Recurring Meeting of Cleveland Clinic Core Team

Date: January 12, 2016

Time: 10:30 AM EST

Means: In person meeting

Attendees:

1. Ahmet Erdemir
2. Craig Bennetts
3. Snehal Chokhandre
4. Robb Colbrunn
5. Jason Halloran (Cleveland State University)
6. Will Zaylor (Cleveland State University)

Agenda:

1. Discuss immediate action items from the last meeting.
2. Discuss first drafts of data manuscripts.
3. Decide immediate action items for the next meeting.
4. Other.

Immediate Action Items:

• Ahmet
  • Work on segmentation of MCL of oks001.
  • Read first draft of magnetic resonance imaging manuscript.
• Craig
  • Start incorporating manual segmentation details into segmentation specifications.
  • Incorporate oks001 registration marker segmentations from summer students work to oks001 segmentation set.
  • Expand documentation on registration marker segmentation.
• Ahmet and Craig
  • Meet to finalize segmentation labeling specifications.
• Snehal
  • Change protocols for tissue testing to separate zero load displacement estimation using "find contact".
  • Expand documentation of the results of tissue testing protocol evaluations.
  • Update tissue testing analysis script to identify zero force displacement (next two weeks).
  • Write a Python script for manual identification of tissue thickness from tissue images (next two weeks).
• Jason
  • Provide the background for the patellofemoral joint testing manuscript.
• Robb
  • Complete the first draft of the patellofemoral joint testing manuscript.
  • Read the manuscript on magnetic resonance imaging paper.
• Tara
  • Review sections of the patellofemoral joint testing manuscript.

Ongoing Action Items:

DEADLINE FOR SECOND DRAFT DATA PAPERS IS APRIL 1, 2016

• Ahmet
  • Prepare flowcharts to describe data flow for pre-processing of joint kinematics/kinetics data.
• Craig
  • Anatomical imaging manuscript.
  • Large-scale analysis of simulation parameters for convergence.
• Snehal
  • Add citations and summaries to tissue data papers to the wiki for potential use to model tissue properties.
  • Pivot shift manuscript.

  • Cruciate ligament modeling & simulation.

• Robb
  • Patellofemoral joint experimentation manuscript.
• Tara
  • Tibiofemoral joint experimentation manuscript.

Notes:

1. Discuss immediate action items from the last meeting.
   • Ahmet read the segmentation wiki and found it clear and informative. To complete the specifications the following activities were identified. Craig will incorporate Katie Stemmer's instructions on manual segmentation using Slicer. Craig will also provide more detail on segmentation of registration markers and incorporate Connor Lough's segmentation results. Craig and Ahmet will also have a discussion to finalize the naming convention of the files.
   • Ahmet loaded up oks001 images and segmentations in Slicer. The group tried to localize the medial collateral ligament insertion and origin and its boundaries. Ahmet will work on the segmentation of the medial collateral ligament to finalize oks001 segmentation.
   • Ahmet mentioned Convert3D, a command line software to manipulate images, e.g. interpolation, sampling, alignment. It can be downloaded at ITK Snap site. The software works with NIfTI files and can be used to uniformly resample Open Knee(s) images to better utilize multiple sets for segmentation.
   • Craig got NIfTI files from Ahmet and prepared the harddrive for Carl Winalski. He contacted Carl Winalski to set up a meeting to give him the image sets.
   • Snehal worked on determining lowest forces for "find contact" based on tissue types and tests. For unconfined compression testing of meniscus the 150 g load cell have to be used. With filtering, the lowest forces that can be identified with "find contact" will be appropriate for all tissue types. Snehal needs to update tissue testing protocols to separate initial "find contact" step. Shenal and Craig also provided data on buoyancy and inertial forces, the measured peaks (under different test settings) will not necessarily interfere with data collection based on expected forces during tissue testing. For unconfined compression of meniscus, the team may need to pay attention as zeroing forces get close to buoyancy effects. Snehal and Craig also conducted repeatability of length measurements of tensile specimens on Mach-1 system. The accuracy appears to be less than 1%. The wiki page on tissue testing protocol evaluations contains more quantitative and detailed information. Snehal will add more details and figures to complete the documentation. She will conduct sample cartilage tensile testing. She still needs to finalize the scripts for tissue thickness measurement and for tissue testing data analysis.
   • Snehal e-mailed Martin Garon (of Biomomentum Inc.) about calibration issues for the 150 g load cell. She has not received any feedback yet. Snehal and Craig mentioned calibration discrepancies when using a 100 g calibration piece with the 150 g load cell, i.e. force transducer measuring ~98 g. Robb and Ahmet advised Snehal to ask Martin Garon about calibration procedure details.
2. Discuss first drafts of data manuscripts.
   • The first draft for the imaging manuscript is ready for review. Robb and Ahmet will review.
   • Tara completed the first draft of the tibiofemoral joint testing manuscript.
   • Robb needs to complete the first draft of the patellofemoral joint testing manuscript. Jason still needs to provide background information. Tara will read the sections to provide feedback to Robb.
3. Decide immediate action items for the next meeting.
   • See Immediate Action Items above.
4. Other.
   • Will showed his work on visualization of knee joint testing. He utilizes oks001 data, registering MRI to joint mechanics data using registration markers. He also provided ligament recruitment patterns based on their length calculated from insertion to origin. Uncertainty of insertion and origin locations were plotted as an envelope of length measurements. This study can be a good segway to Snehal's anticipated work on kinematics driven continuum models of cruciate ligaments.