Study of Myocardial Scintigraphy Synchronized with Electrocardiogram: Applications to Coronary Insufficiency

EasyChair Preprint 10185

Abstract

The aim of this work is to study the correlation between data from myocardial tomoscintigraphy (MTS) images and data from electrocardiogram (ECG) signals in order to, detect myocardial ischemia in terms of location, intensity, and progression, and optimize this data to obtain more diagnostic information and adapt the treatment of coronary insufficiencies.

Myocardial tomoscintigraphy involves injecting a radiopharmaceutical drug (Sestamibi-99mTc, Tetrofosmin-99mTc, Thallium 201) in two phases: stress and rest. 

The acquisition of images is performed using a dual-head gamma camera synchronized with an ECG. This is known as Synchronized Single-Photon Emission Tomography. These cameras use a crystal (NaITl) and photomultiplier tubes to convert detected gamma rays.

The newer generations of gamma cameras have significantly reduced the injected activities and acquisition durations by replacing the NaI(Tl) crystal with a semiconductor: Cadmium-Zinc-Telluride (CZT).

Other hybrid devices combine a gamma camera with a CT scanner (SPECT-CT). This combination allow for attenuation correction in SPECT images  through the fusion of three-dimensional images from both acquisition techniques.

The ECG is the primary technique used to diagnose cardiovascular diseases. Due to its ease of execution, immediate interpretation, low cost of equipment, and accessibility of the procedure, it is widely used by practitioners and accessible to the population.

Developing an early detection technique from an ECG tracing will enable adequate and rapid management of patients, especially during the silent phase of coronary insufficiency.

By integrating advanced imaging techniques, data analysis, and artificials intelligence, the objective of this study is to highlight the relationship between non-perfused region and the corresponding portion in the ECG, in order to determine the degree of coronary artery stenosis from the electrocardiogram.

Keyphrases: Artificial Intelligence, Coronary Diseases, ECG, Myocardial ischemia Infarction, Tomoscintigraphy

@booklet{EasyChair:10185,
  author    = {Youness El Maadaoui and Abdelaziz Belaguid and Mohamed Aziz Bsiss and Aboubaker Matrane},
  title     = {Study of Myocardial Scintigraphy Synchronized with Electrocardiogram: Applications to Coronary Insufficiency},
  howpublished = {EasyChair Preprint 10185},
  year      = {EasyChair, 2023}}