SlideShare une entreprise Scribd logo
1  sur  26
Télécharger pour lire hors ligne
Anatomical correlations for a hierarchical
multi-atlas segmentation of CT images
Oscar A. Jiménez del Toro
University of Applied Sciences
Western Switzerland
(HES-SO)
Overview
•  Motivation
•  VISCERAL
•  Method
•  Multi-atlas segmentation
•  Image registration
•  Hierarchical registration approach
•  Experimental setup
•  Results
•  Conclusion
2
Overview
•  Motivation
•  VISCERAL
•  Method
•  Multi-atlas segmentation
•  Image registration
•  Hierarchical registration approach
•  Experimental setup
•  Results
•  Conclusion
3
Motivation
•  Anatomical segmentation is fundamental for
further image analysis and Computer-Aided
Diagnosis1
•  Manual annotation and visual inspection is
time consuming for radiologists
•  Accurate large scale data analysis
techniques are needed
1 K.Doi. Current status and future potential of computer-aided diagnosis in medical
imaging. British Journal of Radiology, 78:3-19, 2005.
4
VISCERAL Benchmarks
•  Automatic segmentation of
anatomical structures (20)
– Visceral Benchmark 1: 12
ceCT test volumes*10
structures
– ISBI challenge: 5 ceCT, 5
wbCT test volumes*10
structures
•  CT and MR images
(contrast-enhanced and
non-enhanced)
Overview
•  Motivation
•  VISCERAL
•  Method
•  Multi-atlas segmentation
•  Image registration
•  Hierarchical registration approach
•  Experimental setup
•  Results
•  Conclusion
6
Overview
•  Motivation
•  VISCERAL
•  Method
•  Multi-atlas segmentation
•  Image registration
•  Hierarchical registration approach
•  Experimental setup
•  Results
•  Conclusion
7
Hierarchical multi-atlas segmentation
•  Use multiple atlases for the
estimation on a target
image
•  Global and local alignment
•  Hierarchical selection of the
registrations improves
results2
•  Label fusion
2Jiménez del Toro et.al., Multi-structure Atlas-Based Segmentation using Anatomical
Regions of Interest. In proceeding of: Medical Image Computing and Computer Assisted
Intervention (MICCAI2013) MCV workshop, Nagoya, Japan, 2013
Image Registration
•  Atlas =
Patient volume + labels
•  Coordinate transformation
that increases spatial
correlation between images
•  Multi-scale gaussian pyramid
Affine alignment
•  Global
Affine alignment
•  Global
Affine alignment
•  Global
Affine alignment
•  Global
•  Local refinement for
independent structures
Affine alignment
•  Global
•  Local refinement for
independent structures
•  Regions of interest based on
the morphologically dilated
initial estimations
Affine alignment
•  Global
•  Local refinement for
independent structures
•  Regions of interest based on
the morphologically dilated
initial estimations
Affine alignment
•  Global
•  Local refinement for
independent structures
•  Regions of interest based on
the morphologically dilated
initial estimations
Right
Kidney
Liver
Global
alignment
Urinary
Bladder
Right
Lung
Left
Lung
1st Lumbar
Vertebra
Gall-
bladder
Left
KidneyTrachea
Spleen
2nd Local
Affine
Hierarchical Registration approach
Affine
Local Affine
B-spline non-
rigid
Non-rigid alignment
•  Non-rigid
•  B-spline
•  Multi-scale approach
•  Faster optimization
due to better initial
alignment
Label fusion
•  Majority voting threshold
•  Classification on a per-voxel
basis
•  Local registration errors are
reduced
•  Threshold optimization
Overview
•  Motivation
•  VISCERAL
•  Method
•  Multi-atlas segmentation
•  Image registration
•  Hierarchical registration approach
•  Experimental setup
•  Results
•  Conclusion
20
Overview
•  Motivation
•  VISCERAL
•  Method
•  Multi-atlas segmentation
•  Image registration
•  Hierarchical registration approach
•  Experimental setup
•  Results
•  Conclusion
21
Experimental setup
•  VISCERAL ISBI testset
•  5 contrast-enhanced CT volumes of the trunk
•  5 non-enhanced whole body CT
•  Applied to 10 anatomical structures:
– Liver, lungs, kidneys, gallbladder, urinary bladder,
1st lumbar vertebra, trachea and spleen
•  7 independent atlases as trainingset
Results ISBI Challenge
Structure DICE ceCT DICE wbCT
Liver 0.908 0.823
Right Kidney 0.905 0.649
Left Kidney 0.923 0.678
Right Lung 0.963 0.967
Left Lung 0.952 0.969
Spleen 0.859 0.677
Trachea 0.83 0.855
Gallbladder 0.4 0.271
Urinary bladder 0.68 0.616
1st Lumbar vertebra 0.472 0.44
Results ISBI Challenge
Structure DICE ceCT DICE wbCT
Liver 0.908 0.823
Right Kidney 0.905 0.649
Left Kidney 0.923 0.678
Right Lung 0.963 0.967
Left Lung 0.952 0.969
Spleen 0.859 0.677
Trachea 0.83 0.855
Gallbladder 0.4 0.271
Urinary bladder 0.68 0.616
1st Lumbar vertebra 0.472 0.44
Conclusion
•  Straightforward and fully automatic method
•  Showed robustness in the segmentation of
multiple structures with high overlap for the
bigger structures (e.g. kidneys, liver, lungs)
•  Smaller structures fared well compared to the
other approaches
•  Future work:
–  Extend to method to other modalities (CTwb ISBI challenge, MR)
–  Improve speed of the algorithm
Questions???

