|Budget Amount *help
¥130,000,000 (Direct Cost: ¥100,000,000、Indirect Cost: ¥30,000,000)
Fiscal Year 2013: ¥23,660,000 (Direct Cost: ¥18,200,000、Indirect Cost: ¥5,460,000)
Fiscal Year 2012: ¥23,270,000 (Direct Cost: ¥17,900,000、Indirect Cost: ¥5,370,000)
Fiscal Year 2011: ¥30,550,000 (Direct Cost: ¥23,500,000、Indirect Cost: ¥7,050,000)
Fiscal Year 2010: ¥28,080,000 (Direct Cost: ¥21,600,000、Indirect Cost: ¥6,480,000)
Fiscal Year 2009: ¥24,440,000 (Direct Cost: ¥18,800,000、Indirect Cost: ¥5,640,000)
For the goal of the project; robust computational understanding of clinical images, our researches covered mathematical methods for representation of the "Computational Anatomy Model" which statistically describes individual variations of the organ shapes, and clinical image understanding methods by using the model. The model was constructed as a set of structured points, that is, point distribution model with anatomical features. By using the clinical CT images in our database, various researches from mathematical foundation to clinical application have been performed. The studies covered (1) anatomical landmark detection initiating clinical image understanding, (2) robust image segmentation by a point distribution model with local appearance and with sparse representation, (3) spatio-temporal shape average definition by variational method, and (4) introducing deformed exponential families for treating statistical outliers such as anatomical abnormalities.