New perspectives of hyperspectral imaging for clinical research

Abstract

New developments in instrumentation and data analysis have further improved the perspectives of hyperspectral imaging in clinical use. Thus, hyperspectral imaging can be considered as “Next Generation Imaging” for future clinical research. As a contactless, non-invasive method with short process times of just a few seconds, it quantifies predefined substance classes. Results of hyperspectral imaging may support the detection of carcinomas and the classification of different tissue structures as well as the assessment of tissue blood flow. Taken together, this method combines the principle of spectroscopy with imaging using conventional visual cameras. Compared to other optical imaging methods, hyperspectral imaging also analyses deeper layers of tissue.

Hyperspectral Imaging Algorithms and Applications: A Review

“…In [164], the authors discuss HSI as a promising "Next Generation Imaging" technique in clinical research, highlighting its advantages and applications in detecting carcinomas, classifying tissue structures, and assessing tissue blood flow. The conclusion emphasizes the need for optimizing algorithms, reducing redundancies, and expanding the HSI database for routine clinical use, particularly in intraoperative applications for tumor assessment.…”

Hierarchical Unsupervised Partitioning of Large Size Data and Its Application to Hyperspectral Images

“…Calculating all availabilities given the responsibilities according to Equations (3), (4), and (6) 4. Combining availabilities and responsibilities according to Equation (7) for each object x i and identifying exemplars x k that maximize [r(x i , x k ) + â(x i , x k )] 5. if exemplars do not change, proceeding to the next step (6) else repeat steps (2) to (4) until convergence end if 6. Merging every object to its nearest exemplar and break Output: Partition P of K classes and exemplar of each class…”

“…Due to this richness of information, which allows for better discrimination of objects, interest in hyperspectral images has increased during the last years in many application fields. These fields include geology [1], medicine [2][3][4][5][6][7], industrial production [8,9], safety [10], and the environment [11][12][13][14][15][16][17][18][19][20]. In this latter field, hyperspectral imagery has been of great interest and several applications have been treated.…”

Handheld hyperspectral imaging as a tool for the post-mortem interval estimation of human skeletal remains

“…HSI screens for the spatial organization of chemical compounds based on their distinct spectral signatures, like "fingerprints," which extend the spectrometry information into the third dimension [ 67 ]. Compositionally unique substances can be recognized and defined by their chemical components by capturing their spectral fingerprints [ [68] , [69] , [70] , [71] , [72] , [73] ]. HSI has been widely used in different research areas, starting with geological and botanical studies [ [74] , [75] , [76] , [77] ] introduced in food industry issues and art conservation and finally expanded into biomedicine [ [78] , [79] , [80] , [81] , [82] , [83] , [84] , [85] , [86] , [87] ], including intraoperative visualizations used to solve specific intraoperative problem and forensic application [ 62 , [88] , [89] , [90] , [91] , [92] , [93] , [94] , [95] , [96] , [97] , [98] ].…”