We have been using sensors as an adjunct to medical scanners, to enrich and diversify the information that is being obtained. More specifically, we developed a new type of sensors that use ultrasound fields to probe the anatomy, and called them 'organ-configuration motion' (OCM) sensors:
Fig. 1 |
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Our current system is shown below, it is the size of a PC, and up to four OCM sensors can be connected at a time:
Fig. 2 |
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In our current version, the sensors need to be connected to the system (above) with cables. But we are working on a wireless version, which should prove even easier to use, here are some schematics:
Fig. 3 |
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In terms of applications, we have been using OCM sensors in combination with MRI, and PET. In the example below, MRI images were acquired at a rate of 2 frames per second; at the same time, in parallel, an early version of our sensors was busy gathering ultrasound signals at a much higher temporal rate. When combining MRI and high-rate sensor signals using machine-learning techniques we were able to reconstruct a stream of MRI-like images at a rate of 150 frames per second, a frame rate 75x greater than that of the MRI scanner alone. The video below explains the process and results in more details.
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Publications
- Madore B, Belsley G, Cheng C-C, Preiswerk P, Foley Kijewski M, Wu P-H, Martell LB, Pluim JPW, Di Carli M, and Moore SC. 12/2022. “Ultrasound-based sensors for respiratory motion assessment in multimodality PET imaging.” Phys Med Biol, 19;67(2).
- Madore B, Preiswerk F, Bredfeldt J, Zong S, and Cheng C-C. 12/2021. “Ultrasound-based sensors to monitor physiological motion.” Med Phys, 48, Pp. 3614-22.
- F Preiswerk, M Toews, C-C Cheng, Jr-y Chiou, C-S Mei, LF Schaefer, W. S. Hoge, B Schwartz, LP Panych, and B Madore. 12/31/2017. “Hybrid MRI ultrasound acquisitions, and scannerless real-time imaging. Finalist of the YIA Rabi Award, and recipient of a YIA Cum Laude Award.” Magn Reson Med, 78, Pp. 897-908.
- Preiswerk F, Toews M, Hoge WS, Chiou J-yG, Panych LP, Wells III WM, Madore B. Hybrid ultrasound 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, 2015:315-322. NIHMSID:NIHMS765239
- Preiswerk F, Cheng C-C, Luo J, Madore B. Synthesizing dynamic MRI using long-term recurrent convolutional networks. Conf. on Machine Learning in Medical Imaging 2018
Invited presentations
2022 (upcoming): Oxford, UK. Prospective motion tracking and prospective sequences for body imaging. ISMRM workshop on Motion Detection and Correction.
2021: Virtual meeting. Ultrasound-based sensors to monitor internal motion. AI4US: Unlocking the potential of Artificial Intelligence for Ultrasound image processing. IEEE-EMBS international Conference on Biomedical and Health Informatics, jointly organized with the IEEE International Conference on Wearable and Implantable Body Sensor Network.
2019: Montréal, Québec, Canada. Motion correction with external sensors. Educational session at the 2019 ISMRM meeting.
2019: Boston, MA, USA. Ultrasound-based sensors for enhanced medical imaging performance. World Medical Innovation Forum.
2018: NYU, New York, NY, USA. Hybrid MRI-ultrasound acquisitions. ISMRM-sponsored workshop ‘i2i from innovation to implementation in imaging’.
2018: Boston, MA. Sensors to track the 3D position and orientation of US imaging probes. NCIGT workshop on Image-Guided Therapy.
2018: Proctor Academy in Andover, NH, USA. The instrumented scanner. Gordon Research Conference on In Vivo Magnetic Resonance.
2018: Paris, France. Concurrent MRI: Imaging of real-time events. Educational session at the 2018 ISMRM meeting.
Abstracts (last 5 years)
- Willey D, Dickinson O, Overson D, Truong T-K, Robb F, Song A, Madore B, and Darnell D. 2022. “Wireless Physiological Motion Monitoring with an Integrated RF/Wireless Coil Array and MR-Compatible Ultrasound-Based System. Summa Cum Laude Award.” Proceedings of the International Society of Magnetic Resonance in Medicine. London, UK.
