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Artificial Intelligence in Adaptive Radiation Therapy
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IOP Publishing
Artificial Intelligence in Adaptive Radiation Therapy
Yi Wang and X. Sharon Qi
Chapter 16
Artificial intelligence in MRI-guided adaptive
radiation therapy
Lauren Smith, Yao Zhao, Jinzhong Yang and X. Sharon Qi
Adaptive radiation therapy (ART) is a process where a personalized treatment plan may be created for each fraction based on daily imaging information. ART is growing in popularity and has been shown to improve the therapeutic ratio for certain RT sites. In particular, the introduction of MR-linac systems in radiation therapy has allowed for high-quality, real-time MR images to be used to facilitate adaptive treatment. Articial intelligence (AI) has recently been introduced as a tool in modern radiation therapy and may provide a solution to some challenges that currently burden the efciency of MR-guided ART. This chapter provides an overview of clinically available MR-guided ART systems and techniques. Further, clinical challenges associated with MR-guided ART, such as synthetic CT gen­eration, auto-segmentation, and image registration, will be introduced and the integration of AI solutions into the MR-guided ART domain will be explored.

16.1 Introduction

Radiation therapy (RT) is currently one of the mainstays of cancer treatment, with approximately 50% or higher of all cancer patients receiving RT during their treatment [1]. Image-guided radiation therapy (IGRT) has become the standard RT practice to enable accurate and precise delivery, leading to the widening of the therapeutic ratio [2, 3]. Various imaging technologies, such as computed tomog­raphy (CT), magnetic resonance imaging (MRI), and positron emission tomography (PET), are used to guide RT to precisely deliver the dose to targets while avoiding unnecessary dose to nearby critical structures [3]. CT-guided RT, a type of radiation therapy using CT-based technology, is used to guide the delivery of radiation beams to the tumor, ensuring accurate targeting [3]. The latest development of combining PET-CT and radiotherapy delivery involves using biological markers or character­istics of tumors to guide the delivery of radiation treatment, allowing radiation therapy to be tailored more specically to the individual characteristics of the tumor
doi:10.1088/978-0-7503-6119-4ch16 16-1 ª IOP Publishing Ltd 2025. All rights,
including for text and data mining (TDM), artificial intelligence (AI) training, and similar technologies, are reserved.
Artificial Intelligence in Adaptive Radiation Therapy
and patient to potentially improve treatment outcomes and minimize side effects [4]. Recent development of magnetic resonance-guided radiation therapy (MRgRT) integrates advanced MRI technology with a radiation therapy delivery system, providing a paradigm change in aspects of treatment planning, monitoring, and adaptation. Compared to CT-guided RT, MRgRT provides advantages such as superior soft-tissue contrast, organ motion visualization, and the ability to monitor tumor and tissue physiologic changes [5].
Adaptive radiation therapy (ART) is a closed-loop radiation treatment process where the initial treatment plan may be modied, via frequent imaging acquisition such as daily imaging, using systematic feedback of measurements [6]. ART is expected to maximize the therapeutic ratio by further increasing tumor dose while maintaining or reducing normal tissue complication.

