[Date Prev][Date Next][Thread Prev][Thread Next][Date Index][Thread Index]

Eur. Patent auf medizinische Diagnose



EP0487110
Computer-aided diagnosis system for medical use. 
TOKYO SHIBAURA ELECTRIC CO (JP)

Das Patent deckt alle notwendigen Merkmale einer beliebigen
automatisierbaren medizinischen Analyse ab.  Zu diesen notwendigen
Merkmalen gehoert, dass ein Bild erstellt wird und zugehoerige Angaben
bekannt sind oder aus dem Bild heraus automatisch gewonnen werden
koennen.  Wenn dies gegeben ist und die Angaben ausreichen, um mit einem
beliebigen Algorithmus eine Analyseberechnung durchzufuehren, unterliegt
das Verfahren diesem Patent, egal wie der Algorithmus beschaffen ist.  

   Claims
   
   1. A system for automatically analyzing a medical image using a
   predetermined computer-aided diagnosis algorithm, characterized by
   comprising:
   means for inputting a medical image and attribute data of the medical
   image;
   means for determining, based on the attribute data, whether or not the
   medical image is adapted to the predetermined computer-aided diagnosis
   algorithm;
   means for analyzing the medical image using the predetermined
   computer-aided diagnosis algorithm in accordance with a result of a
   determination of said determining means; and
   means for displaying an analysis result of said analyzing means.
   2. A system according to claim 1, characterized by further comprising:
   a plurality of modalities including said input means; and
   a network for connecting said modalities and said analyzing means.
   3. A system for automatically analyzing a medical image using a
   computer-aided diagnosis algorithm, characterized by comprising:
   means for inputting a medical image and attribute data of the medical
   image;
   means for storing a plurality of computer-aided diagnosis algorithms;
   means for selecting, based on the attribute data, an optimum
   computer-aided diagnosis algorithm suitable for the medical image;
   means for analyzing the medical image using the optimum computer-aided
   diagnosis algorithm selected by said selecting means; and
   means for displaying an analysis result of said analyzing means.
   4. A system according to claim 3, characterized by further comprising:
   a plurality of modalities including said input means; and
   a network for connecting said modalities and said analyzing means.
   5. A system for automatically analyzing a medical image using a
   predetermined computer-aided diagnosis algorithm, characterized by
   comprising:
   means for inputting a plurality of medical images and attribute data
   of the medical images;
   means for analyzing the medical images using the predetermined
   computer-aided diagnosis algorithm;
   means for storing an analysis result of said analyzing means in
   association with the medical images; and
   means for selectively reading out a desired medical image and a
   corresponding analysis result and displaying the desired medical image
   and the corresponding analysis result.
   6. A system according to claim 5, characterized by further comprising:
   a plurality of modalities including said input means; and
   a network for connecting said modalities and said analyzing means.
   7. A system according to claim 5, characterized by further comprising:
   means for storing a plurality of computer-aided diagnosis algorithms;
   and
   means for selecting, based on the attribute data, an optimum
   computer-aided diagnosis algorithm suitable for each of the medical
   images.
   8. A system according to claim 5, characterized in that said reading
   and displaying means comprises:
   means for inputting retrieval data; and
   means for reading out an analysis result which is in accordance with
   the retrieval data.
   9. A system for automatically analyzing a medical image using a
   predetermined computer-aided diagnosis algorithm, characterized by
   comprising:
   means for storing a plurality of medical images and attribute data of
   the medical images;
   means for selectively extracting one of first medical images which
   have been viewed and second medical images which have not been viewed
   based on the attribute data;
   means for analyzing the medical images extracted by said extracting
   means using the predetermined computer-aided diagnosis algorithm; and
   means for displaying an analysis result of said analyzing means.
   10. A system according to claim 9, characterized in that said storing
   means stores the medical images in association with the analysis
   result.
   11. A system according to claim 9, characterized in that said storing
   means stores an item of the attribute data denoting whether or not the
   medical image has been analyzed by said analyzing means.
   12. A system according to claim 11, characterized in that said
   extracting means extracts medical images which have been viewed but
   have not been analyzed by said analyzing means.
   13. A system for automatically analyzing a medial image using a
   predetermined computer-aided diagnosis algorithm, characterized by
   comprising:
   means for inputting a plurality of medial images and attribute data of
   the medical images, the attribute data including an item of data
   denoting whether or not the medical image has been analyzed by said
   analyzing means and an item of data denoting whether or not the
   medical image has been viewed by a doctor;
   means for storing a plurality of computer-aided diagnosis algorithms;
   means for analyzing medical images which are stored in said storing
   means, have not been examined by said analyzing means, and have been
   viewed by a doctor using an optimum computer-aided diagnosis algorithm
   selected based on the attribute data;
   means for storing an analysis result of said analyzing means in
   association with the medical images; and
   means for selectively reading out a desired medical image and a
   corresponding analysis result and displaying the desired medical image
   and the corresponding analysis result.
     _________________________________________________________________
   
   Data supplied from the esp@cenet database - l2