NDLI: A Multiple Anatomical Landmark Detection System for Body CT Images

Content Provider	IEEE Xplore Digital Library
Author	Hanaoka, S. Masutani, Y. Nemoto, M. Nomura, Y. Miki, S. Yoshikawa, T. Hayashi, N. Ohtomo, K.
Copyright Year	2013
Description	Author affiliation: Dept. of Radiol., Univ. of Tokyo Hosp., Tokyo, Japan (Hanaoka, S.; Masutani, Y.; Nemoto, M.; Nomura, Y.; Miki, S.; Yoshikawa, T.; Hayashi, N.; Ohtomo, K.)
Abstract	Automatic detection of anatomical landmarks has wide range of application in medical image analysis. In this short paper, we present a two-stage method to detect 181 landmarks simultaneously. In the first stage, each landmark is independently searched by a dedicated detector which outputs a list of candidate positions for the target landmark. Each detector is composed of an appearance-based initial detector and a classifier ensemble to estimate the probabilities of detected candidates and to eliminate false positives. Here, the appearance shape used in each detector is optimized by a cross-validation-based variable selection algorithm in advance. Then, in the following second stage, a single combination of all landmark positions is determined from all the candidate lists. The determination is performed by maximum a posteriori (MAP) estimation in which the posterior probability is calculated from both the likelihoods of detected candidates (estimated by the classifier ensemble) and a statistical spatial distribution model of the all landmarks. This MAP estimation process can also determine whether each landmark is within the given CT volume or out of the imaging range. The proposed system was trained for 181 landmarks with 60 human torso CT datasets and evaluated with another 60 datasets. The datasets include both plain CT and contrast enhanced CT volumes with various imaging ranges. In the result, 69.0% and 87.9% of the landmarks were successfully detected within 1 and 2 cm from the ground truth point, respectively. The average detection error was 9.58 mm. From these results, applicability of the proposed system to various CT datasets was verified.
Starting Page	308
Ending Page	311
File Size	326271
Page Count	4
File Format	PDF
e-ISBN	9781479927968
DOI	10.1109/CANDAR.2013.54
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2013-12-04
Publisher Place	Japan
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Maximum a posteriori estimation Computed tomography Anatomical landmark Estimation Detectors Bones Optimization Biomedical imaging
Content Type	Text
Resource Type	Article

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

Saliency-based rotation invariant descriptor for wrist detection in whole body CT images

Post-processing of Anatomical Landmark Detection: Distance Error Reduction by Pictorial Structure Matching-Based Method

Automatic extraction of anatomical landmarks from medical image data: An evaluation of different methods

Search strategies for multiple landmark detection by submodular maximization

Cone-beam reconstruction for a C-arm CT system

A discrete tomography approach for superresolution micro-CT images: application to bone

A hybrid approach for automated detection of lung nodules in CT images

Performance of the relative difference prior for hot lesion detection in whole-body PET/CT: an evaluation with numerical and real observers

Estimation of 3D biomechanics parameters of patellar movement using dynamic CT images

A Multiple Anatomical Landmark Detection System for Body CT Images

Similar Documents

Saliency-based rotation invariant descriptor for wrist detection in whole body CT images

Post-processing of Anatomical Landmark Detection: Distance Error Reduction by Pictorial Structure Matching-Based Method

Automatic extraction of anatomical landmarks from medical image data: An evaluation of different methods

Search strategies for multiple landmark detection by submodular maximization

Cone-beam reconstruction for a C-arm CT system

A discrete tomography approach for superresolution micro-CT images: application to bone

A hybrid approach for automated detection of lung nodules in CT images

Performance of the relative difference prior for hot lesion detection in whole-body PET/CT: an evaluation with numerical and real observers

Estimation of 3D biomechanics parameters of patellar movement using dynamic CT images

A Multiple Anatomical Landmark Detection System for Body CT Images