Intraoperative tumor segmentation and volume measurement in MRI-guided glioma surgery for tumor resection rate control

Nobuhiko Hata, Yoshihiro Muragaki, Takashi Inomata, Takashi Maruyama, Hiroshi Iseki, Tomokatsu Hori, Takeyoshi Dohi

Research output: Contribution to journalArticle

10 Citations (Scopus)

Abstract

Gross-total surgery under intraoperative magnetic resonance imaging (MRI) is a promising method of glioma removal. The purpose of this article is intraoperative measurement of resected tumor volume in MRI-guided glioma surgery using semiautomatic image segmentation to unbiased resection rate control. A newly developed software program based on a fuzzy connectedness (FC) segmentation algorithm was used to achieve fast and semiautomatic tumor segmentation and tumor volume measurement. The program was validated by retrospective study of eight glioma cases and then applied to seven glioma cases. All clinical cases underwent actual MRI-guided surgery using 0.3-T open magnets. The volume of the tumor before resection ranged from 10.1 to 206.7 mL. A comparison of the results of manual segmentation with those of the semiautomatic FC-based segmentation gave an average dice similarity coefficient of 0.80 and an average match of 76%. Volume measurement combined with a developed software program enabled quantitative monitoring of tumor removal, which was critical in the near-total resection of glioma in MRI-guided surgery. The FC-based tumor segmentation method can be used for intraoperative tumor segmentation and volume measurement in MRI-guided glioma surgery using 0.3-T open magnets. This method is useful for objective resection rate monitoring, which may ultimately minimize the amount of residual tumor in glioma surgery.

Original languageEnglish
Pages (from-to)116-122
Number of pages7
JournalAcademic Radiology
Volume12
Issue number1
DOIs
Publication statusPublished - 2005 Jan
Externally publishedYes

Fingerprint

Tumor Burden
Glioma
Magnetic Resonance Imaging
Neoplasms
Magnets
Software
Residual Neoplasm
Retrospective Studies

Keywords

  • brain tumor
  • MRI-guided surgery
  • segmentation
  • volume measurement

ASJC Scopus subject areas

  • Radiology Nuclear Medicine and imaging

Cite this

Intraoperative tumor segmentation and volume measurement in MRI-guided glioma surgery for tumor resection rate control. / Hata, Nobuhiko; Muragaki, Yoshihiro; Inomata, Takashi; Maruyama, Takashi; Iseki, Hiroshi; Hori, Tomokatsu; Dohi, Takeyoshi.

In: Academic Radiology, Vol. 12, No. 1, 01.2005, p. 116-122.

Research output: Contribution to journalArticle

Hata, Nobuhiko ; Muragaki, Yoshihiro ; Inomata, Takashi ; Maruyama, Takashi ; Iseki, Hiroshi ; Hori, Tomokatsu ; Dohi, Takeyoshi. / Intraoperative tumor segmentation and volume measurement in MRI-guided glioma surgery for tumor resection rate control. In: Academic Radiology. 2005 ; Vol. 12, No. 1. pp. 116-122.
@article{30db1a4f5b23458dafdfca8ae6a1a97d,
title = "Intraoperative tumor segmentation and volume measurement in MRI-guided glioma surgery for tumor resection rate control",
abstract = "Gross-total surgery under intraoperative magnetic resonance imaging (MRI) is a promising method of glioma removal. The purpose of this article is intraoperative measurement of resected tumor volume in MRI-guided glioma surgery using semiautomatic image segmentation to unbiased resection rate control. A newly developed software program based on a fuzzy connectedness (FC) segmentation algorithm was used to achieve fast and semiautomatic tumor segmentation and tumor volume measurement. The program was validated by retrospective study of eight glioma cases and then applied to seven glioma cases. All clinical cases underwent actual MRI-guided surgery using 0.3-T open magnets. The volume of the tumor before resection ranged from 10.1 to 206.7 mL. A comparison of the results of manual segmentation with those of the semiautomatic FC-based segmentation gave an average dice similarity coefficient of 0.80 and an average match of 76{\%}. Volume measurement combined with a developed software program enabled quantitative monitoring of tumor removal, which was critical in the near-total resection of glioma in MRI-guided surgery. The FC-based tumor segmentation method can be used for intraoperative tumor segmentation and volume measurement in MRI-guided glioma surgery using 0.3-T open magnets. This method is useful for objective resection rate monitoring, which may ultimately minimize the amount of residual tumor in glioma surgery.",
keywords = "brain tumor, MRI-guided surgery, segmentation, volume measurement",
author = "Nobuhiko Hata and Yoshihiro Muragaki and Takashi Inomata and Takashi Maruyama and Hiroshi Iseki and Tomokatsu Hori and Takeyoshi Dohi",
year = "2005",
month = "1",
doi = "10.1016/j.acra.2004.11.009",
language = "English",
volume = "12",
pages = "116--122",
journal = "Academic Radiology",
issn = "1076-6332",
publisher = "Elsevier USA",
number = "1",

