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Using Synchrotron Radiation Microtomography to Investigate Multi-scale Three-dimensional Microelectronic Packages

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Published on: April 13, 2016

Line-source based x-ray tomography.

Deepak Bharkhada¹, Hengyong Yu, Hong Liu

¹Biomedical Imaging Division, VT-WFU School of Biomedical Engineering & Sciences, Wake Forest University, Winston-Salem, NC 27157, USA.

International Journal of Biomedical Imaging

|May 14, 2009

Summary

This summary is machine-generated.

This study introduces a novel line-shaped X-ray source for computed tomography (CT) to improve spatial resolution. A new generalized simultaneous algebraic reconstruction technique (SART) algorithm was developed for this line-source CT approach.

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Area of Science:

Medical Imaging
Physics
Computer Science

Background:

Current computed tomography (CT) scanners, including micro-CT, use a point X-ray source.
High spatial resolution in CT is limited by the small focal spot size of point X-ray sources, impacting temporal and contrast resolution.

Purpose of the Study:

To overcome the limitations of point X-ray sources in CT by proposing a line-shaped X-ray source.
To develop a generalized simultaneous algebraic reconstruction technique (SART) algorithm for image reconstruction using data from an X-ray line source.

Main Methods:

Development of a novel line-shaped X-ray source for CT.
Adaptation and generalization of the SART algorithm for line-source CT image reconstruction.
Numerical simulations to validate the proposed approach and algorithm.

Main Results:

Demonstrated feasibility of the line-source based X-ray CT approach through numerical simulations.
Successful development of a generalized SART algorithm capable of handling line-source projection data.
Potential for improved photon generation and data acquisition intervals.

Conclusions:

The proposed line-source X-ray CT approach is a feasible alternative to traditional point-source systems.
The generalized SART algorithm effectively reconstructs images from line-source CT data.
This novel method offers a pathway to enhanced resolution in CT imaging.