Related Experiment Video
Updated: Oct 18, 2025
15:18
Near Infrared Optical Projection Tomography for Assessments of β-cell Mass Distribution in Diabetes Research
Published on: January 12, 2013
16.6K
Near-infrared optical spectroscopy for pancreas shrinkage estimation with multi synchrosqueezing transform and
Indra Priyadharshini S1, Vigilson Prem M1, Suresh K2
1Department of Computer Science and Engineering, RMK College of Engineering and Technology, Puduvoyal, India.
Microscopy Research and Technique
|September 29, 2021
Summary
This study introduces a novel method using near-infrared spectroscopy and multi synchrosqueezing transform to accurately estimate pancreas shrinkage by analyzing beta cell function and insulin secretion. This technique offers an 88% accurate, non-invasive approach for early detection of pancreatic changes.
Area of Science:
- Biomedical Engineering
- Medical Imaging
- Spectroscopy
Background:
- Pancreas structure estimation traditionally relies on MRI and ultrasound.
- Pancreatic changes, including islet cell death, affect insulin secretion.
- Diabetic individuals exhibit varying beta cell insulin secretion.
Purpose of the Study:
- To propose a novel method for estimating pancreas shrinkage.
- To correlate beta cell insulin secretion with pancreas structure.
- To enable early detection of pancreatic apoptosis.
Main Methods:
- Near-infrared (NIR) spectroscopy to detect islet cells in the pancreas.
- Multi synchrosqueezing transform (MSST) for analyzing NIR signals.
- Multivariate regression model using Root Mean Square (RMS) and kurtosis to evaluate pancreas shrinkage.
Main Results:
- NIR spectroscopy signals were acquired from 40 participants (20 diabetic, 20 non-diabetic).
- Pancreas shrinkage was estimated with 88% accuracy.
- Results were validated using MRI pancreas images.
Conclusions:
- The proposed method accurately estimates pancreas shrinkage.
- This technique aids in the early detection of pancreatic apoptosis.
- Pancreas shrinkage is linked to reduced insulin secretion and blood glucose variability in diabetics.
