Journal of Biomedical Science and Engineering · 2009 · 40 citations · 16 references
MedicineOncologyDiagnostic ImagingDiagnostic RadiologyNeuro-oncologyBrain TumorsMedical Image AnalysisThree-dimensional ReconstructionVolume EstimationVolume MeasurementVolume SegmentationBoundary DetectionRegion GrowingSegmentationThree-dimensional Volumetric AnalysisTumor Response EvaluationTumor SegmentationTumor Volume EstimationTumor Volume Measurement
Quantitative measurements of tumor response rate in three dimensions (3D) become more re-alistic with the use of advanced technology im-aging during therapy, especially when the tumor morphological changes remain subtle, irregular and difficult to assess by clinical examination. These quantitative measurements depend strongly on the accuracy of the segmentations methods used. Improvements on such methods yield to increase the accuracy of the segmentation process. Recently, the essential modification in the Traditional Region Growing (T-RG) method has been developed and a “Modified Region Growing Method” (MRGM) has been presented and gives more accurate boundary detection and holes filling after segmentation. In this pa-per, the new automatic calculation of the volu-metric size of brain tumor has been imple-mented based on Modified Region Growing Method. A comparative study and statistical analysis performed in this work show that the modified method gives more accurate and better performance for 3D volume measurements. The method was tested by 7 fully investigated pa-tients of different tumor type and shape, and better accurate results were reported using MRGM.
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Marching cubes: A high resolution 3D surface construction algorithm
William E. Lorensen, H. E. Cline · 1987 · 10.2K citations · Full text
Computing, Radiology, Visualization +17
Invasive cervical carcinoma: comparison of MR imaging and surgical findings.
Hedvig Hricak, Conley G. Lacey, LG Sandles et al. · Radiology · 1988 · 379 citations