Automated Liver Detection in Ultrasound Images

2005 ◽  
pp. 619-628 ◽  
Author(s):  
Nualsawat Hiransakolwong
Keyword(s):  
Ultrasound Images

Automated Characterization of Atheromatous Plaque in Intravascular Ultrasound Images Using Neuro Fuzzy Classifier

2012 ◽  
Vol 58 (4) ◽  
pp. 425-431 ◽  
Author(s):  
D. Selvathi ◽  
N. Emimal ◽  
Henry Selvaraj
Keyword(s):  
Intravascular Ultrasound ◽  
Human Error ◽  
Human Life ◽  
Classification Performance ◽  
Atheromatous Plaque ◽  
Ultrasound Images ◽  
Fuzzy Classifier ◽  
Neuro Fuzzy ◽  
Calcified Tissues

Abstract The medical imaging field has grown significantly in recent years and demands high accuracy since it deals with human life. The idea is to reduce human error as much as possible by assisting physicians and radiologists with some automatic techniques. The use of artificial intelligent techniques has shown great potential in this field. Hence, in this paper the neuro fuzzy classifier is applied for the automated characterization of atheromatous plaque to identify the fibrotic, lipidic and calcified tissues in Intravascular Ultrasound images (IVUS) which is designed using sixteen inputs, corresponds to sixteen pixels of instantaneous scanning matrix, one output that tells whether the pixel under consideration is Fibrotic, Lipidic, Calcified or Normal pixel. The classification performance was evaluated in terms of sensitivity, specificity and accuracy and the results confirmed that the proposed system has potential in detecting the respective plaque with the average accuracy of 98.9%.

Temporal changes of ultrasound images in acute cholecystitis

Choonpa Igaku ◽  
2016 ◽  
Vol 43 (1) ◽  
pp. 103-113
Author(s):  
Satoshi KAWABATA ◽  
Nobuko TAGAMI ◽  
Norikazu OBANE ◽  
Kyoko TSUMURA ◽  
Nanae SENZAKI ◽  
...  
Keyword(s):  
Acute Cholecystitis ◽  
Temporal Changes ◽  
Ultrasound Images

AN ULTRASOUND SURVEY ON THE PLACENTA AND AMNIOTIC CHARACTERISTICS IN THE SINGLE POSTTERM PREGNANCY

2011 ◽  
pp. 20-24
Author(s):  
Thi My Dung Ha ◽  
Ngoc Thanh Cao ◽  
Thi Song Huong Tran
Keyword(s):  
Amniotic Fluid ◽  
Ultrasound Images ◽  
Ultrasound Scanning ◽  
Amniotic Fluid Index ◽  
Postterm Pregnancy ◽  
Fluid Properties ◽  
Labor Transfer ◽  
The Relationship ◽  
Obstetric Department ◽  
Singleton Pregnancies

Objective: To characterize ultrasound images of placenta and amniotic fluid in cases of singleton pregnancies beyond term predictions, and also explore the relationship between placenta, amniotic fluid and labor transfer status, postpartum child status. Image properties of prenatal placenta and amniotic fluid are immediately examined with ultrasound in 267 cases of postterm pregnancy beyond prediction at Obstetric Department, Hue Central Hospital. Results: In postterm pregnancy, placenta thickness decreases gradually according to gestational age. Oligohydramnios is 30.3%. There is a correlation between amniotic fluid index and birth method with r = 0.41. Sensitivity is 89.15%. Specificity is 48.55%. There is also a correlation between amniotic fluid echogenicity and method of birth: r = 0.478. Sensitivity is 97.67%. Specificity is 42.75%. Amniotic fluid index and baby Clifford's syndrome are also relevant, with r=0.466. Sensitivity is 83.78%. Specificity is 78.26%. Conclusions: Ultrasound scanning of amniotic fluid properties should be noted in the case of postterm pregnancy.

CLINICAL SYMPTOMS, ULTRASOUND AND HISTOPATHOLOGY OF TUMORLIKE LESIONS OF THE BLADDER.

2017 ◽  
pp. 41-46
Author(s):  
Van Mao Nguyen ◽  
Thi Bich Chi Nguyen
Keyword(s):  
Bladder Cancer ◽  
Bladder Tumor ◽  
Clinical Symptoms ◽  
Bladder Wall ◽  
Lower Abdominal Pain ◽  
University Hospital ◽  
Wall Thickening ◽  
Health Examination ◽  
Ultrasound Images ◽  
Key Words Bladder Cancer

Background: Bladder cancer is one of the most frequent type of urinary cancer which has been ever increasing. For the better treatment, the early discovery and definite diagnosis of this disease played an important role. Objective: To describe some clinical symptoms and ultrasound features of tumorlike lesions of the bladder. To diagnose and classify the histopathology of tumorlike lesions of the bladder. Materials, method: cross - sectional study on 64 cases in Hue University Hospital and Hue central hospital from April, 2016 to February, 2017. Results: Hematuria was the most common reason that patients went to hospital (79.7%). Lower abdominal pain and irritation during urination accounting for 9.4% and 6.2% respectively. Only 3 patients with bladder cancer were accidentally discovered through periodic health examination (4.7%). The characteristics of hematuria in bladder tumor was flesh red urine (62.5%) and total hematuria (60.7%). With ultrasonography, the results of 64 patients were divided in 3 groups as follow: bladder tumor, which was the highest rate 87.5%, bladder polyp was 3.1% and focal bladder wall thickening was 9.4%. Of which, the vast majority of these ultrasound images was tumor - like lesions protruding in the lumen of the bladder (75%), the rest was wall thickening lesions (25%). Tumors were different in size, the biggest tumor was 7cm in diameter and the smallest was 0.6cm. Those with the diameter 3cm or bigger accounting for 42.2%, the smaller was 57.8%. Most cases have only one lesion (62.5%) and at lateral wall (46.6%). Histopathologically, cancer was 59/64 case (92.2%): urothelial carcinoma was 98.3 %, squamous cell carcinomawas 1.7% and 5 cases (7.8%) were benign. Most cancerous cases were poorly differentiated, grade II (50.9%) and grade III (32.2%). The stage T1NxMx was 20.3% and worse than T2MxNx was 79.7%. Conclusion: hematuria was the most popular symptom, suggesting bladder cancer. Clinical diagnosing bladder cancer was not high sensitive (61.01%). Ultrasound could detect bladder tumor with high sensitive (89.8%). These patients also needed histopathology classification to diagnose and finally choose the best method for the appropriate treatment. Key words: bladder cancer, histopathology, ultrasound, uroepithelial carcinoma, hematuria

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