Literature DB >> 18003281

Hausdorff distance based 3D quantification of brain tumor evolution from MRI images.

Frédéric Morain-Nicolier1, Stéphane Lebonvallet, Etienne Baudrier, Su Ruan.   

Abstract

This paper presents a quantification method which can be used to quantify the evolution of a brain tumor with time. From two segmented volumes, a Local Distance Volume (LDV) based on Hausdorff Distance is computed to show the true physical local distances between them. In the case of tracking a tumor volume during a therapeutic treatment, local variations can thus be shown by the LDV in particular where the tumor has regressed and where it has grown. This information can help radiologists to adapt the current treatment.

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Year:  2007        PMID: 18003281     DOI: 10.1109/IEMBS.2007.4353615

Source DB:  PubMed          Journal:  Conf Proc IEEE Eng Med Biol Soc        ISSN: 1557-170X


  3 in total

1.  Image Guided Focal Therapy for Magnetic Resonance Imaging Visible Prostate Cancer: Defining a 3-Dimensional Treatment Margin Based on Magnetic Resonance Imaging Histology Co-Registration Analysis.

Authors:  Julien Le Nobin; Andrew B Rosenkrantz; Arnauld Villers; Clément Orczyk; Fang-Ming Deng; Jonathan Melamed; Artem Mikheev; Henry Rusinek; Samir S Taneja
Journal:  J Urol       Date:  2015-02-21       Impact factor: 7.450

2.  Validation of parametric mesh generation for subject-specific cerebroarterial trees using modified Hausdorff distance metrics.

Authors:  Mahsa Ghaffari; Lea Sanchez; Guoren Xu; Ali Alaraj; Xiaohong Joe Zhou; Fady T Charbel; Andreas A Linninger
Journal:  Comput Biol Med       Date:  2018-07-07       Impact factor: 4.589

3.  Metrics for evaluating 3D medical image segmentation: analysis, selection, and tool.

Authors:  Abdel Aziz Taha; Allan Hanbury
Journal:  BMC Med Imaging       Date:  2015-08-12       Impact factor: 1.930

  3 in total

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