation RF electromagnetic field, and switching of the imaging gradients will be presented in turn.
B Madore, C-C Cheng, and F Preiswerk. 2018. “Ultrasound-based sensors for physiological motion monitoring.” Proceedings of the International Society of Magnetic Resonance in Medicine. Paris, France: p. 1004.

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