ArticleAJNR. American journal of neuroradiology2002
Estimation of tumor volume with fuzzy-connectedness segmentation of MR images.
Article in AJNR. American journal of neuroradiology, 2002. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 14 papers.
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Who cites it
14 citing papers in PubMed.
- Reliability of tumor volume estimation from MR images in patients with malignant glioma. Results from the American College of Radiology Imaging Network (ACRIN) 6662 Trial.European radiology · 2009Trial
- Recognizing Brain Tumors Using Adaptive Noise Filtering and Statistical Features.Diagnostics (Basel, Switzerland) · 2023Article
- Lesion size measurement in femoral head necrosis.International orthopaedics · 2018Article
- Brain tumor segmentation using holistically nested neural networks in MRI images.Medical physics · 2017Article
- Feature-based fuzzy connectedness segmentation of ultrasound images with an object completion step.Medical image analysis · 2015Article
- GPU-based relative fuzzy connectedness image segmentation.Medical physics · 2013Article
- Semi-automatic segmentation software for quantitative clinical brain glioblastoma evaluation.Academic radiology · 2012Article
- Parallel fuzzy connected image segmentation on GPU.Medical physics · 2011Article
- Fuzzy logic: A "simple" solution for complexities in neurosciences?Surgical neurology international · 2011Article
- Automated brain tumor segmentation using spatial accuracy-weighted hidden Markov Random Field.Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society · 2009Article
- GPU accelerated fuzzy connected image segmentation by using CUDA.Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual International Conference · 2009Article
- A neurosurgical navigation system based on intraoperative tumour remnant estimation.Journal of robotic surgery · 2007Article
- Comparison of linear and volumetric criteria in assessing tumor response in adult high-grade gliomas.Neuro-oncology · 2006Article
- Perfusion MRI in the evaluation of the relationship between tumour growth, necrosis and angiogenesis in glioblastomas and grade 1 meningiomas.Neuroradiology · 2003Article
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Authors and funding
4 authors.
Funding
Abstract
background and purposeReproducible measurements of brain tumor volume are helpful in evaluating the response to therapy and the need for changing treatment plans. Our purpose was to adapt the fuzzy-connectedness segmentation technique to measure tumor volume. This technique requires only limited operator interaction.
methodsRoutine postoperative brain MR imaging was performed in 19 patients with primary malignant gliomas of the brain. Segmentation was performed on axial and coronal gadolinium-enhanced and axial fluid-attenuated inversion recovery (FLAIR) images by using a fuzzy-connectedness algorithm, and tumor volumes were generated. Operator interaction was limited to selecting representative seed points within the tumor and, if necessary, editing the segmented image to include or exclude improperly classified regions.
resultsMeasurements of tumor volume were highly reproducible when they were obtained with no editing; intraobserver coefficients of variation were 0.15-0.37% and 0.29-0.38%, respectively, for enhanced images and FLAIR images. Editing consistently produced smaller volumes, at the cost of greater variability in volume measurements. Coefficients of variation for volumes with editing ranged from 0.2% to 1.3%.
conclusionsFuzzy-connected segmentation permits rapid, reliable, consistent and highly reproducible measurement of tumor volume from MR images with limited operator interaction.
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11900999PMC7975291What OpenQuestion holds
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