RAD-AR: RADiotherapy - Augmented Reality

Cosentino, Francesco; John, Nigel W.; Vaarkamp, J.

doi:10.1109/cw.2017.56

Cited by 9 publications

(6 citation statements)

References 6 publications

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“…In this study, an innovative AR-assisted radiotherapy positioning system was developed with HoloLens 2 as the only core hardware and provided patient tracking and virtual coordinate indication for radiation therapist, instead of relying on the human eye for virtual-real alignment ( 12 – 14 , 16 ). Compared with the related works, this improves the convenience ( 12 , 16 ), accuracy ( 17 ), and practicality of AR guidance systems. The feasibility and accuracy of this method were evaluated in the actual clinical environment.…”

Section: Discussionmentioning

confidence: 91%

Development and feasibility evaluation of an AR-assisted radiotherapy positioning system

et al. 2022

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PurposeThe aim of this study is to develop an augmented reality (AR)–assisted radiotherapy positioning system based on HoloLens 2 and to evaluate the feasibility and accuracy of this method in the clinical environment.MethodsThe obtained simulated computed tomography (CT) images of an “ISO cube”, a cube phantom, and an anthropomorphic phantom were reconstructed into three-dimensional models and imported into the HoloLens 2. On the basis of the Vuforia marker attached to the “ISO cube” placed at the isocentric position of the linear accelerator, the correlation between the virtual and real space was established. First, the optimal conditions to minimize the deviation between virtual and real objects were explored under different conditions with a cube phantom. Then, the anthropomorphic phantom–based positioning was tested under the optimal conditions, and the positioning errors were evaluated with cone-beam CT.ResultsUnder the normal light intensity, the registration and tracking angles are 0°, the distance is 40 cm, and the deviation reached a minimum of 1.4 ± 0.3 mm. The program would not run without light. The hologram drift caused by the light change, camera occlusion, and head movement were 0.9 ± 0.7 mm, 1.0 ± 0.6 mm, and 1.5 ± 0.9 mm, respectively. The anthropomorphic phantom–based positioning errors were 3.1 ± 1.9 mm, 2.4 ± 2.5 mm, and 4.6 ± 2.8 mm in the X (lateral), Y (vertical), and Z (longitudinal) axes, respectively, and the angle deviation of Rtn was 0.26 ± 0.14°.ConclusionThe AR-assisted radiotherapy positioning based on HoloLens 2 is a feasible method with certain advantages, such as intuitive visual guidance, radiation-free position verification, and intelligent interaction. Hardware and software upgrades are expected to further improve accuracy and meet clinicalbrendaannmae requirements.

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Section: Discussionmentioning

confidence: 91%

Development and feasibility evaluation of an AR-assisted radiotherapy positioning system

et al. 2022

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“…In 2014, French 19 proposed combining AR with a breast radiotherapy position setup that used a breast gelatin model to simulate the availability of AR‐guiding positioning in patients. The RAD‐AR system developed by Cosemtino 20 in 2017 showed remarkable potential in the application of AR in radiotherapy. However, due to technical limitations, the technologies used in these works were demonstrated only with a RANDO phantom setup but were not applied in the actual radiotherapy process and could not reconstruct the information of important target areas, such as PTV.…”

