Technical overview of magnetic resonance fingerprinting and its applications in radiation therapy

Chen, Yong; Lu, Lihua; Zhu, Tong; Ma, Dan

doi:10.1002/mp.15254

Cited by 9 publications

(16 citation statements)

References 100 publications

(219 reference statements)

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“…Also, it may not be cost-effective to use the MRI capabilities of a MRI-Linac to perform specialized assessments when treatment throughput is an important criterion of successful implementation of this technology. Magnetic resonance fingerprinting, still in its relative infancy, allows the simultaneous measurement of multiple tissue properties in a single, time-efficient manner, and may permit serial assessments of responses to radiation treatment to be gathered during the re-planning guided by anatomic information (115,116). It remains to be confirmed if serial short acquisitions during daily treatment can provide oncologically important information to help with guiding treatment recommendations for patients with CNS malignancies.…”

Section: Central Nervous System Tumorsmentioning

confidence: 99%

MRI-LINAC: A transformative technology in radiation oncology

Gregucci²,

Pennell³

et al. 2023

Front. Oncol.

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Advances in radiotherapy technologies have enabled more precise target guidance, improved treatment verification, and greater control and versatility in radiation delivery. Amongst the recent novel technologies, Magnetic Resonance Imaging (MRI) guided radiotherapy (MRgRT) may hold the greatest potential to improve the therapeutic gains of image-guided delivery of radiation dose. The ability of the MRI linear accelerator (LINAC) to image tumors and organs with on-table MRI, to manage organ motion and dose delivery in real-time, and to adapt the radiotherapy plan on the day of treatment while the patient is on the table are major advances relative to current conventional radiation treatments. These advanced techniques demand efficient coordination and communication between members of the treatment team. MRgRT could fundamentally transform the radiotherapy delivery process within radiation oncology centers through the reorganization of the patient and treatment team workflow process. However, the MRgRT technology currently is limited by accessibility due to the cost of capital investment and the time and personnel allocation needed for each fractional treatment and the unclear clinical benefit compared to conventional radiotherapy platforms. As the technology evolves and becomes more widely available, we present the case that MRgRT has the potential to become a widely utilized treatment platform and transform the radiation oncology treatment process just as earlier disruptive radiation therapy technologies have done.

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Section: Central Nervous System Tumorsmentioning

confidence: 99%

MRI-LINAC: A transformative technology in radiation oncology

Gregucci²,

Pennell³

et al. 2023

Front. Oncol.

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“…Because of flexibility in sequence designs and multiproperty mapping, MRF may be beneficial for radiation therapy treatment planning protocols for longitudinal assessment of changes in primary brain tumoral properties 54 . The feasibility of MRF has been demonstrated on both high- and low-field strength hybrid MR-guided linear accelerators used for radiation therapy 55,56 .…”

Section: Current Clinical Applicationsmentioning

confidence: 99%

“…53 Because of flexibility in sequence designs and multiproperty mapping, MRF may be beneficial for radiation therapy treatment planning protocols for longitudinal assessment of changes in primary brain tumoral properties. 54 The feasibility of MRF has been demonstrated on both high-and low-field strength hybrid MR-guided linear accelerators used for radiation therapy. 55,56 Because MRF on MR-guided linear accelerator systems has been shown to be technically feasible, able to pick up subtle quantitative changes, and adds little scan time, there is potential for monitoring of posttherapy change and possible image-guided dose plan adaptation in the future.…”

Section: Technical Overviewmentioning

confidence: 99%

Magnetic Resonance Fingerprinting

et al. 2023

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Magnetic Resonance (MR) is an exceptionally powerful and versatile measurement technique. The basic structure of an MR experiment has remained nearly constant for almost 50 years. Here we introduce a novel paradigm, Magnetic Resonance Fingerprinting (MRF) that permits the noninvasive quantification of multiple important properties of a material or tissue simultaneously through a new approach to data acquisition, post-processing and visualization. MRF provides a new mechanism to quantitatively detect and analyze complex changes that can represent physical alterations of a substance or early indicators of disease. MRF can also be used to specifically identify the presence of a target material or tissue, which will increase the sensitivity, specificity, and speed of an MR study, and potentially lead to new diagnostic testing methodologies. When paired with an appropriate pattern recognition algorithm, MRF inherently suppresses measurement errors and thus can improve accuracy compared to previous approaches.

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“…In [ 15 ], the authors discussed technical developments at the intersection of artificial intelligence and MRF for cardiac imaging. In [ 16 ], the authors discussed challenges and recent developments in integrating MRF into the radiotherapy pipeline. In [ 7 ], the authors summarized the latest findings and technological developments for the use of MRF in cancer management and suggested possible future implications of MRF in characterizing tumor heterogeneity and response assessment.…”

Section: Introductionmentioning

confidence: 99%

Emerging Trends in Magnetic Resonance Fingerprinting for Quantitative Biomedical Imaging Applications: A Review

Monga,

Singh,

de Moura

et al. 2024

Bioengineering

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Magnetic resonance imaging (MRI) stands as a vital medical imaging technique, renowned for its ability to offer high-resolution images of the human body with remarkable soft-tissue contrast. This enables healthcare professionals to gain valuable insights into various aspects of the human body, including morphology, structural integrity, and physiological processes. Quantitative imaging provides compositional measurements of the human body, but, currently, either it takes a long scan time or is limited to low spatial resolutions. Undersampled k-space data acquisitions have significantly helped to reduce MRI scan time, while compressed sensing (CS) and deep learning (DL) reconstructions have mitigated the associated undersampling artifacts. Alternatively, magnetic resonance fingerprinting (MRF) provides an efficient and versatile framework to acquire and quantify multiple tissue properties simultaneously from a single fast MRI scan. The MRF framework involves four key aspects: (1) pulse sequence design; (2) rapid (undersampled) data acquisition; (3) encoding of tissue properties in MR signal evolutions or fingerprints; and (4) simultaneous recovery of multiple quantitative spatial maps. This paper provides an extensive literature review of the MRF framework, addressing the trends associated with these four key aspects. There are specific challenges in MRF for all ranges of magnetic field strengths and all body parts, which can present opportunities for further investigation. We aim to review the best practices in each key aspect of MRF, as well as for different applications, such as cardiac, brain, and musculoskeletal imaging, among others. A comprehensive review of these applications will enable us to assess future trends and their implications for the translation of MRF into these biomedical imaging applications.

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Technical overview of magnetic resonance fingerprinting and its applications in radiation therapy

Cited by 9 publications

References 100 publications

MRI-LINAC: A transformative technology in radiation oncology

MRI-LINAC: A transformative technology in radiation oncology

Magnetic Resonance Fingerprinting

Emerging Trends in Magnetic Resonance Fingerprinting for Quantitative Biomedical Imaging Applications: A Review

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