Automatic Virtual Colonoscopy Based Automatic Virtual Colonoscopy Based Diagnostic Decision Support System for Diagnostic Decision Support System for
Colorectal Cancer ScreeningColorectal Cancer Screening
Project IKTA5-058/2002
Infocommunications Technologies
and Applications
Research & Development Division, Ministry of Education, Hungary
http://www.om.hu/ikta
Project Duration: March 2003 – Sept 2004
ParticipantsParticipants
Co-ordinator:Co-ordinator: Semmelweis University, Department of Diagnostic Radiology and Semmelweis University, Department of Diagnostic Radiology and
Onkotherapy, BudapestOnkotherapy, BudapestHome page: http://www.sote.huAddress: H-1082 Budapest, Üllői út 78/a Tel.: (36-1)-2100307Project leader: Tarján Zsolt Dr. <[email protected]>
Consortium members:Consortium members: Budapest University of Technology and Economics, Department ofBudapest University of Technology and Economics, Department of
Control Engineering and Information Technology, BudapestControl Engineering and Information Technology, BudapestHome page: http://www.iit.bme.huTeam leader: Szirmay-Kalos László Prof. <[email protected]>
KDBR Consulting Kft., BudapestKDBR Consulting Kft., BudapestHome page: http://www.kdbr.huTeam leader: Kuhár János <[email protected]>
Scientific BackgroundScientific Background
Keywords:Keywords: Endoscopy, Colonoscopy, Cancer Screening, Radiology, Computer Endoscopy, Colonoscopy, Cancer Screening, Radiology, Computer
Tomography, Virtual Endoscopy, Virtual Colonoscopy, Computer Tomography, Virtual Endoscopy, Virtual Colonoscopy, Computer Graphics, Volume Rendering, Image Processing, Decision Support Graphics, Volume Rendering, Image Processing, Decision Support
Related publications by the participants at:Related publications by the participants at: European Congress of Radiology, Wien, 2001 3rd National Conference on Image Processing and Shape
Recognition, Domaszék, Hungary, 2002 First Hungarian Computer Graphics and Geometry Conference,
Budapest, 2002 Winter School on Computer Graphics, 2003 3rd Conference on 3D Imaging and Virtual Endoscopy, Rome, 2002
MotivationMotivation
6000 people die yearly because of colorectal cancer in Hungary.
Early detection could reduce fatalities to one third.
Because of associated discomfort only few asymptomatic patients would undergo traditional screening by colonoscopy.
Traditional ColonoscopyTraditional Colonoscopy
Video colonoscopyVideo colonoscopy
Endoscopic treatmentEndoscopic treatment
Virtual ColonoscopyVirtual Colonoscopy
CT scanCT scan Axial cross-sectionalAxial cross-sectionalimages setimages set
Volumetric datasetVolumetric dataset(voxel array)(voxel array)
Virtual colonoscopy Virtual colonoscopy viewview
Visualization Visualization algorithmsalgorithms
GoalsGoals
The aim of the project is to develop a complex The aim of the project is to develop a complex alternative screening method for colorectal cancer alternative screening method for colorectal cancer and preceding conditions.and preceding conditions.
Research focuses on:Research focuses on: less burdening patient preparation, suitable CT protocol, automated virtual colonoscopy software, fecal tagging algorithm, handling noisy, low dosage CT data, computer aided semi-automated decision support.
Software Engineering ProblemsSoftware Engineering Problems
Processing large volumetric datasets at interactive speed
Direct volume visualization Efficient user friendly interface Semi-automated navigation Fecal tagging Automated polyp detection Diagnostic decision support
Virtual Colonoscopy SoftwareVirtual Colonoscopy Software
Challenges in RadiologyChallenges in Radiology
Fast patient preparation Efficient and comfortable cleansing,
contrasting and inflation CT protocol to minimize X-ray dosage Ensuring high diagnostic sensitivity
