FastMRT

FastMRT is a collaborative research project that aims to improve the speed and quality of MRI scans for thermometery. Our goal is to make MRI scans up faster while maintaining or even improving image quality.

About FastMRT

FastMRT is a collaborative research project that aims to improve the speed and quality of MRI scans for thermometery.

Our team of researchers and engineers are working on developing new machine learning algorithms to achieve this goal. We are also working with clinical partners to validate our methods and ensure that they are safe and effective for patients.

If you are interested in learning more about our research or collaborating with us, please contact us at fastmr.thermometry@gmail.com.

Latest News

  • FastMRT Codes is Available
    June 1, 2023

    We public the github codes at https://github.com/minipuding/FastMRT.

  • FastMRT Dataset Release
    May 1, 2023

    The FastMRT dataset is now available for download! Visit our Datasets page to learn more about phantom and ex vivo datasets.

  • FastMRT package Release
    May 2, 2023

    FastMRT package is released on PyPI. You can view at here or install by command `pip install fastmrt`.

Dataset

Our dataset was acquired through the application of a 128-element high-intensity focused ultrasound transducer (with a frequency of $1.1 MHz$, a focal length of $150 mm$, and a focal radius of $120 mm$), followed by imaging with a 3T MR system (Discovery MR750; GE Healthcare, Milwaukee, WI).

The images were obtained using the Fast Spoiled Gradient Echo (FSPGR) sequence, with 96 phase encoding steps, a TR/TE of $12/16 ms$, a flip angle of $30^\circ$, a slice thickness of $3mm$, a field of view (FOV) of $28\times 28 cm^2$, a Number of Excitation (NEX) of 1, and a bandwidth of $\pm62.5kHz$.

The dataset comprises of two distinct parts, namely in vivo heating data and ex vivo lean tissue heating data. For each part, there are 96 heating samples (consisting of 2186 slices) and 105 samples (consisting of 1623 slices), respectively, with each sample containing either 1 or 3 layers.

The temperature change at the focus was approximately 30 degrees Celsius, and the focus position was consistently located at the center of the image.

In order to enhance the speed of temperature measurement, we employed a smaller TR and fewer phase encoding steps, which led to lower signal-to-noise ratio and resolution of the acquired images. This underscores the significance of utilizing fast temperature measurement algorithms to compensate for the reduced image quality.

Contact Us

If you have any questions or comments about FastMRT, please contact us at fastmr.thermometry@gmail.com.

