PROBLEM TO BE SOLVED: To support a smooth image diagnosis by partitioning off osteoporosis progress degrees into a normal range and an abnormal range.SOLUTION: An image diagnosis support device 3 selects a processing object age (S21), decides a value with the highest frequency of progress degree of osteoporosis as a reference value (S22), decides a distribution form showing general frequency dispersion based on data of values lower than the reference value (S23), and reads a parameter to calculate a partition value between a normal range and an abnormal range (S24). Subsequently, a CPU 11 confirms whether or not the processing for the whole ages is ended (S25), and when the processing for the whole ages is ended, displays a scatter diagram taking the age of an examinee on a horizontal axis and the progress degree of osteoporosis on a longitudinal axis on a display device 17 (S26), and displays a curve showing the partition value to be superposed on the scatter diagram (S27).COPYRIGHT: (C)2012,JPO&INPIT【課題】骨粗鬆症進行度の正常範囲と正常でない範囲を区分し、円滑な画像診断を支援する。【解決手段】画像診断支援装置3は、処理対象年齢を選択し(S21)、骨粗鬆症進行度の頻度が最も高い値を基準値として決定し(S22)、基準値以下のデータに基づいて、全体の頻度のばらつきを示す分布形を決定し(S23)、パラメータを読み込んで、正常範囲と正常でない範囲の区分値を算出する(S24)。次に、CPU11は、全年齢の処理が終了したかどうか確認し(S25)、全年齢の処理が終了すると、横軸が受診者の年齢、縦軸が骨粗鬆症進行度の散布図を表示装置17に表示し(S26)、区分値を示す曲線を散布図に重ねて表示する(S27)。【選択図】図2
