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Feature detection in biological tissues using multi-band and narrow-band imaging

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International Journal of Computer Assisted Radiology and Surgery Aims and scope Submit manuscript

Abstract

Purpose

In the past decade, augmented reality systems have been expected to support surgical operations by making it possible to view invisible objects that are inside or occluded by the skull, hands, or organs. However, the properties of biological tissues that are non-rigid and featureless require a large number of distributed features to track the movement of tissues in detail.

Methods

With the goal of increasing the number of feature points in organ tracking, we propose a feature detection using multi-band and narrow-band imaging and a new band selection method. The depth of light penetration into an object depends on the wavelength of light based on optical characteristics. We applied typical feature detectors to detect feature points using three selected bands in a human hand. To consider surgical situations, we applied our method to a chicken liver with a variety of light conditions.

Results

Our experimental results revealed that the image of each band exhibited a different distribution of feature points. In addition, the total number of feature points determined by the proposed method exceeded that of the R, G, and B images obtained using a normal camera. The results using a chicken liver with various light sources and intensities also show different distributions with each selected band.

Conclusions

We have proposed a feature detection method using multi-band and narrow-band imaging and a band selection method. The results of our experiments confirmed that the proposed method increased the number of distributed feature points. The proposed method was also effective for different light conditions.

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Authors and Affiliations

  1. Graduate School of Information Science and Technology, Osaka University, 1-5 Yamadaoka, Suita City, Osaka, 565-0871, Japan

    Yuki Tamura, Tomohiro Mashita, Kiyoshi Kiyokawa & Haruo Takemura

  2. Cybermedia Center, Osaka University, 1-32 Machikaneyamacho, Toyonaka City, Osaka, 560-0043, Japan

    Tomohiro Mashita, Kiyoshi Kiyokawa & Haruo Takemura

  3. Graduate School of Engineering Science, Osaka University, 1-3 Machikaneyama-cho, Toyonaka City, Osaka, 560-8531, Japan

    Yoshihiro Kuroda

Authors
  1. Yuki Tamura
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  2. Tomohiro Mashita
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  3. Yoshihiro Kuroda
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  4. Kiyoshi Kiyokawa
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  5. Haruo Takemura
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Corresponding author

Correspondence to Yuki Tamura.

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Conflicts of interest

We have no conflicts of interest relationship with any companies or commercial organizations based on the definition of the Japanese Society of Medical and Biological Engineering.

Additional information

This work was partly supported by JSPS KAKENHI Grant Number 26282147. The study was approved by the Ethical Review of the Faculty Meeting of Cybermedia Center, Osaka University, Japan.

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Tamura, Y., Mashita, T., Kuroda, Y. et al. Feature detection in biological tissues using multi-band and narrow-band imaging. Int J CARS 11, 2173–2183 (2016). https://doi.org/10.1007/s11548-016-1458-4

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  • DOI: https://doi.org/10.1007/s11548-016-1458-4

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