دورية أكاديمية
Algorithm of Pulmonary Vascular Segment and Centerline Extraction
| العنوان: | Algorithm of Pulmonary Vascular Segment and Centerline Extraction |
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| المؤلفون: | Shi Qiu, Jie Lian, Yan Ding, Tao Zhou, Ting Liang |
| المصدر: | Computational and Mathematical Methods in Medicine, Vol 2021 (2021) |
| بيانات النشر: | Hindawi Limited |
| سنة النشر: | 2021 |
| المجموعة: | Directory of Open Access Journals: DOAJ Articles |
| مصطلحات موضوعية: | Computer applications to medicine. Medical informatics, R858-859.7 |
| الوصف: | Because pulmonary vascular lesions are harmful to the human body and difficult to detect, computer-assisted diagnosis of pulmonary blood vessels has become the focus and difficulty of the current research. An algorithm of pulmonary vascular segment and centerline extraction which is consistent with the physician’s diagnosis process is proposed for the first time. We construct the projection of maximum density, restore the vascular space information, and correct random walk algorithm to satisfy automatic and accurate segmentation of blood vessels. Construct a local 3D model to restrain Hessian matrix when extracting centerline. In order to assist the physician to make a correct diagnosis and verify the effectiveness of the algorithm, we proposed a visual expansion model. According to the 420 high-resolution CT data of lung blood vessels labeled by physicians, the accuracy of segmentation algorithm AOM reached 93%, and the processing speed was 0.05 s/frame, which achieved the clinical application standards. |
| نوع الوثيقة: | article in journal/newspaper |
| اللغة: | English |
| تدمد: | 1748-670X 1748-6718 |
| العلاقة: | http://dx.doi.org/10.1155/2021/3859386Test; https://doaj.org/toc/1748-670XTest; https://doaj.org/toc/1748-6718Test; https://doaj.org/article/c8f76d074aa94cb4b2f2959f3b479447Test |
| DOI: | 10.1155/2021/3859386 |
| الإتاحة: | https://doi.org/10.1155/2021/3859386Test https://doaj.org/article/c8f76d074aa94cb4b2f2959f3b479447Test |
| رقم الانضمام: | edsbas.61DB507 |
| قاعدة البيانات: | BASE |
Full Text Finder | تدمد: | 1748670X 17486718 |
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| DOI: | 10.1155/2021/3859386 |