NDLI: Quantitative Analysis of Bladder Wall Thickness for Magnetic Resonance Cystoscopy

Content Provider	IEEE Xplore Digital Library
Author	Xi Zhang Yang Liu Zengyue Yang Qiang Tian Guopeng Zhang Dan Xiao Guangbin Cui Hongbing Lu
Copyright Year	1964
Abstract	Objective: To find an effective way for quantitative evaluation on wall thickness variation of human bladder with/without bladder tumor, a novel pipeline of thickness measurement and analysis for magnetic resonance (MR) cystography is proposed. Methods: After the acquisition of volumetric bladder images with a high-resolution T2-weighted 3-D sequence, the inner and outer borders of the bladder wall were segmented simultaneously by a coupled directional level-set method. Then, the bladder wall thickness (BWT) was estimated using the Laplacian method. To reducing the influence of individual variation and urine filling on wall thickness, a thickness normalization using Z-score is performed. Finally, a parametric surface mapping strategy was applied to map thickness distribution onto a unified sphere surface, for quantitative intra- and intersubject comparison between bladders of different shapes. Results: The proposed pipeline was tested with a database composed of MR bladder images acquired from 20 volunteers and 20 patients with bladder cancer. The results indicate that the thickness normalization step using Z-score makes the quantitative comparison of wall thickness quite possible and there is a significant difference on BWT between patients and volunteers. Using the proposed pipeline, we established a thickness template for a normal bladder wall based on dataset of all volunteers. Conclusion: As a first attempt to establish a general pipeline for bladder wall analysis, the presented work provides an effective way to achieve the goal of evaluating the entire bladder wall for detection and diagnosis of abnormality. In addition, it can be easily extended to quantitative analyses of other bladder features, such as, intensity-based or texture features.
Sponsorship	IEEE Engineering in Medicine and Biology Society
Page Count	8
File Size	901812
Starting Page	2402
Ending Page	2409
File Format	PDF
ISSN	00189294
Volume Number	62
Issue Number	10
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-01-01
Publisher Place	U.S.A.
Access Restriction	One Nation One Subscription (ONOS)
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Bladder Filling Pipelines Cancer Three-dimensional displays Laplace equations Shape 3D bladder template bladder cancer bladder wall segmentation bladder wall thickness shape mapping T2-weighted MRI 3-D bladder template Bladder cancer bladder wall thickness (BWT) T2-weighted magnetic resonance image (MRI)
Content Type	Text
Resource Type	Article
Subject	Biomedical Engineering

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

Volume-Based Features for Detection of Bladder Wall Abnormal Regions via MR Cystography

Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm

Accuracy in local staging of prostate cancer by adding a three-dimensional T2-weighted sequence with radial reconstructions in magnetic resonance imaging

A Spatiotemporal-Based Scheme for Efficient Registration-Based Segmentation of Thoracic 4-D MRI

Unsupervised Segmentation and Quantification of Anatomical Knee Features: Data From the Osteoarthritis Initiative

Combined T2 SPAIR, Dynamic Enhancement and DW Imaging Reliably Detect T Staging and Grading of Bladder Cancer With 3.0T MRI

Prostate Segmentation: An Efficient Convex Optimization Approach With Axial Symmetry Using 3-D TRUS and MR Images

Investigation of the Role of Feature Selection and Weighted Voting in Random Forests for 3-D Volumetric Segmentation

A Coupled Level Set Framework for Bladder Wall Segmentation With Application to MR Cystography

Quantitative Analysis of Bladder Wall Thickness for Magnetic Resonance Cystoscopy

Similar Documents

Volume-Based Features for Detection of Bladder Wall Abnormal Regions via MR Cystography

Fully automated bladder tumor segmentation from T2 MRI images using 3D U-Net algorithm

Accuracy in local staging of prostate cancer by adding a three-dimensional T2-weighted sequence with radial reconstructions in magnetic resonance imaging

A Spatiotemporal-Based Scheme for Efficient Registration-Based Segmentation of Thoracic 4-D MRI

Unsupervised Segmentation and Quantification of Anatomical Knee Features: Data From the Osteoarthritis Initiative

Combined T2 SPAIR, Dynamic Enhancement and DW Imaging Reliably Detect T Staging and Grading of Bladder Cancer With 3.0T MRI

Prostate Segmentation: An Efficient Convex Optimization Approach With Axial Symmetry Using 3-D TRUS and MR Images

Investigation of the Role of Feature Selection and Weighted Voting in Random Forests for 3-D Volumetric Segmentation

A Coupled Level Set Framework for Bladder Wall Segmentation With Application to MR Cystography

Quantitative Analysis of Bladder Wall Thickness for Magnetic Resonance Cystoscopy