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Four-Dimensional CT Analysis Using Sequential 3D-3D Registration

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Published on: November 23, 2019

Differential reconstruction for planar object in computed tomography.

Tong Liu¹, Jian Xu

¹Singapore Institute of Manufacturing Technology, Singapore. tliu@simtech.a-star.edu.sg

Journal of X-Ray Science and Technology

|August 22, 2009

Summary

This study introduces a new computed tomography (CT) reconstruction method for planar objects. The differential reconstruction algorithm optimizes matrix dimensions for efficiency, reducing computation time and storage needs.

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Area of Science:

Medical Imaging
Materials Science
Computer Vision

Background:

Traditional computed tomography (CT) algorithms use square matrices, inefficient for planar objects like IC chips.
Planar objects, such as integrated circuit (IC) chips, often have a large area-to-thickness ratio, posing computational challenges for standard CT reconstruction.

Purpose of the Study:

To develop an efficient differential reconstruction algorithm for planar object CT scans.
To optimize CT reconstruction for objects with high area-to-thickness ratios, reducing computational load and improving resolution.

Main Methods:

A differential reconstruction algorithm is presented, automatically determining object orientation and tilt angle.
The algorithm employs adaptive reconstruction matrices with varying dimensions and resolutions to focus on the object's area.
Demonstrated using a low-temperature co-fire ceramic (LTCC) component scan.

Main Results:

The new method significantly reduces computation time and storage requirements.
Achieves higher reconstruction resolution in the thickness dimension compared to traditional methods.
Facilitates easier layer separation for multilayered planar objects.

Conclusions:

The differential reconstruction algorithm offers a more efficient and higher-resolution approach for planar object CT.
This method is particularly beneficial for analyzing multilayered components like LTCCs, improving material characterization.