Search research articles

Search research articles

Related Experiment Videos

Correcting spatial distortion in histological images.

Michael S Breen¹, Tanya L Lancaster, David L Wilson

¹Department of Biomedical Engineering, Case Western Reserve University, Cleveland, OH 44106, USA.

Computerized Medical Imaging and Graphics : the Official Journal of the Computerized Medical Imaging Society

|July 12, 2005

Summary

This summary is machine-generated.

Related Concept Videos

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by

Same author

Convergent molecular signatures across eating disorders and obsessive-compulsive disorder in the human brain.

Cell reports·2026

Same author

Long-read transcriptomics of purified human cortical cell types exposes glial isoform complexity and disease-relevant transcript architecture.

bioRxiv : the preprint server for biology·2026

Same author

Sub-Agatston Coronary Calcification on Non-Contrast Cardiac CT and Cardiovascular Risk.

European journal of preventive cardiology·2026

Same author

Trisomy 21 Drives ADARB1 Overexpression and Premature RNA Recoding in the Developing Fetal Brain.

Nature communications·2026

Same author

A transcriptional program associated with neurotransmission in the living human brain.

Molecular psychiatry·2026

Same author

Immune-mediated inflammatory disease and coronary calcium: Elevated baseline risk and attenuated prognostic gradient.

American journal of preventive cardiology·2026

ABOUT JoVE

Overview Leadership Blog JoVE Help Center

AUTHORS

Publishing Process Editorial Board Scope & Policies Peer Review FAQ Submit

LIBRARIANS

Testimonials Subscriptions Access Resources Library Advisory Board FAQ

RESEARCH

JoVE Journal Methods Collections JoVE Encyclopedia of Experiments Archive

EDUCATION

JoVE Core JoVE Business JoVE Science Education JoVE Lab Manual Faculty Resource Center Faculty Site

Terms & Conditions of Use

We developed an interactive method to correct spatial distortion in histology images, improving registration accuracy with macroscopic and MR images. This technique enhances tissue sample analysis and is applicable to molecular imaging.

Area of Science:

Histopathology
Medical Imaging
Image Analysis

Background:

Spatial distortion is a common issue in histology samples, affecting image registration accuracy.
Accurate registration of histology to other imaging modalities (e.g., MRI) is crucial for comprehensive tissue analysis.

Purpose of the Study:

To describe and evaluate an interactive method for correcting spatial distortion in histology samples.
To demonstrate the registration of histology images to macroscopic photographs and MR images.
To assess the quality and accuracy of the spatial distortion corrections.

Main Methods:

Developed an interactive method for spatial distortion correction using fiducial and anatomical points.
Introduced a new technique for determining boundary correspondence points.

Related Experiment Videos

Utilized color-coded internal and boundary ink marks for validation and error measurement.

Applied and compared four different transformation methods (non-warping, triangle, polynomial, thin plate spline).

Main Results:

Accurate registration required a large number of boundary points (20-30) and at least two internal points.
Thin Plate Spline (TPS) transformation was robust and effective, especially for boundary distortions, despite a slightly higher interior error than non-warping.
The method showed good zonal correlation between MR images and corrected histology samples when evaluating RF thermal ablation.
Non-warping transformation yielded the lowest interior distance error (0.5+/-0.3mm), while TPS (0.6+/-0.3mm) offered better boundary correction and robustness.

Conclusions:

The interactive method effectively corrects spatial distortion in histology samples, enabling accurate registration with macroscopic and MR images.
Thin Plate Spline (TPS) is a robust transformation for histology image registration, particularly for correcting boundary distortions and damaged samples.
The validated method has practical applications in evaluating thermal ablation and emerging fields like in vivo molecular imaging.