<title>Dynamic chest image analysis: model-based ventilation study with pyramid images</title>

Abstract

The aim of the study "Dynamic Chest Image Analysis" is to develop computing analysis and visualization methods for showing focal and general abnormalities of lung ventilation and perfusion based on a sequence of digital chest fluoroscopy frames collected at different phases of the respiratory/cardiac cycles. A multiresolutional method for ventilation study with an explicit ventilation model based on pyramid images is proposed in this paper. The ventilation model is sophisticated enough in coverage of both inhalation and exhalation phases, but also remains simple enough in model realization. This model plays a critical role in extracting accurate, geographic ventilation parameters; while the pyramid helps in understanding ventilation at multiple resolutions and speeding up the convergence process in optimization. A number of patients have been studied with a research prototype produced in MATLAB. The prototype has proven to be a useful aid in dynamic pulmonary ventilation study. However, for clinical use, further work must be done in the future.

Interactive Medical Image Segmentation with United Snakes

“…The aim of the dynamic chest image analysis project is to show focal and general abnormalities of lung ventilation and perfusion based on a sequence of digital chest fluoroscopy frames collected over a short time period (typically about 4 seconds) [10,12,9]. The project uses only plain X-ray fluoroscopy (with and without breathing) for the ventilation and perfusion studies.…”

Dynamic chest image analysis: evaluation of model-based pulmonary perfusion analysis with pyramid images

“…Due to historical reasons, , where a pixel corresponds to an area of roughly 3 mm £ 3 mm of the lung. It is the same spatial resolution as we have used in ventilation analysis [10,13], but the temporal sampling frequency has been doubled (i.e., 25 Hz).…”

“…Just like ventilation analysis [10,13], we are interested in not only the overall perfusion function of a lung segment but also its subsegments. This naturally leads to multiresolutional analysis based upon pyramids.…”

“…as the ventilation model given in [10,13] for ventilation analysis. However, the five characteristic parameters have different medical meanings: Level L: Intensity mean -a mathematically necessary parameter without well-defined medical meaning (i.e., its value depending on many factors).…”

“…We have proposed and evaluated a multiresolutional method with an explicit ventilation model based on pyramid images for ventilation analysis [10,13]. We have further extended the method for ventilation analysis to pulmonary perfusion [9], where the model parameters are assigned with new medical meanings to form a perfusion model and the pyramid structure is truncated to avoid perfusion artifacts.…”