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"Penelitian ini mengembangkan Computer Aided Diagnosis CAD radiografi paru anak dengan menggunakan metode segmentasi Deformable Models untuk membantu mendeteksi abnormalitas. Metode Deformable Models mencari abnormalitas berdasarkan nilai piksel citra. Metode Deformable Models dikerjakan dengan dua variasi yaitu median filter Deformable Models dan wiener filter Deformable Models. Nilai piksel paru-paru abnormal dengan segmentasi wiener filter Deformable models adalah 186-255 dan median filter Deformable Models adalah 191-255. Metode wiener filter Deformable models menghasilkan nilai ROC lebih tinggi dibandingkan metode median filter dengan nilai akurasi 78,5, sensitivitas 74,5, spesifitas 80, presisi 90,0 dan overall error 21,0.

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This study developed a correlation test Computer Aided Diagnosis CAD radiographic of children pulmonary using segmentation Deformable Models method for detecting Abnormalities. Deformable models method searched abnormalities by value of the image pixel. Deformable models method used two variations, namely median filter Deformable Models and wiener filter Deformable Models. Abnormal result lung pixel values with segmentation Wiener filter Deformable models is 186 255 and median filter Deformable Models is 190 255. Wiener filter Deformable models method have ROC result relatively higher than median filter Deformable models with value of accuracy 78,5, sensitivity 74,5, specificity 80.0, precision 90,0 and overall error of 21,0."

"ABSTRAKPenelitian ini mengembangkan Computer Aided Diagnose (CAD) CT jantung pasiendewasa dengan menggunakan metode segmentasi deformable dan Frangi filter. Metode segmentasi deformable dan Frangi filter untuk mendapatkan posisi kalsifikasi di dalam maupun di luar arteri koroner. Setelah itu, kalsifikasi yang terdapat di dalam arteri koroner dihitung skor kalsium menggunakan metode skor Agatson dan dihitung persentase luasannya terhadap luaspembuluh darah untuk mengetahui korelasi antara skor kalsium, persentase penyempitan pembuluh darah dengan tingkat keparahan risiko penyakit jantung. Metode segmentasi deformable dan Frangi filter dapat menunjukan secara visual posisi kalsifikasi yang terdapat pada pembuluh darah arteri koroner untuk 4 cabang utama, yaitu left main (LM), left circumflex (LCx), left anterior descending (LAD), and right coronary arteries (RCA). Pada pengukuran persentase plak pada pembuluh darah, nilai persentase terendah adalah 20% sedangkan nilai persentase tertinggi adalah 75%. Tingkat risiko penyakit jantung koroner dapat diprediksi sebanding dengan nilai persentase plak pada pembuluh darah. Sementara itu, Perhitungan skor kalsium sesuai dengan hasil evaluasi dokter dalam penentuan stadium risiko penyakit jantung

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ABSTRACTThis research developed Computer Aided Diagnose (CAD) CT heart of adult patients by using deformable segmentation method and Frangi filter. Method of deformable segmentation and Frangi filter to obtain the position of calcification inside and outside the coronary artery. Furthermore, calcification found in the coronary artery was calculated by calcium score using Agatson score method and calculated percentage of extent to blood vessel area to know correlation between calcium score, percentage of narrowing of bloodvessels with the severity of risk of heart disease. The deformable segmentation method and Frangi filter can show visually the position of calcification contained in coronary artery vein for 4 main branches, ie left main (LM), left circumflex (LCx), left anterior descending (LAD), and right coronary arteries (RCA ). In calculating the percentage of plaque on blood vessels, the lowest percentage value is 20% while the highest percentage value is 75%. Therisk of coronary heart disease is proportional to the percentage of plaque in blood vessels. Meanwhile, calcium score calculation is accordance with the results of the evaluation of the doctor in determining the stage of risk of heart disease"