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Related Experiment Video

Updated: Jul 17, 2026

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
06:44

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Published on: June 7, 2020

Validation techniques for quantitative brain tumors measurements.

Y Salman1, M Assal, A Badawi

  • 1Department of Biomedical Engineering, MTC.

Conference Proceedings : ... Annual International Conference of the IEEE Engineering in Medicine and Biology Society. IEEE Engineering in Medicine and Biology Society. Annual Conference
|February 7, 2007
PubMed
Summary

Accurate brain tumor volume measurement is crucial for treatment. This study compares seeded region growing and active contour segmentation methods against expert manual segmentation using MRI data.

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Area of Science:

  • Medical Imaging
  • Computational Anatomy
  • Neurosurgery

Background:

  • Accurate quantitative tumor volume measurement is essential for effective patient management, particularly for non-ellipsoidal brain tumors.
  • Visual assessment and clinical examination are often insufficient for precise evaluation of irregular tumor morphologies.
  • The accuracy of tumor segmentation directly impacts downstream applications like surgical planning and volume quantification.

Purpose of the Study:

  • To evaluate the accuracy of two automated brain tumor segmentation techniques: seeded region growing and active contour (snakes).
  • To compare the performance of these methods against expert manual segmentation, considered the gold standard.
  • To assess the utility of these segmentation methods for quantitative brain tumor volume analysis using MR imaging.

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Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly
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Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Published on: April 14, 2014

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Last Updated: Jul 17, 2026

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging
06:44

Modeling Brain Metastases Through Intracranial Injection and Magnetic Resonance Imaging

Published on: June 7, 2020

Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly
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Lesion Explorer: A Video-guided, Standardized Protocol for Accurate and Reliable MRI-derived Volumetrics in Alzheimer's Disease and Normal Elderly

Published on: April 14, 2014

Main Methods:

  • Utilized Magnetic Resonance (MR) imaging data of brain tumor cases.
  • Applied seeded region growing algorithm for tumor segmentation.
  • Applied active contour (snakes) model for tumor segmentation.
  • Performed manual segmentation by expert radiologists as the gold standard for comparison.

Main Results:

  • Quantitative comparison of tumor volumes derived from seeded region growing and active contour methods against manual segmentations.
  • Assessment of segmentation accuracy and potential biases introduced by each automated method.
  • Illustration of the practical application of these methods in real-world brain tumor cases.

Conclusions:

  • The study provides a comparative analysis of seeded region growing and active contour segmentation techniques for brain tumor volume measurement.
  • Findings will inform the selection of appropriate segmentation methods for improving the accuracy of quantitative tumor analysis in neuroimaging.
  • Accurate segmentation is vital for reliable surgical planning and monitoring treatment response in neuro-oncology.