Contenu connexe

Similaire à Anatomical correlations for a hierarchical multi-atlas segmentation of CT images

VISCERAL challenge ISBI 2014 presentation
VISCERAL challenge ISBI 2014 presentationVISCERAL challenge ISBI 2014 presentation
VISCERAL challenge ISBI 2014 presentation
Oscar Jimenez
 
Region-based volumetric medical image retrieval
Region-based volumetric medical image retrievalRegion-based volumetric medical image retrieval
Region-based volumetric medical image retrieval
Institute of Information Systems (HES-SO)
 
Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...
Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...
Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...
HMO Research Network
 
Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...
Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...
Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...
HMO Research Network
 

Similaire à Anatomical correlations for a hierarchical multi-atlas segmentation of CT images (20)

VISCERAL challenge ISBI 2014 presentation
VISCERAL challenge ISBI 2014 presentationVISCERAL challenge ISBI 2014 presentation
VISCERAL challenge ISBI 2014 presentation
 
Anatomical correlations for a hierarchical multi-atlas segmentation of the pa...
Anatomical correlations for a hierarchical multi-atlas segmentation of the pa...Anatomical correlations for a hierarchical multi-atlas segmentation of the pa...
Anatomical correlations for a hierarchical multi-atlas segmentation of the pa...
 
Evaluation of a Hierarchical Anatomical Segmentation Approach in VISCERAL Ana...
Evaluation of a Hierarchical Anatomical Segmentation Approach in VISCERAL Ana...Evaluation of a Hierarchical Anatomical Segmentation Approach in VISCERAL Ana...
Evaluation of a Hierarchical Anatomical Segmentation Approach in VISCERAL Ana...
 
Proposing an Accelerated Magnetic Resonance Spectroscopic Imaging Acquisition...
Proposing an Accelerated Magnetic Resonance Spectroscopic Imaging Acquisition...Proposing an Accelerated Magnetic Resonance Spectroscopic Imaging Acquisition...
Proposing an Accelerated Magnetic Resonance Spectroscopic Imaging Acquisition...
 
Quantifying the clinical benefits of new imaging technologies: A technology a...
Quantifying the clinical benefits of new imaging technologies: A technology a...Quantifying the clinical benefits of new imaging technologies: A technology a...
Quantifying the clinical benefits of new imaging technologies: A technology a...
 
Rrecent advances in linear accelerators [MR linac]
Rrecent advances in linear accelerators [MR linac]Rrecent advances in linear accelerators [MR linac]
Rrecent advances in linear accelerators [MR linac]
 
Medical 3D data retrieval
Medical 3D data retrievalMedical 3D data retrieval
Medical 3D data retrieval
 
Region-based volumetric medical image retrieval
Region-based volumetric medical image retrievalRegion-based volumetric medical image retrieval
Region-based volumetric medical image retrieval
 
Artificial Intelligence in Radiation Oncology.pptx
 Artificial Intelligence in Radiation Oncology.pptx Artificial Intelligence in Radiation Oncology.pptx
Artificial Intelligence in Radiation Oncology.pptx
 
Image registraiton in Radiation Therapy
Image registraiton in Radiation TherapyImage registraiton in Radiation Therapy
Image registraiton in Radiation Therapy
 
Overview of ImageCLEF 2014
Overview of ImageCLEF 2014Overview of ImageCLEF 2014
Overview of ImageCLEF 2014
 
Lung_Cancer_Detection_Presentation.pptx
Lung_Cancer_Detection_Presentation.pptxLung_Cancer_Detection_Presentation.pptx
Lung_Cancer_Detection_Presentation.pptx
 
Pathomics Based Biomarkers, Tools, and Methods
Pathomics Based Biomarkers, Tools, and MethodsPathomics Based Biomarkers, Tools, and Methods
Pathomics Based Biomarkers, Tools, and Methods
 
Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...
Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...
Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...
 
Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...
Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...
Patient Selection for Primary Prevention Implantable Cardioverter Defibrillat...
 
Diagnosis Support by Machine Learning Using Posturography Data
Diagnosis Support by Machine Learning Using Posturography DataDiagnosis Support by Machine Learning Using Posturography Data
Diagnosis Support by Machine Learning Using Posturography Data
 
A Real-Time Prostate Cancer Radiotherapy Research Database
A Real-Time Prostate Cancer Radiotherapy Research DatabaseA Real-Time Prostate Cancer Radiotherapy Research Database
A Real-Time Prostate Cancer Radiotherapy Research Database
 
Image Guided Radiotherapy
Image Guided RadiotherapyImage Guided Radiotherapy
Image Guided Radiotherapy
 
diagnostic technique.pptx
diagnostic technique.pptxdiagnostic technique.pptx
diagnostic technique.pptx
 
Image guided adaptive radiotherapy
Image guided adaptive radiotherapyImage guided adaptive radiotherapy
Image guided adaptive radiotherapy
 

Plus de Institute of Information Systems (HES-SO)

Plus de Institute of Information Systems (HES-SO) (20)

MIE20232.pptx
MIE20232.pptxMIE20232.pptx
MIE20232.pptx
 
Classification of noisy free-text prostate cancer pathology reports using nat...
Classification of noisy free-text prostate cancer pathology reports using nat...Classification of noisy free-text prostate cancer pathology reports using nat...
Classification of noisy free-text prostate cancer pathology reports using nat...
 
Machine learning assisted citation screening for Systematic Reviews - Anjani ...
Machine learning assisted citation screening for Systematic Reviews - Anjani ...Machine learning assisted citation screening for Systematic Reviews - Anjani ...
Machine learning assisted citation screening for Systematic Reviews - Anjani ...
 
Exploiting biomedical literature to mine out a large multimodal dataset of ra...
Exploiting biomedical literature to mine out a large multimodal dataset of ra...Exploiting biomedical literature to mine out a large multimodal dataset of ra...
Exploiting biomedical literature to mine out a large multimodal dataset of ra...
 
L'IoT dans les usines. Quels avantages ?
L'IoT dans les usines. Quels avantages ?L'IoT dans les usines. Quels avantages ?
L'IoT dans les usines. Quels avantages ?
 
Studying Public Medical Images from Open Access Literature and Social Network...
Studying Public Medical Images from Open Access Literature and Social Network...Studying Public Medical Images from Open Access Literature and Social Network...
Studying Public Medical Images from Open Access Literature and Social Network...
 
Risques opérationnels et le système de contrôle interne : les limites d’un te...
Risques opérationnels et le système de contrôle interne : les limites d’un te...Risques opérationnels et le système de contrôle interne : les limites d’un te...
Risques opérationnels et le système de contrôle interne : les limites d’un te...
 
Le contrôle interne dans les administrations publiques tient-il toutes ses pr...
Le contrôle interne dans les administrations publiques tient-il toutes ses pr...Le contrôle interne dans les administrations publiques tient-il toutes ses pr...
Le contrôle interne dans les administrations publiques tient-il toutes ses pr...
 
Le système de contrôle interne : Présentation générale, enjeux et méthodes
Le système de contrôle interne : Présentation générale, enjeux et méthodesLe système de contrôle interne : Présentation générale, enjeux et méthodes
Le système de contrôle interne : Présentation générale, enjeux et méthodes
 
Crowdsourcing-based Mobile Application for Wheelchair Accessibility
Crowdsourcing-based Mobile Application for Wheelchair AccessibilityCrowdsourcing-based Mobile Application for Wheelchair Accessibility
Crowdsourcing-based Mobile Application for Wheelchair Accessibility
 
Quelle(s) valeur(s) pour le leadership stratégique ?
Quelle(s) valeur(s) pour le leadership stratégique ?Quelle(s) valeur(s) pour le leadership stratégique ?
Quelle(s) valeur(s) pour le leadership stratégique ?
 
A 3-D Riesz-Covariance Texture Model for the Prediction of Nodule Recurrence ...
A 3-D Riesz-Covariance Texture Model for the Prediction of Nodule Recurrence ...A 3-D Riesz-Covariance Texture Model for the Prediction of Nodule Recurrence ...
A 3-D Riesz-Covariance Texture Model for the Prediction of Nodule Recurrence ...
 