FastMRT © 2023

fastMRT Dataset Sharing Agreement



By registering for downloads from the fastMRT Dataset, I agree to this Dataset Sharing Agreement.
  1. The fastMRT Dataset is considered proprietary to and owned by School of Biomedical Engineering, Shanghai Jiao Tong University (BME-SJTU). Other than the rights granted herein, BME-SJTU retains all rights, title, and interest in the fastMRT Dataset.
  2. Subject to the provisions of this Agreement, BME-SJTU shall give to me access to and the right to download the fastMRT Dataset, and BME-SJTU hereby grants to me a non-exclusive, royalty-free license to use the fastMRT Dataset for internal research or educational purposes only and only as permitted by this Agreement. This Agreement conveys no other rights of any sort with respect to the fastMRT Dataset or the intellectual property rights embodied therein.
  3. I will receive a download link to access the fastMRT Dataset without charge for internal research or educational purposes only. The link will permit me to download a verbatim copy of the fastMRT Dataset solely for such use. I will NOT SHARE THE DOWNLOAD LINK to the fastMRT Dataset with others. If another user within my organization or elsewhere wishes to obtain a copy of and use the fastMRT Dataset, they must register as an individual user and comply with all the terms of this Agreement.
  4. I will use the fastMRT Dataset for internal research or educational purposes only and only as permitted by this Agreement.
  5. I further agree to:
    1. Use the fastMRT Dataset in compliance with all laws, governmental regulations and guidelines, including obtaining all approvals for the proposed use of the fastMRT Dataset to comply with federal, state, local and institutional policies and regulations.
    2. Not SELL OR OTHERWISE MONETIZE any portion or all of the fastMRT Dataset.
    3. Not DISTRIBUTE, PUBLISH, REPRODUCE, RETRANSMIT, COMMERCIALLY EXPLOIT, COPY OR OTHERWISE TRANSFER any portion or all of the fastMRT Dataset or any subsequent variables or data files derived from the fastMRT Dataset to any person or entity other than individuals under my direct supervision and other than for uses in academic publications and presentations with citations as provided in paragraph 6 below. I will ensure that no one will be allowed to take or send fastMRT Dataset to any other location, unless prior written permission is obtained from BME-SJTU.
    4. Require anyone who receives or has access to the fastMRT Dataset to agree to the same restrictions and conditions on the use and/or disclosure of the fastMRT Dataset that apply to me.
    5. Maintain the security and confidentiality of the fastMRT Dataset and use appropriate safeguards to prevent any unauthorized use or disclosure of the fastMRT Dataset.
  6. I will make no attempt to use the information in the fastMRT Dataset to identify the individual subjects or to contact such individuals or link the fastMRT Dataset with any other dataset.
  7. Except as contemplated by paragraph 7 above, I will not contact BME-SJTU or anyone at BME-SJTU concerning any individual subjects or seeking information about them.
  8. The fastMRT Dataset has not been reviewed or approved by the Food and Drug Administration, and is not provided for clinical use. In no event shall any data or images in the fastMRT Dataset or generated through the use of the fastMRT Dataset be used or relied upon in the diagnosis or provision of patient care.
  9. I will report to BME-SJTU any use or disclosure of the fastMRT Dataset that is not permitted by this Agreement or required by law within 5 business days of becoming aware of such use or disclosure.
  10. When I have completed my work using the fastMRT Dataset, I will destroy all copies of the fastMRT Dataset and retain no copies thereof.
  11. I understand that failure to abide by the terms of this Agreement will result in immediate termination of use as well as privileges to access the fastMRT DataSet. In the event that BME-SJTU determines that I have violated this Agreement or other impermissible use has been made, BME-SJTU may direct that I immediately destroy all copies of the fastMRT Dataset and retain no copies thereof even if I did not cause the violation or impermissible use.
  12. The fastMRT dataset is provided “as is”. BME-SJTU MAKES NO WARRANTIES, EXPRESS OR IMPLIED, INCLUDING ANY WARRANTIES OF MERCHANTABILITY AND FITNESS FOR A PARTICULAR PURPOSE OR OF NON-INFRINGEMENT, AND HEREBY DISCLAIMS THE SAME.
  13. In no event shall BME-SJTU, or BME-SJTU partners be liable for any use by me of the fastMRT Dataset resulting in any loss, claim, damage or liability, of whatsoever kind or nature, which may arise from or in connection with this AGREEMENT or the use, handling or storage of the fastMRT Dataset.
  14. I agree to indemnify, defend, and hold BME-SJTU and its affiliates and affiliated hospitals, and each of their trustees, directors, officers, representatives, partners, faculty, students, volunteers, employees, or agents (each, an “BME-SJTU Indemnitee”) harmless from any claims, losses or damages, including legal fees, arising out of or resulting from my access to and/or use of the fastMRT Dataset or any failure to abide by the terms of this Agreement, except to the extent caused by an BME-SJTU Indemnitee.
  15. This Agreement shall be governed by and interpreted in accordance with the laws of the People's Republic of China. The exclusive venue for any dispute relating to this Agreement shall be in the courts of Shanghai, China.


By entering my electronic signature here, I agree to the data use agreement above.


Please send your real name, affiliation, and email with the subject "FastMRT Data Set Request" to fastmr.thermometry@gmail.com. We will review your application within 24 hours and send the download link to the provided email.