THAITI

TrustwortHy Artificial Intelligence for Inversion Time - Patented AI for Cardiac MRI optimization

THAITI is a patented AI-based methodology (IT102022000017907) designed for the automatic estimation of Inversion Time (TI) in Cardiac Magnetic Resonance (CMR).

In CMR with late-gadolinium enhancement, selecting the correct TI is critical: it ensures that healthy myocardium appears black, providing the maximum contrast against scar tissue. THAITI replaces manual, error-prone estimation with a precision-medicine approach, reducing costs and preventing the need for repeated exams.

Patented Technology Shark Tank Award Winner
THAITI Logo

The Challenge: Precision in CMR

Inversion Time is the interval between two RF pulses that directly influences image contrast.

  • The Problem: Usually manually estimated or requiring multiple “scout” acquisitions, leading to wasted time and inconsistent image quality.
  • The Risk: Poor TI selection results in non-diagnostic images, potentially leading to inaccurate diagnoses or expensive re-scans.
  • The Solution: THAITI leverages a model trained to estimate the optimal patient-specific TI interval, enabling true precision medicine in the radiology suite.

International Recognition

THAITI has been recognized by both the medical and technical communities for its high Technology Readiness Level (TRL) and translational value:

  • Best Abstract Award: Italian Society of Cardiology (SIC).
  • “Shark Tank” Award: Global CMR 2024 Conference (London, UK).

Project Highlights

Translational AI

Developed by a multidisciplinary team from Istituto Auxologico Italiano, UNIMIB, and Ca’ Foscari.

Workflow Efficiency

Eliminates the need for manual TI scouting, saving valuable scanner time and resources.

Market Ready

International PCT application filed. Currently looking for investors to bring THAITI to the clinical market. See our patent details.

Core Publication

2023

  1. Use of artificial intelligence to automatically predict the optimal patient-specific inversion time for late gadolinium enhancement imaging. Tool development and clinical validation
    C Torlasco, DM Papetti, S Castelletti, and 7 more authors
    European Heart Journal-Cardiovascular Imaging, 2023

2022

  1. 506 TECHNIQUES OF ARTIFICIAL INTELLIGENCE FOR THE DETERMINATION OF THE OPTIMAL INVERSION TIME: THE THAITI PROJECT
    Camilla Torlasco, Daniele M Papetti, Maria Sabatini, and 8 more authors
    European Heart Journal Supplements, 2022