Dynamic Tomosynthesis Lung Imaging Bedside Contradiction
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Solution Overview
Problem
Current medical imaging techniques for assessing lung ventilation and perfusion in mechanically ventilated patients are inadequate for bedside use in intensive care units due to limitations in resolution, mobility, and complexity, particularly with stationary CT scanners and the need for radioactive contrast agents.
Innovation Solution
A medical imaging system utilizing X-ray sources arranged to emit X-rays along less than 180 degrees, with a detector array and electronic controller for cycling through X-ray sources to perform tomosynthesis image reconstruction, providing high temporal resolution and spatially resolved ventilation and perfusion imaging without the need for a CT scanner.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If stationary CT scanners are used for ventilation and perfusion imaging, then imaging quality is improved, but patient mobility and bedside availability deteriorate
Solution Approach 1:
The imaging system is divided into multiple portable X-ray sources positioned at different angles around the patient, allowing the imaging function to be distributed and moved to the bedside while maintaining quality through multi-angle data acquisition
Solution Approach 2:
Tomosynthesis reconstruction algorithms serve as an intermediary process that combines limited-angle X-ray projections to generate high-quality cross-sectional images, enabling bedside imaging without requiring a full CT scanner
2Speed
If dynamic X-ray imaging is performed with multiple sources, then temporal resolution is improved, but system complexity increases
Solution Approach 1:
Multiple X-ray sources are activated in a periodic cycling sequence, with each source emitting X-rays at specific time intervals. This periodic activation pattern enables temporal resolution sufficient for capturing dynamic physiological processes while keeping the system manageable through systematic source switching
Solution Approach 2:
The system transitions from static to dynamic imaging by implementing time-varying source activation and cyclic operation modes, allowing the imaging system to adapt to different temporal requirements while maintaining controlled complexity through standardized cycling protocols
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables improved dynamic X-ray imaging with high temporal resolution for bedside use, allowing for effective visualization of lung ventilation and perfusion, overcoming the limitations of existing techniques by providing 4D imaging with sufficient temporal resolution for clinical assessment.
Implementation Method 1
X-ray sources arranged to emit X-rays into an examination region along different respective projection views spanning less than 180 degrees; an X-ray detector array arranged to detect the X-rays emitted by the X-ray sources after passing through the examination region
Data Source
AI summary
X-ray sources emit X-rays into an examination region along different projection views. An X-ray detector array detects the X-rays emitted by the X-ray sources after passing through the examination region. X-ray imaging data are acquired by cycling through the X-ray sources with each step of the cycle including: switching an active X ray source on to emit X-rays and the other X ray sources off to not emit X rays, and acquiring X ray imaging data along the projection view corresponding to the active X-ray source that is switched on. Tomosynthesis image reconstruction is performed on the X ray imaging data to generate at least one volumetric image. A time sequence of spatially aligned images is produced from the time sequence of volumetric images. A perfusion image and/or a ventilation image is generated based on voxel intensity variation over time of the time sequence of spatially aligned images.