ArticleJournal of infrared, millimeter and terahertz waves2018
Assessment of Terahertz Imaging for Excised Breast Cancer Tumors with Image Morphing.
Article in Journal of infrared, millimeter and terahertz waves, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers, 1 of them a synthesis that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
18 citing papers in PubMed, 1 synthesis or guideline pooled it, 38 citations in OpenAlex.
- Terahertz Imaging for Breast Cancer Detection in Animal Models: A Literature Review with Narrative Synthesis.Medical sciences (Basel, Switzerland) · 2026Pooled it
- Deep learning-assisted terahertz intelligent detection and identification of cancer tissue.Fundamental research · 2025Article
- Polarimetry terahertz imaging of human breast cancer surgical specimens.Journal of medical imaging (Bellingham, Wash.) · 2024Article
- Article
- Biomedical application of terahertz imaging technology: a narrative review.Quantitative imaging in medicine and surgery · 2023Review
- Visual Enhancement and Semantic Segmentation of Murine Tissue Scans with Pulsed THz Spectroscopy.Proceedings. IEEE International Conference on Semantic Computing · 2023Article
- Supervised machine learning for automatic classification of in vivo scald and contact burn injuries using the terahertz Portable Handheld Spectral Reflection (PHASR) Scanner.Scientific reports · 2022Article
- Hyperspectral terahertz imaging and optical clearance for cancer classification in breast tumor surgical specimen.Journal of medical imaging (Bellingham, Wash.) · 2022Article
- Deep Learning Classification of Breast Cancer Tissue from Terahertz Imaging Through Wavelet Synchro-Squeezed Transformation and Transfer Learning.Journal of infrared, millimeter and terahertz waves · 2022Article
- Early detection of gastric cancerFrontiers in bioengineering and biotechnology · 2022Article
- Terahertz refractive index-based morphological dilation for breast carcinoma delineation.Scientific reports · 2021Article
- Mammary tumors in Sprague Dawley rats induced by N-ethyl-N-nitrosourea for evaluating terahertz imaging of breast cancer.Journal of medical imaging (Bellingham, Wash.) · 2021Article
- Article
- Terahertz Imaging and Characterization Protocol for Freshly Excised Breast Cancer Tumors.Journal of visualized experiments : JoVE · 2020Article
- Breast Cancer Detection with Low-dimension Ordered Orthogonal Projection in Terahertz Imaging.IEEE transactions on terahertz science and technology · 2020Article
- Terahertz tomographic imaging of freshly excised human breast tissues.Journal of medical imaging (Bellingham, Wash.) · 2019Article
- Electrically Reconfigurable Micromirror Array for Direct Spatial Light Modulation of Terahertz Waves over a Bandwidth Wider Than 1 THz.Scientific reports · 2019Article
- Cancer detection in excised breast tumors using terahertz imaging and spectroscopy.Biomedical spectroscopy and imaging · 2019Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors at 2 institutions in 1 country.
Funding
Abstract
This paper presents an image morphing algorithm for quantitative evaluation methodology of terahertz (THz) images of excised breast cancer tumors. Most current studies on the assessment of THz imaging rely on qualitative evaluation, and there is no established benchmark or procedure to quantify the THz imaging performance. The proposed morphing algorithm provides a tool to quantitatively align the THz image with the histopathology image. Freshly excised xenograft murine breast cancer tumors are imaged using the pulsed THz imaging and spectroscopy system in the reflection mode. Upon fixing the tumor tissue in formalin and embedding in paraffin, an FFPE tissue block is produced. A thin slice of the block is prepared for the pathology image while another THz reflection image is produced directly from the block. We developed an algorithm of mesh morphing using homography mapping of the histopathology image to adjust the alignment, shape, and resolution to match the external contour of the tissue in the THz image. Unlike conventional image morphing algorithms that rely on internal features of the source and target images, only the external contour of the tissue is used to avoid bias. Unsupervised Bayesian learning algorithm is applied to THz images to classify the tissue regions of cancer, fat, and muscles present in xenograft breast tumors. The results demonstrate that the proposed mesh morphing algorithm can provide more effective and accurate evaluation of THz imaging compared with existing algorithms. The results also showed that while THz images of FFPE tissue are highly in agreement with pathology images, challenges remain in assessing THz imaging of fresh tissue.
Indexed as
Identifiers
What OpenQuestion holds
Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.