- Madore B, Cheng C-C, and Preiswerk F. 2021. “A compact and clonable ultrasound-based sensor system to monitor physiological motion.” Proceedings of the International Society of Magnetic Resonance in Medicine. Virtual Meeting.
- Willey D, Bresticker J, Truong T-K, Song A, Madore B, and Darnell D. 2020. “Integrated RF/Wireless Coil and Ultrasound-Based Sensors to Enable Wireless Physiological Motion Monitoring in MRI.” Proceedings of the International Society of Magnetic Resonance in Medicine. Virtual Meeting.
- Madore B, Preiswerk F, Bredfeldt J, Zong S, and Cheng C-C. 2020. “Motion monitoring using MR-compatible ultrasound-based sensors.” Proceedings of the International Society of Magnetic Resonance in Medicine. Virtual Meeting.
- 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.
- Kwon J, Cheng C-C, Madore B, Shimizu S, Shirato H, and Bredfeldt J. 2019. “Enabling MRI-guided Radiation Therapy of the Pancreas with MRI Compatible Ultrasound Sensors.” Proceedings of the 61st Annual Meeting of American Association of Physicists in Medicine. San Antonio, USA.
- B Madore, C-C Cheng, and F Preiswerk. 2019. “Ultrasound-based sensors for enhanced medical imaging performance.” World Medical Innovation Forum. Boston, MA, USA.
- P-H Wu, C-C Cheng, F Preiswerk, and B Madore. “Application of hybrid MR-ultrasound imaging to multi-baseline thermometry.” Proceedings of the International Society of Magnetic Resonance in Medicine 2018. Paris, France: p. 1493.
- B Madore, C-C Cheng, and F Preiswerk. 2018. “Ultrasound-based sensors, for enhanced medical imaging.” Proceedings of the fourteenth annual retreat of the Broad Institute 2018. 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. “Ultrasound-based sensors for motion correction of PET data.” Proceedings of the Society of Nuclear Medicine and Molecular Imaging 2018. Philadelphia, PA, USA.
- B Madore, C-C Cheng, and F Preiswerk. “Ultrasound-based sensors for physiological motion monitoring.” Proceedings of the International Society of Magnetic Resonance in Medicine 2018. Paris, France: p. 1004.
- F Preiswerk, M Toews, C-C Cheng, Jr-y Chiou, C-S Mei, L Schaefer, WS Hoge, B Schwartz, LP Panych, and B Madore. 2017. “Hybrid MRI-Ultrasound Acquisitions, and Scannerless Real-Time Imaging.” Proceedings of the International Society of Magnetic Resonance in Medicine 2017. Honolulu, USA: p. 0033.
- P-H Wu, F Preiswerk, C-C Cheng, B Madore. “Hybrid MR-ultrasound acquisition for multi-baseline thermometry.” Proceedings of the International Society of Magnetic Resonance in Medicine 2017. Honolulu, USA, p. 2587.
- F Preiswerk, J Cai, C-C Cheng, WS Hoge, P-H Wu, LP Panych, B Madore. “RF-sensing for Trigger-based Synchronization of Auxiliary Devices, and Pulse-sequence Debugging.” Proceedings of the International Society of Magnetic Resonance in Medicine 2017. Honolulu, USA, p. 4444.
- WS Hoge, F Preiswerk, JR Polimeni, SS Yengul, P Aksit Ciris, B Madore. “Ultrasound Monitoring of a Respiratory Phantom for the Development and Validation of Segmented EPI Reconstruction Methods.” Proceedings of the International Society of Magnetic Resonance in Medicine 2017. Honolulu, USA, p. 1307.
- F Preiswerk, C-C Cheng, P-H Wu, LP Panych, B Madore. “Ultrasound-based cardiac gating for MRI.” Proceedings of the International Society of Magnetic Resonance in Medicine 2017. Honolulu, USA, p. 4443.