Automatische Klassifizierung der Leber aus hochauflösenden Multi-Slice CT Daten

Gerald Adam Zwettler; Werner Backfrieder; Roland Swoboda; Franz Pfeifer; Heinz Kratochwill; Franz Fellner

Automatische Klassifizierung der Leber aus hochauflösenden Multi-Slice CT Daten

Translated title of the contribution: Automatic Liver Classification with Multi-Slice CT Data

Gerald Adam Zwettler, Werner Backfrieder, Roland Swoboda, Franz Pfeifer, Heinz Kratochwill, Franz Fellner

Research output: Chapter in Book/Report/Conference proceedings › Conference contribution

Abstract

Multi slice CT (MSCT) effected major improvement in spatial and temporal resolution of radiologic diagnosis. Accurate high contrast imaging of liver parenchyma allows early diagnosis of even small-sized liver tumors, improving prognoses of therapy. Modern imaging methods for liver classification, automated segmentation of entire liver vessel tree and lesions of the parenchyma benefit from state of the art computerized methods like level sets. Liver lobe classification is performed according to Couinaud utilizing graph analysis. Information about the position of the lesions and their size is used for operation planning and monitoring of therapy progress.

Translated title of the contribution	Automatic Liver Classification with Multi-Slice CT Data
Original language	German
Title of host publication	1. Forschungsforum der österreichischen Fachhochschulen
Subtitle of host publication	Tagungsband
Pages	425-426
Publication status	Published - 2007
Event	Erstes Forschungsforum der österreichischen Fachhochschulen - Fachhochschule Salzburg, Campus Urstein, Austria Duration: 11 Apr 2007 → 12 Apr 2007

Conference

Conference	Erstes Forschungsforum der österreichischen Fachhochschulen
Country/Territory	Austria
City	Fachhochschule Salzburg, Campus Urstein
Period	11.04.2007 → 12.04.2007

Cite this

@inproceedings{042086e80d9c449698fbde0f6ba35690,

title = "Automatische Klassifizierung der Leber aus hochaufl{\"o}senden Multi-Slice CT Daten",

abstract = "Multi slice CT (MSCT) effected major improvement in spatial and temporal resolution of radiologic diagnosis. Accurate high contrast imaging of liver parenchyma allows early diagnosis of even small-sized liver tumors, improving prognoses of therapy. Modern imaging methods for liver classification, automated segmentation of entire liver vessel tree and lesions of the parenchyma benefit from state of the art computerized methods like level sets. Liver lobe classification is performed according to Couinaud utilizing graph analysis. Information about the position of the lesions and their size is used for operation planning and monitoring of therapy progress.",

author = "Zwettler, {Gerald Adam} and Werner Backfrieder and Roland Swoboda and Franz Pfeifer and Heinz Kratochwill and Franz Fellner",

year = "2007",

language = "Deutsch",

isbn = "978-3-89975-129-1",

pages = "425--426",

booktitle = "1. Forschungsforum der {\"o}sterreichischen Fachhochschulen",

note = "Erstes Forschungsforum der {\"o}sterreichischen Fachhochschulen ; Conference date: 11-04-2007 Through 12-04-2007",

}

Zwettler, GA , Backfrieder, W, Swoboda, R, Pfeifer, F, Kratochwill, H & Fellner, F 2007, Automatische Klassifizierung der Leber aus hochauflösenden Multi-Slice CT Daten. in 1. Forschungsforum der österreichischen Fachhochschulen: Tagungsband. pp. 425-426, Erstes Forschungsforum der österreichischen Fachhochschulen, Fachhochschule Salzburg, Campus Urstein, Austria, 11.04.2007.

TY - GEN

T1 - Automatische Klassifizierung der Leber aus hochauflösenden Multi-Slice CT Daten

AU - Zwettler, Gerald Adam

AU - Backfrieder, Werner

AU - Swoboda, Roland

AU - Pfeifer, Franz

AU - Kratochwill, Heinz

AU - Fellner, Franz

PY - 2007

Y1 - 2007

N2 - Multi slice CT (MSCT) effected major improvement in spatial and temporal resolution of radiologic diagnosis. Accurate high contrast imaging of liver parenchyma allows early diagnosis of even small-sized liver tumors, improving prognoses of therapy. Modern imaging methods for liver classification, automated segmentation of entire liver vessel tree and lesions of the parenchyma benefit from state of the art computerized methods like level sets. Liver lobe classification is performed according to Couinaud utilizing graph analysis. Information about the position of the lesions and their size is used for operation planning and monitoring of therapy progress.

AB - Multi slice CT (MSCT) effected major improvement in spatial and temporal resolution of radiologic diagnosis. Accurate high contrast imaging of liver parenchyma allows early diagnosis of even small-sized liver tumors, improving prognoses of therapy. Modern imaging methods for liver classification, automated segmentation of entire liver vessel tree and lesions of the parenchyma benefit from state of the art computerized methods like level sets. Liver lobe classification is performed according to Couinaud utilizing graph analysis. Information about the position of the lesions and their size is used for operation planning and monitoring of therapy progress.

M3 - Konferenzbeitrag

SN - 978-3-89975-129-1

SP - 425

EP - 426

BT - 1. Forschungsforum der österreichischen Fachhochschulen

T2 - Erstes Forschungsforum der österreichischen Fachhochschulen

Y2 - 11 April 2007 through 12 April 2007

ER -

Automatische Klassifizierung der Leber aus hochauflösenden Multi-Slice CT Daten

Abstract

Conference

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