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History of the National CUP Lab™

History of the National CUP Lab™. Definitions. CUP – Centralized Ultrasound Processing UGC – Ultrasound Guidelines Council The Governing body of beef ultrasound in the USA/NA The CUP Lab™ - Walter & Associates Lab Tech – image interpreter Field Tech – image collector. History of CUP.

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History of the National CUP Lab™

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  1. History of the National CUP Lab™

  2. Definitions • CUP – Centralized Ultrasound Processing • UGC – Ultrasound Guidelines Council • The Governing body of beef ultrasound in the USA/NA • The CUP Lab™ - Walter & Associates • Lab Tech – image interpreter • Field Tech – image collector

  3. History of CUP • 1997 began at Iowa State University (AAA funded project) • Initially set up to be technician driven • Protocols and standards established • Fall 2000 – CUP Lab must leave ISU • January 2001 - Walter & Associates begins operation

  4. The “CUP Lab™” System • Standardized carcass ultrasound image collection and interpretation • Used to insure uniformity and accuracy of carcass ultrasound data for genetic evaluations • Field and lab techs must be UGC certified

  5. UGC • Prior to UGC – ISU controlled all aspects of software, staff, protocols and certifications • July 2001 – US Beef Breeds Council adopts basic structure for UGC • Test and certify both lab and field technicians • Test and certify interpretation software

  6. The National CUP Lab™ • Exclusive CUP software • Hires only UGC Certified Lab Techs • CUP interpretation methods & image quality scoring • Extensive data cross-checking, verification and quality control • Database - consistent data transfer to associations • Archives data and images • Holds field and lab technicians accountable

  7. From the Field • Images collected and sent to Lab • CORF = Chute Order Recording Form • Barn sheets contain ID, scan wt., sex, mgmt., grouping, etc. • Images, barn sheets, CORF, and payment sent to CUP Lab™ (mail, express, FTP, fax) • UICS simplifies this process

  8. Equipment Used • 4 frame grabbers • USB • PXC200 • CX100 • VCE • 4 Ultrasound systems • Aquila • Pie 200 (Classic) • Old Aloka • New Aloka

  9. Images Collected • % IMF – 4-5 images • Ribeye • Rump

  10. Rump

  11. REA

  12. Pfat

  13. Arrival at the CUP Lab™ Images Received Hold Image Loading Interpretation Hold Weights/Matching Cross-Check Reports Association/Breeder

  14. www.cuplab.com

  15. Full Time Staff

  16. Board of Directors

  17. CUP Lab Technicians

  18. Our Lab Technicians • The best and the brightest applicants • Rigorous training • UGC Certified • Ongoing training and oversight

  19. UGC Lab CertificationPass Rate

  20. 2006 Aloka SEP

  21. 2005 Aloka SEP

  22. Centralized Interpretation Advantages • Bias minimized • Interpretations much more consistent • Data reported in standardized electronic format • Added level of integrity due to the unbiased nature of the system

  23. IMF Models

  24. Models History • 1995– ISU Old Aloka • 1997– ISU Classic/Pie 200 • 2001– ILIA Models – Aloka Only • 2007– CUP Lab True Grade IMF models used exclusively

  25. 2002 UGC Software Certification Correlation

  26. IMF Model Problems/Challenges • Dark images • Compressed data (not identifying outlier animals) • Model development on one machine one type of cattle • Box size (ROI) • New frame grabbers and ultrasound machines (PXC200, New Aloka, etc.)

  27. New IMF Model R & D • 2005 our project began to improve models • Sought out highly recognized medical ultrasound expert & software developer • Consulted with respected statistician from ISU to design models

  28. Data collection • 3 types of scanners with 2 frame grabbers each • Scanned within one week of harvest • Angus & X-bred feedlot steers and heifers • 24 hours post-slaughter ribeye slivers were collected and EE analysis was conducted at Iowa State University Meat Lab

  29. Results • Resulting models were tested for fit against multiple systems • Mixed results

  30. Additional Data • Scanned more cattle • Multiple scanners incorporated

  31. Results • New models were just as accurate as the first attempt models (error) • However - more robust IMF calculations across multiple systems • Preliminary research was submitted to UGC Statistical Subcommittee for evaluation

  32. UGC Certification • 76 animal were scanned at 2 Iowa feedlots fall of 2006 • Group 1 - 40 crossbred steers • Group 2 - 36 primarily Angus steers • Ether Extract and our IMF Interpretations submitted to UGC • Statistics were reviewed by UGC Statistical Subcommittee

  33. UGC CUP Software Certification Winter 2006 Harvest Group #1

  34. UGC CUP Software Certification Winter 2006 Harvest Group #2

  35. UGC CUP Software Certification Winter 2006 Overall Statistics

  36. UGC CUP Software Certification Winter 2006Correlation

  37. UGC CUP Software Certification Winter 2006Standard Error

  38. UGC CUP Software Certification Winter 2006%IMF Spread

  39. Other IMF Software Differences

  40. Percent Intramuscular Fat Prediction Models • Dramatic improvement in spread • Lower Standard Error of Prediction • Higher Rank Correlation • Improved Region of Interest (ROI) • Higher Correlation with EE %IMF • USDA Quality Grade Correlation

  41. 2007 IMF Models • Evaluate the new USB frame grabber on the Aquila, Old and New Aloka, and Pie 200 (Classic) at 5 FPS for all traits • UGC evaluated data from 46 steers • Same procedures as 2006

  42. 2007 CUP Lab UGC Software Certification

  43. UGC CUP Software Certification Winter 2007Correlation

  44. UGC CUP Software Certification Winter 2007Standard Error

  45. UGC CUP Software Certification Winter 2007Rank Correlation

  46. UGC CUP Software Certification Winter 2007IMF Spread

  47. UICS

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