Cancerous Lesion Detection from Nevoscope Skin Surface Images via Parametric Color Clustering

2012 ◽  
pp. 367-375 ◽  
Author(s):  
Nikhil J. Dhinagar ◽  
Ivan Glasgo ◽  
Mehmet Celenk ◽  
Mehmet A. Akinlar
Keyword(s):  
Skin Surface ◽  
Lesion Detection ◽  
Cancerous Lesion ◽  
Color Clustering ◽  
Surface Images

Thickness Characterization of 3D Skin Surface Images Using Reference Line Construction Approach

2009 ◽  
pp. 448-454 ◽  
Author(s):  
M. H. Ahmad Fadzil ◽  
Hurriyatul Fitriyah ◽  
Esa Prakasa ◽  
Hermawan Nugroho ◽  
S. H. Hussein ◽  
...  
Keyword(s):  
Skin Surface ◽  
Reference Line ◽  
Line Construction ◽  
3D Skin ◽  
Surface Images

Quantitative Radiomics Approach to Assess Acute Radiation Dermatitis in Breast Cancer Patients

2021 ◽  
Author(s):  
So-Yeon Park ◽  
Jong Min Park ◽  
Jung-in Kim ◽  
Chang Heon Choi ◽  
Minsoo Chun ◽  
...  
Keyword(s):  
Breast Cancer ◽  
Normal Mode ◽  
Statistical Significance ◽  
Skin Surface ◽  
Acute Radiation ◽  
Radiation Dermatitis ◽  
Strong Correlations ◽  
Breast Cancer Patients ◽  
Skin Doses ◽  
Surface Images

Abstract We applied a radiomics approach to skin surface images to objectively assess radiodermatitis in patients undergoing radiotherapy for breast cancer. A prospective cohort study of 20 patients was conducted. Skin surface images in normal, polarised, and UV modes were acquired using a skin analysis device before starting radiotherapy (‘before RT’), 7 days after the first treatment ('RT_D7'), on ‘RT_D14’, and 10 days after radiotherapy ended (‘after RT_D10’). Eighteen types of radiomic feature ratios were calculated. We measured skin doses in ipsilateral breasts using OSLDs on the first day of radiotherapy. Clinical evaluation of acute radiodermatitis was performed using the RTOG scoring criteria on ‘RT_D14’ and ‘after RT_D10’. Several statistical analysis methods were used to test the performance of radiomic features as indicators of radiodermatitis evaluation. As the skin was damaged by radiation, the energy for normal mode and sum variance for polarised and UV modes decreased significantly for ipsilateral breasts. The radiomic feature ratios at ‘RT_D7’ had strong correlations to skin doses and those at ‘RT_D14’ and ‘after RT_D10’ with statistical significance. The energy for normal mode and sum variance for polarised and UV modes demonstrated the potential to evaluate and predict acute radiation, which assists in its appropriate management.

Processed skin surface images acquired by acoustic impedance difference imaging using the ultrasonic interference method: a pilot study

2011 ◽  
Vol 39 (1) ◽  
pp. 37-42
Author(s):  
Yasutomo Fujii ◽  
Masasumi Yoshizawa ◽  
Ryuji Emoto ◽  
Naoto Haruyama ◽  
Takasuke Irie ◽  
...  
Keyword(s):  
Pilot Study ◽  
Acoustic Impedance ◽  
Skin Surface ◽  
Interference Method ◽  
Difference Imaging ◽  
Surface Images

scholarly journals Design and Development of an Efficient Mining Framework for Pre-Cancerous Lesion Detection in Lung using Non-Invasive CT Imaging

2019 ◽  
Vol 9 (1) ◽  
pp. 4790-4794
Keyword(s):  
Medical Information ◽  
Automatic Segmentation ◽  
Precancerous Lesion ◽  
Region Of Interest ◽  
Research Problem ◽  
Disease Diagnosis ◽  
Lesion Detection ◽  
Irregular Shapes ◽  
Cancerous Lesion ◽  
Cancerous Lesions

