Cancer detection using infrared hyperspectral imaging

Abstract

During the last few decades, many studies have been performed on the early detection of cancer using noninvasive or minimally invasive techniques in lieu of traditional excisional biopsy. Early detection can make an immense difference because cancer treatment is often simpler and more effective when diagnosed at an early stage. Cancer detecting methods may help physicians to diagnose cancer, to dissect the malignant region with a safe margin, and to evaluate the tumor bed after resection. In this paper, the advanced hyperspectral imaging system has been assessed using infrared wavelengths region for tumor detection. We were able to identify an appropriate wavelength region for cancer detection, spatially resolved images, and highlight the differences in reflectance properties of cancerous versus non‐cancerous tissues. The capability of this instrument was demonstrated by observing gastric tumors in 10 human subjects. The spectral signatures were extracted and evaluated in cancerous and non‐cancerous tissues. Processing means with the standard deviation of the spectral diagram, support vector machine, and first derivatives and integral of in spectral diagram were proposed to enhance and detect the cancerous regions. The first derivatives in spectral region between 1226–1251 nm and 1288–1370 nm were proposed as criteria that successfully distinguish between non‐cancerous and cancerous tissue. The results of this study will lead to advances in the optical diagnosis of cancer. (Cancer Sci 2011; 102: 852–857)

Review of short-wave infrared spectroscopy and imaging methods for biological tissue characterization

“…Using the SWIR images, the regions of ischemia were classified with a false positive rate of 8% and a false negative rate of 7%. Akbari et al 40 also performed a similar study on freshly excised human gastric tumors, using the same technology as in Ref. 39.…”

“…This information can potentially assist in the detection, characterization, and classification of conditions such as cancer and atherosclerosis. In fact, it has already been shown that water and lipid absorptions provide useful diagnostic "fingerprints" for detection of both cancer 8,40 and atherosclerosis. 9,14,22,23,[47][48][49] On the path toward a more widespread implementation of SWIR tissue optics measurements, one important factor to consider is the temperature dependence of tissue absorption features in the SWIR regime.…”

Development of a Novel Embedded Relay Lens Microscopic Hyperspectral Imaging System for Cancer Diagnosis: Use of the Mice with Oral Cancer to Be the Example

“…Finally, they find that the optimized excitation wavelength of fluorescence was 420 nm. The Hamed's team used ten resected stomach to be the sample and got 101 infrared hyperspectral images [18]. They showed 90% specification.…”

“…The previous researches [1,[8][9][10][11][12][16][17][18][19] used the pushbroom structure to be the scanning mechanism of MHSI system. Figure 1(a) shows the structure of traditional pushbroom MHSI system.…”

Hyperspectral imaging and spectral-spatial classification for cancer detection

“…Hyperspectral imaging has also been evaluated for use in the cytologic diagnosis of cancer cells [8]. It has been reported that hyperspectral imaging is also used to detect gastric tumors in human subjects [9]. The spectral signatures of the gastric cancer and non-cancerous stomach tissue were created in infrared wavelengths.…”