Comparison of different registration methods and landmarks for image-guided radiation therapy of pulmonary tumors

Abstract

Background To compare the accuracy, advantages and disadvantages of automatic registration methods at different anatomical-sites for thoracic image-guided radiation therapy (IGRT). Methods The Varian-IX IGRT system was used to perform a manual registration of the images collected on the first fraction of 60 patients with lung cancer (42 cases central location and 18 cases of peripheral). The registered images were used as reference images. Offline registration was performed for computed tomography-CBCT images using four methods: whole image registration, ipsilateral registration, soft tissue tumor registration, and vertebral body registration. Time taken to complete and deviation value were analyzed between the different methods. Results There were significant differences in absolute deviation value of all the three directions ( P < 0.001) and the time consumption ( P < 0.001) between 4 methods. The Z direction had significant differences in deviation value of 4 methods (0.023 ± 0.128 mm, − 0.030 ± 0.175 mm, − 0.010 ± 0.238 mm, − 0.075 ± 0.137 mm, P = 0.011). The difference was significant in the X direction of the ipsilateral registration method between central and peripheral lung cancer (0.033 ± 0.053 mm vs. 0.067 ± 0.067 mm, P = 0.045). Conclusions The whole lung or affected side registration methods could be recommended to be used in the automatic registration function of the Varian-IX’s On-Board Imaging (OBI) system.

Imaging quality of PROPELLER diffusion‐weighted MR imaging and its diagnostic performance in distinguishing pleomorphic adenomas from Warthin tumors of the parotid gland

“…Therefore, it could be clearly identified on the b0 image of DWI robustly. Instead of using the whole image, which is affected by the magnetic susceptibility artifacts related to air‐tissue interface and metal dental works, we intentionally chose the cervical cord as the reference point for quantitative analysis of the imaging distortion . The advantage of using the ROI of cervical cord was that it would provide a stable reference for Dice coefficient calculation of parotid gland tumor ROI in different patients.…”

Comparison of different registration methods in cone-beam computed tomography for breast boost radiation therapy

“…This was a time-consuming and lengthy procedure. 14 • Clipbox automatic registration was based on definition of VOI with a solid box; only voxels inside selected volume were used for image registration. 15 The dimensions of Clipbox were userdefined.…”

A Medical Image Classification Model Based on Adversarial Lesion Enhancement

“…erefore, traditional machine learning algorithms perform poorly on medical image classification. With the continuous development of deep learning technology, deep learning algorithms, including CNN (convolutional neural networks) [10] and GAN (generative adversarial networks) [11], are widely used in classification tasks.…”