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Nondeformed Ultrasound Image Production Method for Ultrasound-Guided Radiotherapy. | LitMetric

AI Article Synopsis

  • Ultrasound (US) images can be distorted during radiotherapy due to tissue deformation and misalignment with CT images, which hinders accurate treatment delivery.
  • A new method using pixel displacement is proposed to correct these deformations by analyzing pixel movements and aligning US with CT images more effectively.
  • Experiments showed significant improvements in correction accuracy for US images, with average errors reduced to around 0.86 mm and better alignment with CT images, demonstrating the method's effectiveness in enhancing radiotherapy outcomes.

Article Abstract

During ultrasound (US)-guided radiotherapy, the tissue is deformed by probe pressure, and the US image is limited by changes in tissue and organ position and geometry when the US image is aligned with computed tomography (CT) image, leading to poor alignment. Accordingly, a pixel displacement-based nondeformed US image production method is proposed. The correction of US image deformation is achieved by calculating the pixel displacement of an image. The positioning CT image (CT) is used as the gold standard. The deformed US image (US) is inputted into the Harris algorithm to extract corner points for selecting feature points, and the displacement of adjacent pixels of feature points in the US video stream is calculated using the Lucas-Kanade optical flow algorithm. The moving least squares algorithm is used to correct US globally and locally in accordance with image pixel displacement to generate a nondeformed US image (US). In addition, US and US were separately aligned with CT to evaluate the improvement of alignment accuracy through deformation correction. In the phantom experiment, the overall and local average correction errors of the US image under the optimal probe pressure were 1.0944 and 0.7388 mm, respectively, and the registration accuracy of US and US with CT was 0.6764 and 0.9016, respectively. During the volunteer experiment, the correction error of all 12 patients' data ranged from -1.7525 to 1.5685 mm, with a mean absolute error of 0.8612 mm. The improvement range of US and CT registration accuracy, before and after image deformation correction in the 12 patients evaluated by a normalized correlation coefficient, was 0.1232 to 0.2476. The pixel displacement-based deformation correction method can solve the limitation imposed by image deformation on image alignment in US-guided radiotherapy. Compared with US, the alignment results of US with CT were better.

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Source
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC10501062PMC
http://dx.doi.org/10.1177/15330338231194546DOI Listing

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