Agenda: - Update on master tracers’ segmentation check - Update validation vs pathology - PMT application submission of “Study on the validation of VSRAD”

Slides:



Advertisements
Similar presentations
Agenda: - Certification Platform: performance for training - I round - II round -Feedback from naives - Beta testers proposals - Congress presentations.
Advertisements

Agenda: - Update master tracers - Update validation vs pathology - Hippocampal 3D Object for AR Visualization - Papers - Next congress presentations &
Memory Tasks Performance Correlates with Hippocampal Volume in amnestic MCI but not in Healthy Subjects – Some Preliminary Findings. Mario Baglivo 1),
Development of a harmonized protocol for hippocampal tracing An EADC-ADNI joint effort 4 th Meeting, Paris, July 20, 2011 Principal Investigators: Giovanni.
Agenda: - Validation vs Pathology - Congress presentations & Meetings - Paper publication VI PMT meeting – Feb 1, 2011.
Answers to previous TC issues: - Demographic features of the selected subjects (age, sex, disease, ApoE) - Check for SIEMENS-Allegra scans at 3T for the.
Longitudinal Skull Strip A Product of the IDeA Lab Mario Ortega.
Agenda: - Hippocampal Label Expansion project - Certification Platform: performance/criteria - Questionnaire - Congress presentations - Papers XV PMT meeting.
2005 All Hands Meeting Multi-Site Alzheimer’s Disease Project a.k.a. “MAD” Project Leaders: C. Fennema-Notestine, R. Gollub, B. Dickerson.
Agenda: - New benchmark ICC and Dice’s - Training set for Naïve - Beta testers proposals - Congress presentations XII PMT meeting – September 26, 2012.
Agenda: - Axes check - Validation vs Pathology - Paper Publications - Congress presentations & Meetings VII PMT meeting – Feb 29, 2012.
Agenda: - Validation Harmonized Protocol: update - Validation vs pathology - Hippocampal Label Expansion project: update - News - Congress presentations.
Agenda: - Certification Platform: Training - I round - Beta testers proposals - Congress presentations - Paper “check for axes” XIII PMT meeting – October.
Reproducibility of diffusion tractography E Heiervang 1,2, TEJ Behrens 1, CEM Mackay 3, MD Robson 3, H Johansen-Berg 1 1 Centre for Functional MRI of the.
CSF tau Is it an informative biomarker of AD pathology Chris Clark Alzheimer’s Disease Center University of Pennsylvania.
1/44 Early Detection Of Alzheimer’s Disease Based on Cortical Thickness Measurements Master’s Thesis Defence Morten Simoni Spjuth Flemming H Gravesen 27.
Volumetric Analysis of Brain Structures Using MR Imaging Lilach Shay, Shira Nehemia Bio-Medical Engineering Dr. Alon Friedman and Dr. Akiva Feintuch Department.
Mild Cognitive Impairment as a Target for Drug Development Steven H. Ferris, Ph.D. Silberstein Aging and Dementia Research Center New York University School.
Brain Changes in 676 ADNI subjects: Summary of 10 Studies using Tensor Based Morphometry & Automated Hippocampal Maps Paul Thompson and the UCLA ADNI.
Development of a harmonized protocol for hippocampal tracing An EADC-ADNI joint effort 1 th Project Management Team Meeting August 31, 2011.
Dementia Research Group MRI, rates of atrophy and Alzheimer’s disease Nick Fox Dementia Research Group Institute of Neurology, UCL Queen Square, London.
MNTP Trainee: Georgina Vinyes Junque, Chi Hun Kim Prof. James T. Becker Cyrus Raji, Leonid Teverovskiy, and Robert Tamburo.
Mapping the correlations between CSF Abeta and tau and hippocampal atrophy in 282 ADNI subjects Liana G. Apostolova, Amity E. Green, Kristy S. Hwang, Jonathan.
Quantitative analysis of radiologic images: Image segmentation and registration, statistical atlases Christos Davatzikos, Ph.D. Professor of Radiology.
Defining Mild Cognitive Impairment Steven T.DeKosky, M.D. Director, Alzheimer’s Disease Research Center University of Pittsburgh Pittsburgh, PA.
Agenda: - Axes check - Validation vs Pathology - Publication Policy - Paper Publications - Congress presentations & Meetings VIII PMT meeting – Mar 21,
2004 All Hands Meeting Morphometry BIRN: Milestones for 2005 Jorge Jovicich PhD Steve Pieper, PhD David Kennedy, PhD.