Section: Discussionmentioning

confidence: 99%

Augmented reality‐guided positioning system for radiotherapy patients

et al. 2022

J Applied Clin Med Phys

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In modern radiotherapy, error reduction in the patients’ daily setup error is important for achieving accuracy. In our study, we proposed a new approach for the development of an assist system for the radiotherapy position setup by using augmented reality (AR). We aimed to improve the accuracy of the position setup of patients undergoing radiotherapy and to evaluate the error of the position setup of patients who were diagnosed with head and neck cancer, and that of patients diagnosed with chest and abdomen cancer. We acquired the patient's simulation CT data for the three‐dimensional (3D) reconstruction of the external surface and organs. The AR tracking software detected the calibration module and loaded the 3D virtual model. The calibration module was aligned with the Linac isocenter by using room lasers. And then aligned the virtual cube with the calibration module to complete the calibration of the 3D virtual model and Linac isocenter. Then, the patient position setup was carried out, and point cloud registration was performed between the patient and the 3D virtual model, such the patient's posture was consistent with the 3D virtual model. Twenty patients diagnosed with head and neck cancer and 20 patients diagnosed with chest and abdomen cancer in the supine position setup were analyzed for the residual errors of the conventional laser and AR‐guided position setup. Results show that for patients diagnosed with head and neck cancer, the difference between the two positioning methods was not statistically significant (P > 0.05). For patients diagnosed with chest and abdomen cancer, the residual errors of the two positioning methods in the superior and inferior direction and anterior and posterior direction were statistically significant (t = −5.80, −4.98, P < 0.05). The residual errors in the three rotation directions were statistically significant (t = −2.29 to −3.22, P < 0.05). The experimental results showed that the AR technology can effectively assist in the position setup of patients undergoing radiotherapy, significantly reduce the position setup errors in patients diagnosed with chest and abdomen cancer, and improve the accuracy of radiotherapy.

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“…It is suggested that the use of such a tool would enable patients better visualize their tumor and understand the importance of some specific issues related to radiation therapy, such as adherence with instructions around bladder filling and rectal suppositories, etc. 24 , 25 The enhancement of such materials and their personalization to the institution and team will probably improve patients’ familiarity with radiation therapy by offering a 3-dimensional virtual immersion mimicking the real-life experience. 26 One can expect that in near future, patients will be able to benefit from fully customizable virtual education program as part of the progress in telemedicine.…”

Section: Discussionmentioning

confidence: 99%

Site-Specific Education Using Digital Media to Improve Patient Understanding of the Radiotherapy Trajectory: An Interventional Study

Almerdhemah

Mulla

Muamenah

et al. 2021

Advances in Radiation Oncology

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The study assessed the effectiveness of a site-specific video educational material in improving patient understanding and confidence regarding radiation therapy trajectory. Methods and Materials: A quasi experimental longitudinal pretest posttest study was conducted at a referral radiation therapy center from May 2020 to September 2020. It included 52 adult patients admitted for a first course radical radiation therapy. One generic and 6 site-specific (breast, pelvis, head and neck, brain, chest and abdomen, and bladder) animated cartoon videos were developed in house to provide concise overview of the overall patient's trajectory in radiation therapy, with full visual description of the procedures and specific preparation measures. A 14-item questionnaire was designed to assess pre-and postintervention levels of understanding and confidence of patients, with calculation of and an understanding and confidence score (UCS), range 0-14. Results: The mean (standard deviation) UCS in pre-and postintervention was 9.36 (2.48) and 11.92 (1.34) out of 14, respectively, indicating a mean increase of 2.57 subsequent to the intervention (P < .001). The effect size was large with a Cohen's d = 1.01. Of the 14 dimensions explored, 8 were observed to have remarkable improvement, notably understanding the purpose of the tattoo mark, reason of daily or weekly imaging, and what to expect with radiation therapy. Participants with poor reading ability had greater increase in UCS (DUCS = 4.25 vs ≤2.33) and in 5 out of 8 dimensions with remarkable improvement. Conclusions: The use of digital educational material in radiation oncology meets the urgent need for providing patients with concise and site-specific information, while sparing extra hospital visits to meet education coordinators during the COVID-19 crisis. Additional studies are warranted to assess both the clinical and long-term effectiveness of the educational material, using a longitudinal controlled design.

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RAD-AR: RADiotherapy - Augmented Reality

Cited by 9 publications

References 6 publications

Development and feasibility evaluation of an AR-assisted radiotherapy positioning system

Development and feasibility evaluation of an AR-assisted radiotherapy positioning system

Augmented reality‐guided positioning system for radiotherapy patients

Site-Specific Education Using Digital Media to Improve Patient Understanding of the Radiotherapy Trajectory: An Interventional Study

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