Feasibility Study of Permanent Magnet-Based Tumor Tracking Technique for Precise Lung Cancer Radiotherapy

Dai, Houde; Dong, L.; Lv, Bowen; Chen, Yuangui; Song, Shuang; Su, Shi‐Jian

doi:10.1109/tim.2020.3039645

Cited by 21 publications

(1 citation statement)

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“…Due to the low imaging speed or radiological hazard of traditional imaging techniques, the common method is to evaluate the motion based on several specific statuses during the breathing cycle, e.g. the end-inspiration and end-expiration (peak-to-peak) statuses [11], [12]. However, the temporal resolution of the image is low due to a lack of accurate dynamic information.…”

Section: Take Down Policymentioning

confidence: 99%

Exploring Respiratory Motion Tracking Through Electrical Impedance Tomography

Wang

et al. 2021

IEEE Trans. Instrum. Meas.

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Motion tracking is an effective approach for the management of respiratory motion during the medical imaging process, which has always been a major concern in diagnostic imaging, interventional, and non-invasive therapy. However, the low imaging speed of traditional medical imaging techniques limits the practical application of real-time motion tracking. Electrical impedance tomography (EIT) is proved to be an effective tool for continuous monitoring of lung activity/status. However, the respiratory motion has never been studied in the medical EIT field before. In this paper, preliminary research of lung movement during the respiratory process is first studied based on EIT. Multi-ring electrode thorax models under different respiratory statuses were constructed to obtain simulation data of EIT. A modified TV algorithm is used for the estimation of lung volume and movement based on 3D EIT images, which improve the quality of reconstruction by approximately 30% and 20% compared with the traditional Tikhonov method and the total variation (TV) method, respectively. Both simulations and experiments were conducted to show the potential of respiratory motion tracking through 3D EIT reconstruction.

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Section: Take Down Policymentioning

confidence: 99%