Challenges in medical imaging and the VISCERAL model
Challenges in medical imaging and the VISCERAL modelChallenges in medical imaging and the VISCERAL model
Challenges in medical imaging and the VISCERAL model
 
NOSE: une approche Smart-City pour les zones périphériques et extra-urbaines
NOSE: une approche Smart-City pour les zones périphériques et extra-urbainesNOSE: une approche Smart-City pour les zones périphériques et extra-urbaines
NOSE: une approche Smart-City pour les zones périphériques et extra-urbaines
 
Medical image analysis and big data evaluation infrastructures
Medical image analysis and big data evaluation infrastructuresMedical image analysis and big data evaluation infrastructures
Medical image analysis and big data evaluation infrastructures
 
Medical image analysis, retrieval and evaluation infrastructures
Medical image analysis, retrieval and evaluation infrastructuresMedical image analysis, retrieval and evaluation infrastructures
Medical image analysis, retrieval and evaluation infrastructures
 
How to detect soft falls on devices
How to detect soft falls on devicesHow to detect soft falls on devices
How to detect soft falls on devices
 
FUNDAMENTALS OF TEXTURE PROCESSING FOR BIOMEDICAL IMAGE ANALYSIS
FUNDAMENTALS OF TEXTURE PROCESSING FOR BIOMEDICAL IMAGE ANALYSISFUNDAMENTALS OF TEXTURE PROCESSING FOR BIOMEDICAL IMAGE ANALYSIS
FUNDAMENTALS OF TEXTURE PROCESSING FOR BIOMEDICAL IMAGE ANALYSIS
 
MOBILE COLLECTION AND DISSEMINATION OF SENIORS’ SKILLS
MOBILE COLLECTION AND DISSEMINATION OF SENIORS’ SKILLSMOBILE COLLECTION AND DISSEMINATION OF SENIORS’ SKILLS
MOBILE COLLECTION AND DISSEMINATION OF SENIORS’ SKILLS
 
Enhanced Students Laboratory The GET project
Enhanced Students Laboratory The GET projectEnhanced Students Laboratory The GET project
Enhanced Students Laboratory The GET project
 

Dernier

EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
Earley Information Science
 

Dernier (20)

Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdfThe Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
The Role of Taxonomy and Ontology in Semantic Layers - Heather Hedden.pdf
 
2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...2024: Domino Containers - The Next Step. News from the Domino Container commu...
2024: Domino Containers - The Next Step. News from the Domino Container commu...
 
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time AutomationFrom Event to Action: Accelerate Your Decision Making with Real-Time Automation
From Event to Action: Accelerate Your Decision Making with Real-Time Automation
 
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
08448380779 Call Girls In Diplomatic Enclave Women Seeking Men
 
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men08448380779 Call Girls In Greater Kailash - I Women Seeking Men
08448380779 Call Girls In Greater Kailash - I Women Seeking Men
 
08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men08448380779 Call Girls In Civil Lines Women Seeking Men
08448380779 Call Girls In Civil Lines Women Seeking Men
 
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...Workshop - Best of Both Worlds_ Combine  KG and Vector search for  enhanced R...
Workshop - Best of Both Worlds_ Combine KG and Vector search for enhanced R...
 
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
04-2024-HHUG-Sales-and-Marketing-Alignment.pptx
 
[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf[2024]Digital Global Overview Report 2024 Meltwater.pdf
[2024]Digital Global Overview Report 2024 Meltwater.pdf
 
Evaluating the top large language models.pdf
Evaluating the top large language models.pdfEvaluating the top large language models.pdf
Evaluating the top large language models.pdf
 
Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024Axa Assurance Maroc - Insurer Innovation Award 2024
Axa Assurance Maroc - Insurer Innovation Award 2024
 
Strategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a FresherStrategies for Landing an Oracle DBA Job as a Fresher
Strategies for Landing an Oracle DBA Job as a Fresher
 
Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024Partners Life - Insurer Innovation Award 2024
Partners Life - Insurer Innovation Award 2024
 
🐬 The future of MySQL is Postgres 🐘
🐬  The future of MySQL is Postgres   🐘🐬  The future of MySQL is Postgres   🐘
🐬 The future of MySQL is Postgres 🐘
 
Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...Driving Behavioral Change for Information Management through Data-Driven Gree...
Driving Behavioral Change for Information Management through Data-Driven Gree...
 
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdfUnderstanding Discord NSFW Servers A Guide for Responsible Users.pdf
Understanding Discord NSFW Servers A Guide for Responsible Users.pdf
 
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
Bajaj Allianz Life Insurance Company - Insurer Innovation Award 2024
 
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptxEIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
EIS-Webinar-Prompt-Knowledge-Eng-2024-04-08.pptx
 
GenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day PresentationGenCyber Cyber Security Day Presentation
GenCyber Cyber Security Day Presentation
 

Anatomical correlations for a hierarchical multi-atlas segmentation of CT images