Segmentation of nodular medulloblastoma using random walker and hierarchical normalized cuts

Lev Tchikindas; Rachel Sparks; Jennifer Baccon; David Ellison; Alexander R. Judkins; Anant Madabhushi

doi:10.1109/NEBC.2011.5778640

Segmentation of nodular medulloblastoma using random walker and hierarchical normalized cuts

Lev Tchikindas, Rachel Sparks, Jennifer Baccon, David Ellison, Alexander R. Judkins, Anant Madabhushi

Imaging and Biomedical Engineering

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

5 Citations (Scopus)

Abstract

Medulloblastoma (MB) is the most common brain tumor in children. Recent studies have demonstrated a relationship between specific signaling pathway abnormalities, a tendency to more favorable outcomes, and a histopathological feature: nodular growth patterns. In this work we present a new segmentation scheme which requires minimal user interaction to segment nodules on MB histopathological sections. Our segmentation scheme consists of two steps: (1) color reduction using Hierarchical Normalized Cuts (HNCut), (2) Random Walker (RW) segmentation within the reduced HNCut color space. Across a cohort of 18 nodular MB images, our integrated HNCut and RW scheme yielded nodule segmentations with a Dice coefficient of 83:55 &x00B1; 12:4% and Predictive Positive Value (PPV) of 93:71 &x00B1; 9:0%.

Original language	English
Title of host publication	2011 IEEE 37th Annual Northeast Bioengineering Conference, NEBEC 2011
DOIs	https://doi.org/10.1109/NEBC.2011.5778640
Publication status	Published - 2011

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Name	2011 IEEE 37th Annual Northeast Bioengineering Conference, NEBEC 2011

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http://www.mendeley.com/research/segmentation-nodular-medulloblastoma-using-random-walker-hierarchical-normalized-cuts

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Tchikindas, L., Sparks, R., Baccon, J., Ellison, D., Judkins, A. R., & Madabhushi, A. (2011). Segmentation of nodular medulloblastoma using random walker and hierarchical normalized cuts. In 2011 IEEE 37th Annual Northeast Bioengineering Conference, NEBEC 2011 (2011 IEEE 37th Annual Northeast Bioengineering Conference, NEBEC 2011). https://doi.org/10.1109/NEBC.2011.5778640

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title = "Segmentation of nodular medulloblastoma using random walker and hierarchical normalized cuts",

abstract = "Medulloblastoma (MB) is the most common brain tumor in children. Recent studies have demonstrated a relationship between specific signaling pathway abnormalities, a tendency to more favorable outcomes, and a histopathological feature: nodular growth patterns. In this work we present a new segmentation scheme which requires minimal user interaction to segment nodules on MB histopathological sections. Our segmentation scheme consists of two steps: (1) color reduction using Hierarchical Normalized Cuts (HNCut), (2) Random Walker (RW) segmentation within the reduced HNCut color space. Across a cohort of 18 nodular MB images, our integrated HNCut and RW scheme yielded nodule segmentations with a Dice coefficient of 83:55 &x00B1; 12:4% and Predictive Positive Value (PPV) of 93:71 &x00B1; 9:0%.",

author = "Lev Tchikindas and Rachel Sparks and Jennifer Baccon and David Ellison and Judkins, {Alexander R.} and Anant Madabhushi",

year = "2011",

doi = "10.1109/NEBC.2011.5778640",

language = "English",

isbn = "9781612848273",

series = "2011 IEEE 37th Annual Northeast Bioengineering Conference, NEBEC 2011",

booktitle = "2011 IEEE 37th Annual Northeast Bioengineering Conference, NEBEC 2011",

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Segmentation of nodular medulloblastoma using random walker and hierarchical normalized cuts. / Tchikindas, Lev; Sparks, Rachel; Baccon, Jennifer et al.
2011 IEEE 37th Annual Northeast Bioengineering Conference, NEBEC 2011. 2011. (2011 IEEE 37th Annual Northeast Bioengineering Conference, NEBEC 2011).

Research output: Chapter in Book/Report/Conference proceeding › Chapter › peer-review

TY - CHAP

T1 - Segmentation of nodular medulloblastoma using random walker and hierarchical normalized cuts

AU - Tchikindas, Lev

AU - Sparks, Rachel

AU - Baccon, Jennifer

AU - Ellison, David

AU - Judkins, Alexander R.

AU - Madabhushi, Anant

PY - 2011

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AB - Medulloblastoma (MB) is the most common brain tumor in children. Recent studies have demonstrated a relationship between specific signaling pathway abnormalities, a tendency to more favorable outcomes, and a histopathological feature: nodular growth patterns. In this work we present a new segmentation scheme which requires minimal user interaction to segment nodules on MB histopathological sections. Our segmentation scheme consists of two steps: (1) color reduction using Hierarchical Normalized Cuts (HNCut), (2) Random Walker (RW) segmentation within the reduced HNCut color space. Across a cohort of 18 nodular MB images, our integrated HNCut and RW scheme yielded nodule segmentations with a Dice coefficient of 83:55 &x00B1; 12:4% and Predictive Positive Value (PPV) of 93:71 &x00B1; 9:0%.

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DO - 10.1109/NEBC.2011.5778640

M3 - Chapter

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T3 - 2011 IEEE 37th Annual Northeast Bioengineering Conference, NEBEC 2011

BT - 2011 IEEE 37th Annual Northeast Bioengineering Conference, NEBEC 2011

ER -

Segmentation of nodular medulloblastoma using random walker and hierarchical normalized cuts

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