Yan-Kang Li

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OBJECTIVE To investigate the effect of contrast enhancement on delineating the gross tumour volumes (GTVs) of different respiratory phases and constructing the corresponding internal GTVs (IGTVs) of primary thoracic oesophageal cancer based on four-dimensional computed tomography (4D-CT) scans. METHODS Forty-five patients with upper (14 cases), middle (16(More)
Since customers' behaviors may change over time in real applications, algorithms that can be utilized to mine these drift patterns are needed. In this paper, we propose a GA-based approach for mining fuzzy concept-drift patterns. It consists of two phases. The first phase mines membership functions and the second one finds fuzzy concept-drift patterns. In(More)
Objective: To investigate the potential dosimetric benefits of four-dimensional computed tomography (4DCT) compared to three-dimensional CT (3DCT) in the planning of radiotherapy for external-beam partial breast irradiation (EB-PBI). Methods: Three-DCT and 4DCT scan sets were acquired for 20 patients who underwent EB-PBI. For each patient a conventional 3D(More)
PURPOSE To compare planning target volume (PTV) defined by PET combined with 4DCT to 3DCT and 4DCT. METHODS Eighteen (18/30) esophageal cancer patients who underwent 3DCT, 4DCT and (18)F-FDG PET-CT thoracic simulation with SUVmax≥2.0 of the primary volume were enrolled. CTV3D was formed on 3DCT by adding a margin of 30 mm in cranial-caudal direction and 5(More)
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