Abstract: A method for obtaining a trabecular index using a trabecular pattern displayed on an X-ray image and a method for estimating a bone mineral density using trabecular indices are disclosed. The method for obtaining the trabecular index analyzes trabecular pattern changes, due to decalcifications of trabeculae, displayed on the X-ray picture and quantifies the changes, thereby obtaining the trabecular index. The method for estimating the bone mineral density obtains trabecular indices and then estimates the bone mineral density corresponding to the trabecular index using a functional relation between the trabecular index and actual bone mineral density.

Abstract: Disclosed are a method for evaluating a structural strength of cancellous bone and a computer readable media incorporating a program for implementing the method therein. The method includes the steps of acquiring an x-ray image and defining a region of interest on the acquired x-ray image; extracting a bone trabecular pattern in the defined region of interest; and setting an index of the structural strength of the cancellous bone using an area density of the extracted bone trabecular pattern.

Abstract: A method for calibrating a trabecular index with a sawtooth-shaped rack which corrects an error in the trabecular index due to the characteristics of an image input device or radiographic conditions of an x-ray image when a bone mineral density is measured by setting up the trabecular index with trabecular patterns of a simple x-ray image. The present invention includes a method for calibrating the trabecular index with a sawtooth-shaped rack, wherein bone mineral density is measured with the trabecular index calculated from an x-ray image and an error in the trabecular index is calibrated by a method of calibrating the trabecular index, the method includes the following steps. A first step is preparing an x-ray image by radiographing a bone and a sawtooth-shaped rack together. A second step is attaining trabecular indexes from the x-ray image of the rack and the bone. And, a third step is calibrating the trabecular index of the bone with the trabecular index of the rack.

Abstract: The present invention relates to a method of establishing a range of somatic fat by Gaussian function approximation in a computerized tomography to automatically establish through Gaussian function approximation by using least square method the range of somatic fat which is used at the time of measuring the somatic fat by using the computerized tomography, comprising the steps of separating an intra-abdominal cavity and an extra-abdominal cavity at the time of measuring amounts of subcutaneous fat and intra-abdominal cavity fat by using the computerized tomography, preparing a histogram of Hounsfield values of the separated intra-abdominal cavity and extra-abdominal cavity, approximating the prepared histogram to Gaussian function by using least square method and establishing the range of somatic fat by using a position and width of peak of the obtained Gaussian function.