For example, limitation of the organism process picture 40 which is recorded after the filling the radioactive tracer, with PET or the SPECT scanner etc, as function of time or the method of presuming imperfect organism process picture sequence 40, the signal processor, the device and the system. Movement parameter 43 of 1 or more first is extracted by applying medicine movement model 42 (compartment model of tracer movement which becomes foundation) to organism process picture sequence 40. At least the specified movement parameter range (from literature and the like) and optionally the addition data 41 which possesses with input function or the clearance function in the blood, is utilized in the particular model. Next, it repeats and algorithm 44, for example, it inserts the picture which is presumed in the imperfect picture sequence, in order to arrive in the picture sequence 45 which, was corrected by utilizing the movement parameter 43 of 1 or more, it is applied. After end standard is sufficed, the picture 47 which can as a result, presumption 46 is finally done from the picture sequence 45 which was corrected. This method is available in order and the like to presume hypoxia parameter k3 picture only the picture which is delayed in the case of the FMISO data set which is not available. This method is actualization possible existing PET, SPECT, CT, as a portion of the MR or ultrasonic scanner software, although only the picture after the filling which the number of limitations delays the secure result is offered because it is not necessary, as for this method the comfort of the patient although with it improves clinical throughput, it is useful.例えば、放射性トレーサーの注入後、PET又はSPECTスキャナなどにより、時間の関数として記録される生体過程画像40の限定的な又は不完全な生体過程画像シーケンス40を推定する方法、信号プロセッサ、装置及びシステム。1以上の動態パラメータ43はまず、薬物動態モデル42(基礎となるトレーサー動態のコンパートメントモデル)を生体過程画像シーケンス40に適用することによって抽出される。少なくとも所定の動態パラメータ範囲(文献などから)と、任意的には入力関数又は血中クリアランス関数とを有する付加データ41が、当該モデルにおいて利用される。次に、繰り返しアルゴリズム44が、例えば、推定された画像を不完全な画像シーケンスに挿入し、1以上の動態パラメー
