A system for limb-volume measurement using 3D models from an infrared depth sensor

Lu, Guannan; DeSouza, Guilherme N.; Armer, Jane M.; Anderson, Blake; Shyu, Chi‐Ren

doi:10.1109/cicare.2013.6583070

Cited by 12 publications

(22 citation statements)

References 19 publications

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“…Nonetheless, they are expensive devices and are quite difficult to handle by non-professionals. On the other hand, Lu et al [18] explored the use of a low-cost system, the Microsoft Kinect, for arm modeling and volume measurement. However, the proposed method is quite complex, since it depends on gyroscopes and accelerometers attached to the sensor.…”

Section: Traditional Methodsmentioning

confidence: 99%

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A Kinect-Based System for Upper-Body Function Assessment in Breast Cancer Patients

2015

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Common breast cancer treatment techniques, such as radiation therapy or the surgical removal of the axillary lymphatic nodes, result in several impairments in women's upper-body function. These impairments include restricted shoulder mobility and arm swelling. As a consequence, several daily life activities are affected, which contribute to a decreased quality of life (QOL). Therefore, it is of extreme importance to assess the functional restrictions caused by cancer treatment, in order to evaluate the quality of procedures and to avoid further complications. Although the research in this field is still very limited and the methods currently available suffer from a lack of objectivity, this highlights the relevance of the pioneer work presented in this paper, which aims to develop an effective method for the evaluation of the upper-body function, suitable for breast cancer patients. For this purpose, the use of both depth and skeleton data, provided by the Microsoft Kinect, is investigated to extract features of the upper-limbs motion. Supervised classification algorithms are used to construct a predictive model of classification, and very promising results are obtained, with high classification accuracy.

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Section: Traditional Methodsmentioning

confidence: 99%

“…Common methodologies currently used for lymphedema detection include water displacement, circumference measurements, bioelectrical impedance spectroscopy (BIS) or imaging techniques (see Table 1 [18][19][20][21][22]). …”

Section: Traditional Methodsmentioning

confidence: 99%

A Kinect-Based System for Upper-Body Function Assessment in Breast Cancer Patients

2015

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“…In [22], we introduced a method that can be utilized at home or clinic, and it can be easily operated by professionals and non-professionals without any special training. Our method only requires an IR-Depth sensor, such as the Microsoft Kinect, which is used to capture multiple views of the human arm.…”

Section: Introductionmentioning

confidence: 99%

“…In our previous work [22], a method that can be operated by professionals as well as non-professionals in the comfort of their clinics or homes was introduced. An IR sensor was moved around to capture different views of the human subject.…”

Section: Introductionmentioning

confidence: 99%

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Comparing limb-volume measurement techniques: 3D models from an infrared depth sensor versus water displacement

DeSouza

Armer

et al. 2013

2013 IEEE 15th International Conference on E-Health Networking, Applications and Services (Healthcom 2013)

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In our previous work, a new method for measuring limb volume based on infrared depth sensors was presented. The system, which can be operated in the comfort of our homes, allows for the early detection of swelling associated with lymphedemaa chronic disease caused by failure in the lymphatic system. Early detection and management can significantly reduce the potential for symptoms and complications; however, many patients fail to seek medical assistance at the first sign of the disease. So, the proposed system can potentially affect the lives of nearly 500,000 people in the U.S. who suffer from lymphedema with over 2.6 million breast cancer survivors and over 230,000 new cases every year 1 who are at-risk for developing this disease at some point in their life. In this paper, a series of improvements made to the system is presented. The changes led to the complete automation of the process of 3D imaging the arms. The proposed technique for limb-volume measurement was compared with the water displacement and the perometry. Being an ongoing research, the results presented here are limited to 14 arms of healthy volunteers. In the future, test will include a larger number of limbs of healthy as well as cancer patients.

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A Kinect-Based System to Assess Lymphedema Impairments in Breast Cancer Patients

Moreira¹,

Magalhães²,

Oliveira³

2015

Pattern Recognition and Image Analysis

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A system for limb-volume measurement using 3D models from an infrared depth sensor

Cited by 12 publications

References 19 publications

A Kinect-Based System for Upper-Body Function Assessment in Breast Cancer Patients

A Kinect-Based System for Upper-Body Function Assessment in Breast Cancer Patients

Comparing limb-volume measurement techniques: 3D models from an infrared depth sensor versus water displacement

A Kinect-Based System to Assess Lymphedema Impairments in Breast Cancer Patients

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