16.2 Overview of MRI-guided ART systems

MRI-guided adaptive therapy is an advanced approach that utilizes real-time MRI during treatment sessions to guide and adapt the delivery of radiation based on changes in the tumor and surrounding anatomy. Real-time MRI provides detailed information about the tumor and surrounding tissues, allowing for adjustments to be made to the radiation treatment plan as needed.
The MRgRT technique allows for precise targeting of tumors while minimizing radiation exposure to healthy tissues, leading to an improved therapeutic ratio. In addition, MRgRT provides superior soft-tissue contrast compared to CT guidance and is capable of providing different contrast based on the sequences used. Unlike CBCT on the linac, MRgRT has the advantage of being able to acquire images while the treatment beam is on, enabling real-time monitoring of organ motion without the need for implanted ducials or surrogate motion management systems.
16.2.1 High eld MRI system
Elekta Unity (Elekta AB, Stockholm, Sweden) is the worlds rst high-eld MR­linac that integrates a 7 MV attening lter-free (FFF) linear accelerator system with a 1.5 tesla Philips (Philips Healthcare, Best, the Netherlands) MRI system [7]. The system received the CE mark in June 2018 and FDA approval in December 2018 [8]. The Unity system is designed as a bore-type machine with a linac system that rotates around the MRI system and has an inner bore diameter of 70 cm (gure 16.1)[9]. Due to this design, the system has a source axis distance (SAD) of
143.5 cm and a maximum eld size of 57.4 cm × 22.0 cm. The radiation beam is perpendicular to the magnetic eld orientation. The diaphragms dene the cross­plane eld size while the multi-leaf collimator (MLC) leaves move in the in-plane direction to shape the eld, parallel to the magnet bore. The MLC has 160 leaves with a nominal leaf width of 0.7175 cm. The treatment couch moves in the longitudinal direction only; however, during treatment the couch is not designed to move to adjust treatment iso-center location. Instead, online adaptive planning can be utilized to account for iso-center shifts. The system offers an integrated online adaptive planning workow implemented with online Moncaco, a Monte Carlo
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Artificial Intelligence in Adaptive Radiation Therapy
Figure 16.1. (a) Elekta Unity components, IEC61217 coordinate system, and B-eld direction. (b) Cross- section of the beam delivery system and the magnet. The main B0 eld has its vector directed out of the bore (negative IECY axis). (Reproduced from [
9]. CC BY 3.0.)
based treatment planning system (TPS) that optimizes and calculates the dose distribution in the presence of a magnetic eld [10]. The system is also capable of real-time tumor tracking, allowing simultaneous MR imagining and treatment delivery. In its rst version, the Unity system offered only tumor motion monitoring [11]. In late 2023, Elekta released the comprehensive motion management (CMM) system, allowing for different levels of motion management, including beam gating,
16-3
Artificial Intelligence in Adaptive Radiation Therapy
for better control of respiratory motion and other motion uncertainty during treatment delivery [12]. It is also worth noting that due to the high strength of the magnetic eld, the beam prole is inherently off-central and asymmetric. In addition, the electron return effect (ERE) resulting from the magnetic eld causes electrons to change trajectory to returnto a higher density material at the interface of exiting a higher density material into a lower density material [13].
16.2.2 Low-eld MRI system
The ViewRay MRIdian (Oakwood, Cleveland, OH), shown in gure 16.2, is one of the two currently commercially available MRgRT platforms. In contrast to Elektas Unity, the ViewRay system makes use of a 0.35 tesla low-eld MRI scanner for MRI-guided treatment. This system paved the way for clinical MRgRT, being the rst MR-linac device to gain FDA approval in 2012 [14]. The initial system was designed with cobalt-60 sources for irradiation and was later integrated with a linear accelerator, which was cleared by the FDA in 2017 [14]. The MRIdian design consists of a split-bore superconducting magnet with a 70 cm bore diameter perpendicular to a linear accelerator capable of producing 6 MV FFF photon treatment beams [15]. The MRIdian is capable of producing coplanar static IMRT elds and can deliver dose at 650 MU/min with a 0.5 rpm gantry rotation [5]. Currently, the MRIdian uses a balanced steady state free precession pulse sequence for MRI that may be used for treatment planning, set-up verication, and imaging during delivery [5]. Compared to the high-eld MR-linac, the 0.35 T MRIdian has the disadvantage of lower image signal–noise ratio (SNR), but the advantages of diminished magnetic susceptibility artifacts, smaller geometric distortion in MR images, and a more minimal electron return effectresulting in less perturbations to the dose distribution [14]. A signicant benet of the MRIdian system is its ability for real-time imaging during treatment while the radiation beam is on, enabling high-quality monitoring of intrafraction motion during treatment. This feature allows for real-time tracking and automatic gating based on user dened boundaries where the 2D motion is evaluated from a sagittal cine image [5]. Additionally, unlike conventional linacs, the MRIdian has functionality for online adaptive therapy
Figure 16.2. (a) Schematic of the Viewray MRIdian system and (b) gantry with linac components. (Reproduced with permission from [
16]. Copyright 2019 Elsevier.)
16-4