Anterior chamber volume (ACV) is very important for an oculist to make rational pathological diagnosis as to patients
who have some optic diseases such as glaucoma and etc., yet it is always difficult to be measured accurately. In this
paper, a method is devised to measure anterior chamber volumes based on JPEG-formatted image files that have been
transformed from medical images using the anterior-chamber optical coherence tomographer (AC-OCT) and
corresponding image-processing software. The corresponding algorithms for image analysis and ACV calculation are
implemented in VC++ and a series of anterior chamber images of typical patients are analyzed, while anterior chamber
volumes are calculated and are verified that they are in accord with clinical observation. It shows that the measurement
method is effective and feasible and it has potential to improve accuracy of ACV calculation. Meanwhile, some
measures should be taken to simplify the handcraft preprocess working as to images.
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