Mikko Finnilä

This study compares two iodine-based contrast agents for micro-CT imaging of porcine hearts, finding that I2E provides better contrast and preservation while I2KI offers faster staining but more artifacts.

This study uses micro-CT to identify and quantify differences in calcification patterns between basic calcium phosphate and calcium pyrophosphate in human meniscus, providing insights into their roles in osteoarthritis.

This study shows that proteoglycan loss is less severe in the pericellular matrix than in the extracellular matrix in the middle zone of cartilage early after ACLT in rabbits.

This study uses PCD-DECT to differentiate between BCP and CPP calcifications in menisci ex vivo, showing potential for future in vivo applications.

This paper develops a deep learning-based super-resolution method to enhance clinical CT image resolution for musculoskeletal and dental imaging, showing improved microstructural detail but with some artifacts and grayscale distribution changes.

The paper develops a deep learning segmentation method for analyzing calcified cartilage thickness using micro-CT and compares it to histology across rabbit knee regions.