Method and apparatus for predicting pulmonary disease using fractal dimension value

A pulmonary disease prediction apparatus comprising:

• a processor;
• and
• a memory storing at least one instruction executable by the processor,
• wherein the at least one instruction is executed by the processor to:
• acquire, through an image matching processor of the pulmonary disease prediction apparatus, a three-dimensional computed tomography (CT) image from two-dimensional CT images, each of which captures a respective body position of a first patient;
• divide the three-dimensional CT image into a plurality of regions, to generate region-based three-dimensional CT images configured to be used for fractal analysis;
• calculate a region-based fractal dimension value indicating a fractal complexity of a respective region-based three-dimensional CT image among the generated region-based three-dimensional CT images;
• add additional information to the calculated region-based fractal dimension value to generate high-dimensional data;
• and
• generate status information of the first patient based on the complexity of the generated high-dimensional data.

A pulmonary disease prediction system comprising:

• a controller configured to generate prognosis prediction information of a second patient based on a prognosis prediction model,
• wherein the prognosis prediction model is generated by the controller that applies a machine learning algorithm to high-dimensional data of at least one first patient,
• wherein the high-dimensional data is generated by the controller that adds additional information into a region-based fractal dimension value,
• wherein the region-based fractal dimension value indicates a fractal complexity of a region-based three-dimensional computed tomography (CT) image,
• wherein the region-based three-dimensional CT image is generated by the controller that divides a three-dimensional CT image, and
• wherein the three-dimensional CT image is obtained based on two-dimensional CT images, each of which captures a respective body position of each of the first patient.