NDLI: Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring

Content Provider	IEEE Xplore Digital Library
Author	Suzuki, K. Hieu Trung Huynh Yipeng Liu Calabrese, D. Zhou, K. Oto, A. Hori, M.
Copyright Year	2013
Description	Author affiliation: Dept. of Radiol., Osaka Univ., Suita, Japan (Hori, M.) \|\| Fac. of Inf. Technol., Ind. Univ. of Ho Chi Minh City, Ho Chi Minh City, Vietnam (Hieu Trung Huynh) \|\| Univ. of Michigan, Ann Arbor, MI, USA (Calabrese, D.) \|\| Dept. of Radiol., Univ. of Chicago, Chicago, IL, USA (Suzuki, K.; Yipeng Liu; Oto, A.) \|\| Washington Univ. in St. Louis, St. Louis, MO, USA (Zhou, K.)
Abstract	Computerized liver volumetry has been studied, because the current “gold-standard” manual volumetry is subjective and very time-consuming. Liver volumetry is done in either CT or MRI. A number of researchers have developed computerized liver segmentation in CT, but there are fewer studies on ones for MRI. Our purpose in this study was to develop a general framework for liver segmentation in both CT and MRI. Our scheme consisted of 1) an anisotropic diffusion filter to reduce noise while preserving liver structures, 2) a scale-specific gradient magnitude filter to enhance liver boundaries, 3) a fast-marching algorithm to roughly determine liver boundaries, and 4) a geodesic-active-contour model coupled with a level-set algorithm to refine the initial boundaries. Our CT database contained hepatic CT scans of 18 liver donors obtained under a liver transplant protocol. Our MRI database contains 23 patients with 1.5T MRI scanners. To establish “gold-standard” liver volumes, radiologists manually traced the contour of the liver on each CT or MR slice. We compared our computer volumetry with “gold-standard” manual volumetry. Computer volumetry in CT and MRI reached excellent agreement with manual volumetry (intra-class correlation coefficient = 0.94 and 0.98, respectively). Average user time for computer volumetry in CT and MRI was 0.57 ± 0.06 and 1.0 ± 0.13 min. per case, respectively, whereas those for manual volumetry were 39.4 ± 5.5 and 24.0 ± 4.4 min. per case, respectively, with statistically significant difference (p <; .05). Our computerized liver segmentation framework provides an efficient and accurate way of measuring liver volumes in both CT and MRI.
Starting Page	2984
Ending Page	2987
File Size	2907775
Page Count	4
File Format	PDF
ISBN	9781457702167
ISSN	1557170X
DOI	10.1109/EMBC.2013.6610167
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-07-03
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Liver Computed tomography Image segmentation Manuals Magnetic resonance imaging Educational institutions Anisotropic magnetoresistance
Content Type	Text
Resource Type	Article
Subject	Signal Processing Biomedical Engineering Health Informatics Computer Vision and Pattern Recognition

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Computerized Segmentation of Liver in Hepatic CT and MRI by Means of Level-Set Geodesic Active Contouring

Codimension-two geodesic active contours for the segmentation of tubular structures

Multiphase Segmentation on CT Liver Image Using Split-Augmented-Lagrangian Projection Method

CT image segmentation in traumatic brain injury

A Likelihood and Local Constraint Level Set Model for Liver Tumor Segmentation from CT Volumes

3D liver segmentation in preoperative CT images using a levelsets active surface method

Automatic segmentation of leg bones by using active contours

A semi-automatic approach to the segmentation of liver parenchyma from 3D CT images with Extreme Learning Machine

Liver Segmentation in CT Images Using Chan-Vese Model

Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring

Similar Documents

Computerized Segmentation of Liver in Hepatic CT and MRI by Means of Level-Set Geodesic Active Contouring

Codimension-two geodesic active contours for the segmentation of tubular structures

Multiphase Segmentation on CT Liver Image Using Split-Augmented-Lagrangian Projection Method

CT image segmentation in traumatic brain injury

A Likelihood and Local Constraint Level Set Model for Liver Tumor Segmentation from CT Volumes

3D liver segmentation in preoperative CT images using a levelsets active surface method

Automatic segmentation of leg bones by using active contours

A semi-automatic approach to the segmentation of liver parenchyma from 3D CT images with Extreme Learning Machine

Liver Segmentation in CT Images Using Chan-Vese Model

Computerized segmentation of liver in hepatic CT and MRI by means of level-set geodesic active contouring