Focal atrophy in dementia with Lewy bodies on MRI: a distinct pattern from Alzheimer's disease by Jennifer L. Whitwell, Stephen D. Weigand, Maria M. Shiung,
HOW CAN NEUROIMAGING HELP UNDERSTAND, DIAGNOSE, AND DEVELOP TREATMENTS FOR ALZHEIMER'S DISEASE? Part C – AD brain scans - anatomical NUCLEAR MEDICINE GRAND.
QIBA CT Volumetrics Group 1B: (Patient Image Datasets)
MRI as a Potential Surrogate Marker in the ADCS MCI Trial
Alzheimer’s Disease Neuroimaging Initiative STEERING COMMITTEE Michael W. Weiner.
Wei Chen CCNI Journal Club Alzheimer’s disease (AD): imaging & cognition imaging & cognition.
AAN –Toronto, April 11, 2010 Development of a harmonized protocol for hippocampal tracing An EADC-ADNI joint effort METHODS.
Maquire, Gadian, Johnsrude, Good,Ashburner, Frackowiak & Frith Navigation-Related Structural Changes in the Hippocampi of taxi-drivers Zachary Saadon Brian.
conflicts of interest to report.
PharmaCog WP5 / E-ADNI. Enrollment and follow-ups Clinical sites Maximum Minimum PATIENTS EXPECTED.
References [1] Coupé et al., An optimized blockwise nonlocal means denoising filter for 3-D magnetic resonance images. IEEE TMI, 27(4):425–441, 2008.
UCI Progress MBIRN AHM. Progress Tool Development –FIPS and HID: Modifications to store derived data, including morphometric measures from Freesurfer.
J OURNAL C LUB : S Magon, et al. University Hospital Basel, Switzerland “Label-Fusion-Segmentation and Deformation-Based Shape Analysis of Deep Gray Matter.
Apolipoprotein E and Gray Matter Loss in Mild Cognitive Impairment and Alzheimer’s Disease Spampinato MV, Goldsberry G, Mintzer J, Rumboldt Z Medical University.
Update and Thank you to participants Bradley Hyman MD PhD Director, Mass ADRC ViceChair, Neurology, Massachusetts General Hospital.
COMPARATIVE LATERALIZING ABILITY of MULTIMODALITY MR IMAGING in TEMPORAL LOBE EPILEPSY ¹ Karabekir Ercan, M.D. ¹ ¹ H.Pinar Gunbey, M.D. ¹ ¹ Elcin Zan,
Sven Haller Haller, Nguyen, Rodriguez, Emch, Gold, Bartsch, Lovblad, Giannakopoulos.
The UNIVERSITY of NORTH CAROLINA at CHAPEL HILL FVGWAS: Fast Voxelwise Genome Wide Association Analysis of Large-scale Imaging Genetic Data Tutorial: pipeline,
Accuracy, Reliability, and Validity of Freesurfer Measurements David H. Salat
Maguire Physiological Psychology The Core Studies.
Kim HS Introduction considering that the amount of MRI data to analyze in present-day clinical trials is often on the order of hundreds or.
UC Davis Alzheimer’s Disease Center The Residual Approach to Measuring Cognitive Reserve in Aging and Dementia Bruce Reed & Dan Mungas University of California,
Baseline and longitudinal patterns of brain atrophy in MCI patients, and their use in prediction of Short- term conversion to AD: Results from ADNI Xuejiao.
DECIDE: "Scientific and Clinical Perspectives“: Claudio Babiloni (UNIFG) and Giovanni Frisoni (IRCCS Brescia)
INDIA - ADNI Dr Naren Rao
Rosa Maria Moresco University of Milan Bicocca
Alzheimer’s Disease Neuroimaging Initiative 3 (ADNI 3)
Use of Amyloid PET Scan in Early Diagnosis of Alzheimer’s Disease in a Secondary Care Memory Clinic Niki Schoonenboom, MD PhD1, Mohammed Akarriou, MD2;
- Volumetric MRI Analysis of The Prefrontal Cortex in Patients With
Imaging AD Progression Amyloid Imaging Agents.
conflicts of interest to report.
INDIA - ADNI Dr Naren Rao
A Network Diffusion Model of Disease Progression in Dementia
Michael Ewers, Reisa A. Sperling, William E. Klunk, Michael W
Biomarker Modeling of Alzheimer’s Disease
Segmentation Project Kickoff Meeting
MultiModality Registration using Hilbert-Schmidt Estimators
Automating stroke lesion segmentation in brain images using a multi-model multi-path convolutional neural network Yunzhe.
Figure 1 NMF in ADD patients and classification of prodromal Alzheimer’s disease participants. Grey matter ... Figure 1 NMF in ADD patients and classification.
HIPVASC Results and MRI Update
Defining diagnostic brain MRI markers in early MSA
Atrophied Brain T2 Lesion Volume at MRI Is Associated with Disability Progression and Conversion to Secondary Progressive Multiple Sclerosis The rate.
Presentation transcript:

Agenda: - Update on master tracers’ segmentation check - Update validation vs pathology - PMT application submission of “Study on the validation of VSRAD” (dr M. Nishikawa) - Benchmark: possible issues for platform XI PMT meeting – July 3, 2012

Benchmark Images ADNI scans: 2 x 5 Scheltens’s atrophy score x 2 sides x 2 magnet strengths (1.5-3T) Total per rater: 40 hippos 5 Master Tracers’ segmentations: Mapped in overlap on correspondent MRI Checked and reported causes for overlapping discrepancies at 1.5T Improved Harmonized Protocol in many points Masters asked to correct if they agree, or to discuss the issue if they disagree with the corrections

Benchmark Images Overlapping agreement Volume ICCs 1.5T images: T images: 0.75

Validation vs Pathology

Validation versus pathology Tracer (to be defined whether GP will segment all datasets, or if each centre will provide its tracer - waiting for LA answer on privacy issues) Segmentation based on Harmonized Protocol: 60 ante mortem 46 postmortem MRIs 106 images Analysis based on the information available for each dataset Mayo Clinic ~50 AD + MCI + CTRL dataset with pathologically confirmed diagnosis (Braak’s stages), antemortem left hippocampal measurement (Manual and Freesurfer) Only volumetric measures to be shared Mony DeLeon 9 AD + 4 CTRL at 1.5T (T1) 13 postmortem and 2 AD antemortem 9 AD + 1 CTRL at 1.5T (PD) 10 postmortem and 8 AD antemortem (Neuron, plaque and tangle counts, Braak’s stages, abeta, tau, histological volumetry, CA1 definition only on PD), 3mm, coronal, no 3D navigation one side hippocampal measurement (Manual. MIDAS) Images and volumetric measures can be shared Liana Apostolova (23 hippos at 7T) CA1 neuronal counts, tau and Abeta immunoreactivity measures

Validation versus pathology Originally designated sample: (Bobinski et al., 2000) 11 AD + 4 CTRL postmortem MRI and quantitative histology de Leon: 9 AD + 4 CTRL at 1.5T (T1) and 9 AD + 1 CTRL at 1.5T (PD) 23 postmortem and 10 AD antemortem Neuron, plaque and tangle counts, Braak’s stages, abeta, tau, histological volumetry (CA1 definition only on PD) 3mm, coronal, no 3D navigation one side hippocampal measurement (Manual, MIDAS) Jack: ~50 AD + MCI + CTRL antemortem MRIs with pathologically confirmed diagnosis (Braak’s stages). Volumes of left Hippocampus (Manual and Freesurfer). No post-mortem hippocampal measurement Liana? 23 (one side only) 7T 60-hour postmortem scans (in progress: CA1 neuronal counts, tau and Abeta immunoreactivity measures)

“Study on the validation of VSRAD” Dr. Masami Nishikawa VSRAD (Voxel-based Specific Regional analysis system for Alzheimer’s Disease): automatic VBM-based software for hippocampal atrophy. Project aim: to validate the new version of VSRAD, comparing it versus the Harmonized Protocol as the gold standard method to manually measure hippocampal volume. Subjects: 22 AD, 19 MCI, 18 controls + 3 healthy volunteers that served as human phantoms for the pilot E-ADNI project (Frisoni et al., 2008): scanned by the 7 different machines. Hippocampal segmentations carried out on these subjects will serve not only the aims of the present project, but will also contribute to provide data that will add to the validation of the Harmonized Protocol. PMT application submission

Benchmark Maps: CSF exclusion Harmonized Protocol criteria: internal CSF pools must be properly and independently segmented and excluded MultiTracer: using one label generates higher variability in segmentations, since every tracer will "connect" somehow the internal pool to the external CSF Solution: To segment the internal pools with an additional label, that will be used to subtract both volume and segmented voxels.

Benchmark Maps: plausible variability

Papers describing the project Survey of protocols (preliminary phase; published, JAD 2011) Operationalization (preliminary phase; I revision, Alzheimer’s & Dementia, MS n. ADJ-D ) Axes check short report (Brescia Team, in progress) Delphi consensus (Brescia Team, in progress) Master tracers’ practice and reliability (Brescia Team, in progr) Development of certification platform (Duchesne and coll) Validation data and Protocol definition + Protocol (Brescia Team) Validation vs pathology (TBD) DONE IN PROGRESS PLANNED

VALIDATION VS CURRENT PROTOCOLS ASSESSMENT OF SOURCES OF VARIANCE TRAINING SET DEVELOPMENT VALIDATION VS PATHOLOGY GOLD STANDARD Harmonized Protocol ADNI scans: 2 x 5 Scheltens’s atrophy score x 2 sides x 2 magnet strengths (1.5-3T) Total per rater: 40 hippos Harmonized Protocol ADNI scans: 2 sides x 5 Scheltens’s atrophy scores x 3 time points (bl-1y-2y) x 3 scanners (+ bl) x 2 magnet strengths (1.5-3T) Total per rater: 240 hippos Assessment of variance due to rater and center Local Protocol ADNI scans: 2 x 5 Scheltens’s atrophy scores x 2 sides x 2 magnet strengths (1.5-3T) Harmonized Protocol ADNI scans: 2 x 5 Scheltens’s atrophy score x 2 sides x 2 magnet strength (1.5-3T) Total per rater: 40 hippos Harmonized Protocol: Pathological datasets: Mayo Clinic and NYU Total: about 40 hippos Training ADNI scans: 10 at 1.5T x 2 sides x 7 SUs x 2 tracing rounds Total per rater: 40 hippos 20 naïve tracers5 master tracers 1 tracer REFERENCE PROBABILISTIC MASKS with 95% C.I. QUALIFICATION Best 5 naïve tracers Assessment of variance due to side, trace-retrace, atrophy, time, scanner, rater TRAINING SET Assessment of agreement with volume on pathology or ex vivo MRI and correlation with neuronal density

GANTT