The ability to analyze and identify meaningful patterns in clinical data must be addressed to provide a better understanding of disease. Currently existing solutions for disease diagnosis systems are costly, time consuming and prone to errors, due to the diversity of medical information sources. Lung Disease Diagnosis individual is based on medical images (Lung CTs) includes Lung segmentation, and the detection of cancerous lesions in the Lung. Segmenting the region of interest from medical imaging is a challenge, since the images are varied, complex and can contain irregular shapes with noisy values.In this context, the segmentation of the Region of Interest from Lung CT and detecting the pre-cancerous lesions is an important research problem that is receiving growing attention. Hence an efficient methodology on ACM based automatic segmentation and precancerous lesion detection is proposed.

scholarly journals Computer Based Melanocytic and Nevus Image Enhancement and Segmentation

2016 ◽  
Vol 2016 ◽  
pp. 1-13 ◽  
Author(s):  
Uzma Jamil ◽  
M. Usman Akram ◽  
Shehzad Khalid ◽  
Sarmad Abbas ◽  
Kashif Saleem
Keyword(s):  
Early Stage ◽  
Specular Reflection ◽  
Normal Skin ◽  
Skin Lesions ◽  
Lesion Detection ◽  
Suggested Approach ◽  
Novel Approach ◽  
European Database ◽  
Cancerous Lesion ◽  
Segmentation Approach

Digital dermoscopy aids dermatologists in monitoring potentially cancerous skin lesions. Melanoma is the 5th common form of skin cancer that is rare but the most dangerous. Melanoma is curable if it is detected at an early stage. Automated segmentation of cancerous lesion from normal skin is the most critical yet tricky part in computerized lesion detection and classification. The effectiveness and accuracy of lesion classification are critically dependent on the quality of lesion segmentation. In this paper, we have proposed a novel approach that can automatically preprocess the image and then segment the lesion. The system filters unwanted artifacts including hairs, gel, bubbles, and specular reflection. A novel approach is presented using the concept of wavelets for detection and inpainting the hairs present in the cancer images. The contrast of lesion with the skin is enhanced using adaptive sigmoidal function that takes care of the localized intensity distribution within a given lesion’s images. We then present a segmentation approach to precisely segment the lesion from the background. The proposed approach is tested on the European database of dermoscopic images. Results are compared with the competitors to demonstrate the superiority of the suggested approach.

scholarly journals Simulation of Discrete Blood Vessel Effects on the Thermal Signature of a Melanoma Lesion

2013 ◽  
Author(s):  
Sri Kamal Kandala ◽  
Daxiang Deng ◽  
Cila Herman
Keyword(s):  
Heat Transfer ◽  
Blood Vessel ◽  
Evaluation Criteria ◽  
Thermal Response ◽  
Skin Surface ◽  
Cancerous Lesion ◽  
Surrounding Healthy Tissue ◽  
Thermal Signature ◽  
Transient Thermal ◽  
Transient Thermal Response

The effect of the underlying blood vessel on the transient thermal response of the skin surface with and without a melanoma lesion is studied. A 3D computational model of the layers of the skin tissue with cancerous lesion was developed in COMSOL software package. Heat transfer in the skin layers and the lesion is governed by the Pennes bio-heat equation, while the blood vessel is modeled as fully developed pipe flow with constant heat transfer coefficient. The effect of various pertinent parameters, such as diameter of the blood vessel, lateral location of the blood vessel relative to the lesion, flow velocity of the blood, on the skin surface temperature distribution, have been studied in the paper. The results show significant influence of the underlying blood vessel on the temperature of the skin surface and lesion as well as on the surrounding healthy tissue. Thus, a need for development of evaluation criteria for detection of malignant lesions in the presence of blood vessels is is discussed.

