Combined ultra-low-field MRI and MEG: instrumentation and applications
نویسندگان
چکیده
Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Panu Vesanen Name of the doctoral dissertation Combined ultra-low-field MRI and MEG: instrumentation and applications Publisher School of Science Unit Department of Biomedical Engineering and Computational Science Series Aalto University publication series DOCTORAL DISSERTATIONS 87/2013 Field of research Biomedical Engineering and Biophysics Manuscript submitted 11 January 2013 Date of the defence 24 May 2013 Permission to publish granted (date) 10 April 2013 Language English Monograph Article dissertation (summary + original articles) Abstract Magnetic resonance imaging (MRI) is a noninvasive method that allows the study of the interior structure of matter. Today, MRI is widely used in medical diagnosis and research, thanks to its versatile contrast and the lack of ionizing radiation. Conventionally, the signal-tonoise ratio of an MRI measurement scales with the strength of the applied magnetic field. This has driven the development of MRI scanners towards fields of 3 T and above. Ultra-low-field (ULF) MRI is an emerging technology that uses microtesla-range magnetic fields for image formation. The low signal-to-noise ratio is partly compensated for by prepolarizing the sample in a field of 1 – 200 mT and using superconducting quantum interference devices (SQUIDs) for signal detection. Advantages of ULF MRI include unique low-field contrast mechanisms, flexibility in the sequence design, and the possibility to construct a silent scanner with an open geometry. ULF MRI is also compatible with magnetoencephalography (MEG), which uses SQUIDs to record the magnetic field produced by neuronal activity. With a hybrid scanner combining MEG and MRI, both the structure and function of the human brain can be studied with a single device. In this Thesis, a hybrid MEG-MRI device was designed, constructed, and tested. The system is based on a commercial whole-head MEG device that was modified to accommodate ULFMRI functionality. In particular, the effects of the various magnetic fields applied inside a magnetically shielded room were studied. To prevent the harmful effects of the eddy currents caused by changing magnetic fields, a self-shielded polarizing coil was designed and constructed. Moreover, the conventional SQUID design was modified in order to develop sensor modules that tolerate the relatively strong polarizing field. Finally, the device was used to measure MEG data and ULF-MR images of the human brain. In addition to the instrumentation development, several applications of ULF MRI were investigated. A method for imaging electric current density was presented. The technique takes advantage of the flexibility of ULF MRI by encoding the signal in zero magnetic field. Furthermore, the temperature dependence of the MRI relaxation times was studied. Drastic variations were found as a function of the field strength. The results were used to reconstruct temperature maps using ULF MRI. The results presented in this Thesis demonstrate that upgrading MRI functionality into an existing commercial MEG device is a feasible concept. Such a device has the potential to enable new methods and paradigms for neuroscientific research. The possibility of taking advantage of the unique low-field contrast is an interesting subject for further research.Magnetic resonance imaging (MRI) is a noninvasive method that allows the study of the interior structure of matter. Today, MRI is widely used in medical diagnosis and research, thanks to its versatile contrast and the lack of ionizing radiation. Conventionally, the signal-tonoise ratio of an MRI measurement scales with the strength of the applied magnetic field. This has driven the development of MRI scanners towards fields of 3 T and above. Ultra-low-field (ULF) MRI is an emerging technology that uses microtesla-range magnetic fields for image formation. The low signal-to-noise ratio is partly compensated for by prepolarizing the sample in a field of 1 – 200 mT and using superconducting quantum interference devices (SQUIDs) for signal detection. Advantages of ULF MRI include unique low-field contrast mechanisms, flexibility in the sequence design, and the possibility to construct a silent scanner with an open geometry. ULF MRI is also compatible with magnetoencephalography (MEG), which uses SQUIDs to record the magnetic field produced by neuronal activity. With a hybrid scanner combining MEG and MRI, both the structure and function of the human brain can be studied with a single device. In this Thesis, a hybrid MEG-MRI device was designed, constructed, and tested. The system is based on a commercial whole-head MEG device that was modified to accommodate ULFMRI functionality. In particular, the effects of the various magnetic fields applied inside a magnetically shielded room were studied. To prevent the harmful effects of the eddy currents caused by changing magnetic fields, a self-shielded polarizing coil was designed and constructed. Moreover, the conventional SQUID design was modified in order to develop sensor modules that tolerate the relatively strong polarizing field. Finally, the device was used to measure MEG data and ULF-MR images of the human brain. In addition to the instrumentation development, several applications of ULF MRI were investigated. A method for imaging electric current density was presented. The technique takes advantage of the flexibility of ULF MRI by encoding the signal in zero magnetic field. Furthermore, the temperature dependence of the MRI relaxation times was studied. Drastic variations were found as a function of the field strength. The results were used to reconstruct temperature maps using ULF MRI. The results presented in this Thesis demonstrate that upgrading MRI functionality into an existing commercial MEG device is a feasible concept. Such a device has the potential to enable new methods and paradigms for neuroscientific research. The possibility of taking advantage of the unique low-field contrast is an interesting subject for further research.
منابع مشابه
SQUID-based Systems for Co-registration of Ultra-Low Field Nuclear Magnetic Resonance Images and Magnetoencephalography
The ability to perform MRI in ultra-low magnetic fields (ULF) of ~100 μT, using superconducting quantum interference device (SQUID) detection, has enabled a new class of magnetoencephalography (MEG) instrumentation capable of recording both anatomical (via the ULF MRI) and functional (biomagnetic) information about the brain. The combined ULF MRI/MEG instrument allows both structural and functi...
متن کاملMethod development for ultra-low-field magnetic resonance imaging and magnetoencephalography
Aalto University, P.O. Box 11000, FI-00076 Aalto www.aalto.fi Author Juhani Dabek Name of the doctoral dissertation Method development for ultra-low-field magnetic resonance imaging and magnetoencephalography Publisher School of Science Unit Department of Biomedical Engineering and Computational Science Series Aalto University publication series DOCTORAL DISSERTATIONS 42/2014 Field of research ...
متن کاملImpact of Superconducting Devices on Imaging in Neuroscience
This paper provides an overview on the basic principle and applications of magnetoencephalography, which requires the use of many SQUID channels and thus represents one of the more important application of superconducting electronic devices. This paper is divided into 8 sections. Section 1 is an overview of the MEG technique. Section 2 provides a short historical background on the method. Secti...
متن کاملMulti-sensor system for simultaneous ultra-low-field MRI and MEG
Magnetoencephalography (MEG) and magnetic resonance imaging at ultra-low fields (ULF MRI) are two methods based on the ability of SQUID (superconducting quantum interference device) sensors to detect femtotesla magnetic fields. Combination of these methods will allow simultaneous functional (MEG) and structural (ULF MRI) imaging of the human brain. In this paper, we report the first implementat...
متن کاملPerformance of Squid Sensor Arrays for Mri of the Brain
Introduction While the state of the art in MRI has moved towards stronger magnetic fields, another approach has emerged, where the precession field is typically around 100 μT [1]. The signal is detected using a superconducting quantum interference device (SQUID), which outperforms an induction coil by orders of magnitude in sensitivity at kHz frequencies and below [2]. This ultra-low-field MRI ...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
دوره شماره
صفحات -
تاریخ انتشار 2013