Yuka Iijima

Dental plaque assessment lifelogging system using commercial camera for oral healthcare

We present a system for estimating the dental plaque adhesion area using a commercial camera image for oral healthcare via management of the intraoral environment. In recent years, several studies have reported on the relationship between a general disease and a periodontal disease. Such studies mention that normalization of the intraoral environment by tooth brushing is the most important treatment in preventive dentistry. However, evaluation of individual tooth brushing skill is difficult. Some devices for automatically measuring the quantity of dental plaque have already been proposed for the teaching tool of tooth brushing. However, these devices have certain limitations, such as large size, requirement to fix the head position, and limited applicability in daily life. In this study, we propose a method for calculating the dental plaque adhesion area using a commercial camera and an intraoral camera. We also propose an evaluation method for the quantity of adhered dental plaque for replacing the Plaque Control Record (PCR). The relationship between PCR of the front teeth and that of all teeth was investigated by using the proposed method. The experimental results show that the proposed method can estimate the PCR of all teeth from the information of the front tooth. This method is not dependent on a particular camera system, and is applicable with many types of cameras, including smartphones. Therefore, it will be a useful tool in daily use for routine and sustainable management of the intraoral environment.

Support system for pathologists and researchers

Aims: In Japan, cancer is the most prevalent cause of death; the number of patients suffering from cancer is increasing. Hence, there is an increased burden on pathologists to make diagnoses. To reduce pathologists′ burden, researchers have developed methods of auto-pathological diagnosis. However, virtual slides, which are created when glass slides are digitally scanned, saved in a unique format, and it is difficult for researchers to work on the virtual slides for developing their own image processing method. This paper presents the support system for pathologists and researchers who use auto-pathological diagnosis (P-SSD). Main purpose of P-SSD was to support both of pathologists and researchers. P-SSD consists of several sub-functions that make it easy not only for pathologists to screen pathological images, double-check their diagnoses, and reduce unimportant image data but also for researchers to develop and apply their original image-processing techniques to pathological images. Methods: We originally developed P-SSD to support both pathologists and researchers developing auto-pathological diagnoses systems. Current version of P-SSD consists of five main functions as follows: (i) Loading virtual slides, (ii) making a supervised database, (iii) learning image features, (iv) detecting cancerous areas, (v) displaying results of detection. Results: P-SSD reduces computer memory size random access memory utilization and the processing time required to divide the virtual slides into the smaller-size images compared with other similar software. The maximum observed reduction in computer memory size and reduction in processing time is 97% and 99.94%, respectively. Conclusions: Unlike other vendor-developed software, P-SSD has interoperability and is capable of handling virtual slides in several formats. Therefore, P-SSD can support both of pathologists and researchers, and has many potential applications in both pathological diagnosis and research area.