Photoacoustic imaging of tumor angiogenesis

Kolkman, R.G.M.; Thumma, K.K.; Brinke, G.A. ten; Siphanto, Ronald I.; Neck, Han van; Steenbergen, Wiendelt; Leeuwen, Ton G. van

doi:10.1117/12.761214

Cited by 4 publications

(4 citation statements)

References 16 publications

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“…16 Since aggressively growing tumors are densely vascularized, optoacoustic systems have been used in the past to image various tumors on the macroscopic and microscopic scales. [17][18][19][20][21][22][23] In cancer research using orthotopic models, in which primary tumors are induced in the internal organs and their metastases spontaneously appear in various parts of the animal body, whole-body imaging is desirable. Whole-body mouse imaging may enable the detection of tumors in internal organs, not only subcutaneous tumors.…”

Section: Introductionmentioning

confidence: 99%

Whole-body three-dimensional optoacoustic tomography system for small animals

et al. 2009

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Abstract. We develop a system for three-dimensional whole-body optoacoustic tomography of small animals for applications in preclinical research. The tomographic images are obtained while the objects of study ͑phantoms or mice͒ are rotated within a sphere outlined by a concave arc-shaped array of 64 piezocomposite transducers. Two pulsed lasers operating in the near-IR spectral range ͑755 and 1064 nm͒ with an average pulsed energy of about 100 mJ, a repetition rate of 10 Hz, and a pulse duration of 15 to 75 ns are used as optical illumination sources. During the scan, the mouse is illuminated orthogonally to the array with two wide beams of light from a bifurcated fiber bundle. The system is capable of generating images of individual organs and blood vessels through the entire body of a mouse with spatial resolution of ϳ0.5 mm.

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Section: Introductionmentioning

confidence: 99%

Whole-body three-dimensional optoacoustic tomography system for small animals

et al. 2009

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“…Photoacoustic imaging (PAI), a hybrid imaging method combining high optical absorption contrast with high ultrasound resolution, is highly desirable for vascular imaging and characterization [ 14 , 24 , 42 – 45 ]. In PAI, the tissue absorbs short laser pulses and generates ultrasonic waves (also known as photoacoustic (PA) waves) which can reveal the physiological information of absorbers such as blood, melanin, and water.…”

Section: Visualising the Process Of Vascularisation In Vmentioning

confidence: 99%

Recent Developments in Vascular Imaging Techniques in Tissue Engineering and Regenerative Medicine

Upputuri

Sivasubramanian

Chong

et al. 2015

BioMed Research International

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Adequate vascularisation is key in determining the clinical outcome of stem cells and engineered tissue in regenerative medicine. Numerous imaging modalities have been developed and used for the visualization of vascularisation in tissue engineering. In this review, we briefly discuss the very recent advances aiming at high performance imaging of vasculature. We classify the vascular imaging modalities into three major groups: nonoptical methods (X-ray, magnetic resonance, ultrasound, and positron emission imaging), optical methods (optical coherence, fluorescence, multiphoton, and laser speckle imaging), and hybrid methods (photoacoustic imaging). We then summarize the strengths and challenges of these methods for preclinical and clinical applications.

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“…A few examples can be briefly mentioned as follows. In 2008, Kolkman et al [4] conducted a PAI study to follow the growth of pancreatic tumor cells in a rat. In 2011, Jansen et al [5] demonstrated a study on the intravascular photoacoustic imaging of human coronary atherosclerotic plaque using a custom build catheter.…”

Section: Introductionmentioning

confidence: 99%

Comparison of noise reduction methods in photoacoustic microscopy

Güney

Uluc

Demirkiran

et al. 2019

Computers in Biology and Medicine

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Photoacoustic microscopy (PAM) is classified as a hybrid imaging technique based on the photoacoustic effect and has been frequently studied in recent years. Photoacoustic (PA) signals are inherently recorded in a noisy environment and are also exposed to noise by system components. Therefore, it is essential to reduce the noise in PA signals to reconstruct images with less error. In this study, an image reconstruction algorithm for PAM system was implemented and different filtering approaches for denoising were compared. Studies were carried out in three steps: simulation, experimental phantom and blood cell studies. FIR low-pass and band-pass filters and Discrete Wavelet Transform (DWT) based filters (mother wavelets: "bior3.5", "bior3.7", "sym7") with four different thresholding techniques were examined. For the evaluation purpose, Root Mean Square Error (RMSE), Signal to Noise Ratio (SNR) and Contrast to Noise Ratio *Revised manuscript (clean) Click here to download Revised manuscript (clean): CBM Revised Clean-2.docx (CNR) metrics were calculated. In the simulation studies, the most effective methods were obtained as; sym7/heursure/hard thresh. combination (low and medium level noise) and bior3.7/sqtwolog/soft thresh. combination (high-level noise). In experimental phantom studies, noise was classified into five levels. Different filtering approaches perform better depending on the SNR of PA images. For the blood cell study, based on the standard deviation in the background, sym7/sqtwolog/soft thresh. combination provided the best improvement and this result supported the experimental phantom results.

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Photoacoustic imaging of tumor angiogenesis

Cited by 4 publications

References 16 publications

Whole-body three-dimensional optoacoustic tomography system for small animals

Whole-body three-dimensional optoacoustic tomography system for small animals

Recent Developments in Vascular Imaging Techniques in Tissue Engineering and Regenerative Medicine

Comparison of noise reduction methods in photoacoustic microscopy

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