ArticleMedical physics2014
Prostate CT segmentation method based on nonrigid registration in ultrasound-guided CT-based HDR prostate brachytherapy.
Article in Medical physics, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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10 citing papers in PubMed, 23 citations in OpenAlex.
- MRI-based prostate and dominant lesion segmentation using cascaded scoring convolutional neural network.Medical physics · 2022Article
- A review of deep learning based methods for medical image multi-organ segmentation.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2021Review
- Automatic multi-needle localization in ultrasound images using large margin mask RCNN for ultrasound-guided prostate brachytherapy.Physics in medicine and biology · 2020Article
- Male pelvic multi-organ segmentation aided by CBCT-based synthetic MRI.Physics in medicine and biology · 2020Article
- A novel auto-positioning method in Iodine-125 seed brachytherapy driven by preoperative planning.Journal of applied clinical medical physics · 2019Article
- A Denoising Algorithm for CT Image Using Low-rank Sparse Coding.Proceedings of SPIE--the International Society for Optical Engineering · 2018Article
- High-resolution CT Image Retrieval Using Sparse Convolutional Neural Network.Proceedings of SPIE--the International Society for Optical Engineering · 2018Article
- Improved prostate delineation in prostate HDR brachytherapy with TRUS-CT deformable registration technology: A pilot study with MRI validation.Journal of applied clinical medical physics · 2017Article
- A MR-TRUS Registration Method for Ultrasound-Guided Prostate Interventions.Proceedings of SPIE--the International Society for Optical Engineering · 2015Article
- Patch-Based Label Fusion for Automatic Multi-Atlas-Based Prostate Segmentation in MR Images.Proceedings of SPIE--the International Society for Optical EngineeringArticle
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8 authors at 1 institution in 1 country.
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Abstract
purposeThe technological advances in real-time ultrasound image guidance for high-dose-rate (HDR) prostate brachytherapy have placed this treatment modality at the forefront of innovation in cancer radiotherapy. Prostate HDR treatment often involves placing the HDR catheters (needles) into the prostate gland under the transrectal ultrasound (TRUS) guidance, then generating a radiation treatment plan based on CT prostate images, and subsequently delivering high dose of radiation through these catheters. The main challenge for this HDR procedure is to accurately segment the prostate volume in the CT images for the radiation treatment planning. In this study, the authors propose a novel approach that integrates the prostate volume from 3D TRUS images into the treatment planning CT images to provide an accurate prostate delineation for prostate HDR treatment.
methodsThe authors' approach requires acquisition of 3D TRUS prostate images in the operating room right after the HDR catheters are inserted, which takes 1-3 min. These TRUS images are used to create prostate contours. The HDR catheters are reconstructed from the intraoperative TRUS and postoperative CT images, and subsequently used as landmarks for the TRUS-CT image fusion. After TRUS-CT fusion, the TRUS-based prostate volume is deformed to the CT images for treatment planning. This method was first validated with a prostate-phantom study. In addition, a pilot study of ten patients undergoing HDR prostate brachytherapy was conducted to test its clinical feasibility. The accuracy of their approach was assessed through the locations of three implanted fiducial (gold) markers, as well as T2-weighted MR prostate images of patients.
resultsFor the phantom study, the target registration error (TRE) of gold-markers was 0.41 ± 0.11 mm. For the ten patients, the TRE of gold markers was 1.18 ± 0.26 mm; the prostate volume difference between the authors' approach and the MRI-based volume was 7.28% ± 0.86%, and the prostate volume Dice overlap coefficient was 91.89% ± 1.19%.
conclusionsThe authors have developed a novel approach to improve prostate contour utilizing intraoperative TRUS-based prostate volume in the CT-based prostate HDR treatment planning, demonstrated its clinical feasibility, and validated its accuracy with MRIs. The proposed segmentation method would improve prostate delineations, enable accurate dose planning and treatment delivery, and potentially enhance the treatment outcome of prostate HDR brachytherapy.
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