Enzymatic Determination of Hydroxysteroids in Human Skin Surface Lipids1

1963 ◽  
Vol 41 (5) ◽  
pp. 265-268 ◽  
Author(s):  
Thomas J Cook ◽  
Allan L Lorincz ◽  
Alan R Spector
Keyword(s):  
Human Skin ◽  
Skin Surface ◽  
Enzymatic Determination

F-18-FDG Positron Imaging in Oncological Patients: Gamma Camera Coincidence Detection versus Dedicated PET

1999 ◽  
Vol 38 (04) ◽  
pp. 108-114 ◽  
Author(s):  
H.-J. Kaiser ◽  
U. Cremerius ◽  
O. Sabri ◽  
M. Schreckenberger ◽  
P. Reinartz ◽  
...  
Keyword(s):  
Attenuation Correction ◽  
Spatial Resolution ◽  
Gamma Camera ◽  
Lesion Detection ◽  
Coincidence Detection ◽  
System Sensitivity ◽  
Oncological Patients ◽  
Phantom Studies ◽  
Pet System ◽  
Dedicated Pet

Summary Aim of the present study was to investigate the feasibility of 2-[fluorine-18]-fluoro-2-deoxy-D-glucose (FDG) imaging in oncological patients with a dual head gamma camera modified for coincidence detection (MCD). Methods: Phantom studies were done to determine lesion detection at various lesion-to-background ratios, system sensitivity and spatial resolution. Thirty-two patients with suspected or known malignant disease were first studied with a dedicated full-ring PET system (DPET) applying measured attenuation correction and subsequently with an MCD system without attenuation correction. MCD images were first interpreted without knowledge of the DPET findings. In a second reading, MCD and DPET were evaluated simultaneously. Results: The phantom studies revealed a comparable spatial resolution for DPET and MCD (5.9 × 6.3 × 4.2 mm vs. 5.9 × 6.5 × 6.0 mm). System sensitivity of MCD was less compared to DPET (91 cps/Bq/ml/cmF0V vs. 231 cps/ Bq/ml/cmFOv). At a lesion-to-background ratio of 4:1, DPET depicted a minimal phantom lesion of 1.0 cm in diameter, MCD a minimal lesion of 1.6 cm. With DPET, a total of 91 lesions in 27 patients were classified as malignant. MCD without knowledge of DPET results revealed increased FDG uptake in all patients with positive DPET findings. MCD detected 72 out of 91 DPET lesions (79.1 %). With knowledge of the DPET findings, 11 additional lesions were detected (+12%). MCD missed lesions in six patients with relevance for staging in two patients. All lesions with a diameter above 18 mm were detected. Conclusion: MCD FDG imaging yielded results comparable to dedicated PET in most patients. However, a considerable number of small lesions clearly detectable with DPET were not detected by MCD alone. Therefore, MCD cannot yet replace dedicated PET in all oncological FDG studies. Further technical refinement of this new method is needed to improve image quality (e.g. attenuation correction).

Top-Ten Tips for Dual-Energy CT in MSK Radiology

2019 ◽  
Vol 23 (04) ◽  
pp. 392-404 ◽  
Author(s):  
Frances E. Walstra ◽  
Jonathan Hickle ◽  
Peter Duggan ◽  
Rashid Alsharhan ◽  
Nicolas Murray ◽  
...  
Keyword(s):  
Bone Marrow ◽  
Dual Energy ◽  
Lesion Detection ◽  
Future Application ◽  
Dual Energy Ct ◽  
Ct Arthrography ◽  
Musculoskeletal Pathology ◽  
Conventional Ct ◽  
Clinical Potential ◽  
Collagen Analysis

Dual-energy computed tomography (DECT) has the potential to detect musculoskeletal pathology with greater sensitivity than conventional CT alone at no additional radiation dose to the patient. It therefore has the potential to reduce the need for further diagnostic imaging or procedures (e.g., joint aspirations in the case of gout or magnetic resonance imaging to confirm undisplaced fractures).DECT is a well-established technique for the detection of gout arthropathy. Multiple newer applications have shown clinical potential including bone marrow edema detection and metal artifact reduction. Collagen analysis, bone marrow lesion detection, and iodine mapping in CT arthrography are areas of possible future application and development.This article outlines 10 tips on the use of DECT imaging of the musculoskeletal system, explaining the technique and indications with practical suggestions to help guide the radiologist.

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