}

TY - JOUR

T1 - Intraoperative tumor segmentation and volume measurement in MRI-guided glioma surgery for tumor resection rate control

AU - Hata, Nobuhiko

AU - Muragaki, Yoshihiro

AU - Inomata, Takashi

AU - Maruyama, Takashi

AU - Iseki, Hiroshi

AU - Hori, Tomokatsu

AU - Dohi, Takeyoshi

PY - 2005/1

Y1 - 2005/1

N2 - Gross-total surgery under intraoperative magnetic resonance imaging (MRI) is a promising method of glioma removal. The purpose of this article is intraoperative measurement of resected tumor volume in MRI-guided glioma surgery using semiautomatic image segmentation to unbiased resection rate control. A newly developed software program based on a fuzzy connectedness (FC) segmentation algorithm was used to achieve fast and semiautomatic tumor segmentation and tumor volume measurement. The program was validated by retrospective study of eight glioma cases and then applied to seven glioma cases. All clinical cases underwent actual MRI-guided surgery using 0.3-T open magnets. The volume of the tumor before resection ranged from 10.1 to 206.7 mL. A comparison of the results of manual segmentation with those of the semiautomatic FC-based segmentation gave an average dice similarity coefficient of 0.80 and an average match of 76%. Volume measurement combined with a developed software program enabled quantitative monitoring of tumor removal, which was critical in the near-total resection of glioma in MRI-guided surgery. The FC-based tumor segmentation method can be used for intraoperative tumor segmentation and volume measurement in MRI-guided glioma surgery using 0.3-T open magnets. This method is useful for objective resection rate monitoring, which may ultimately minimize the amount of residual tumor in glioma surgery.

AB - Gross-total surgery under intraoperative magnetic resonance imaging (MRI) is a promising method of glioma removal. The purpose of this article is intraoperative measurement of resected tumor volume in MRI-guided glioma surgery using semiautomatic image segmentation to unbiased resection rate control. A newly developed software program based on a fuzzy connectedness (FC) segmentation algorithm was used to achieve fast and semiautomatic tumor segmentation and tumor volume measurement. The program was validated by retrospective study of eight glioma cases and then applied to seven glioma cases. All clinical cases underwent actual MRI-guided surgery using 0.3-T open magnets. The volume of the tumor before resection ranged from 10.1 to 206.7 mL. A comparison of the results of manual segmentation with those of the semiautomatic FC-based segmentation gave an average dice similarity coefficient of 0.80 and an average match of 76%. Volume measurement combined with a developed software program enabled quantitative monitoring of tumor removal, which was critical in the near-total resection of glioma in MRI-guided surgery. The FC-based tumor segmentation method can be used for intraoperative tumor segmentation and volume measurement in MRI-guided glioma surgery using 0.3-T open magnets. This method is useful for objective resection rate monitoring, which may ultimately minimize the amount of residual tumor in glioma surgery.

KW - brain tumor

KW - MRI-guided surgery

KW - segmentation

KW - volume measurement

UR - http://www.scopus.com/inward/record.url?scp=13244287968&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=13244287968&partnerID=8YFLogxK

U2 - 10.1016/j.acra.2004.11.009

DO - 10.1016/j.acra.2004.11.009

M3 - Article

C2 - 15691732

AN - SCOPUS:13244287968

VL - 12

SP - 116

EP - 122

JO - Academic Radiology

JF - Academic Radiology

SN - 1076-6332

IS - 1

ER -