Towards a Novel Approach for Tumor Volume Quantification
AbstractIn medical image processing, evaluating the variations of lesion volume plays a major role in many medical applications. It helps radiologists to follow-up with patients and examine the effects of therapy. Several approaches have been proposed to meet with medical expectations. The present work comes within this context. We present a new approach based on the local dissimilarity volume (LDV) that is a 3D representation of the local dissimilarity map (LDM). This map presents a useful means to compare two images, offering a localization of information. We proved the effectiveness of this method (LDV) compared to medical techniques used by radiologists. The result of simulations shows that we can quantify lesion volume by using the LDV method, which is an efficient way to calculate and localize the volume variation of anomalies. It allowed a time savings with the compete satisfaction of an expert during the medical treatment. View Full-Text
Scifeed alert for new publicationsNever miss any articles matching your research from any publisher
- Get alerts for new papers matching your research
- Find out the new papers from selected authors
- Updated daily for 49'000+ journals and 6000+ publishers
- Define your Scifeed now
Kharbach, A.; Bellach, B.; Rahmoune, M.; Rahmoun, M.; Kacem, H.H. Towards a Novel Approach for Tumor Volume Quantification. J. Imaging 2017, 3, 41.
Kharbach A, Bellach B, Rahmoune M, Rahmoun M, Kacem HH. Towards a Novel Approach for Tumor Volume Quantification. Journal of Imaging. 2017; 3(4):41.Chicago/Turabian Style
Kharbach, Amina; Bellach, Benaissa; Rahmoune, Mohammed; Rahmoun, Mohammed; Kacem, Hanane H. 2017. "Towards a Novel Approach for Tumor Volume Quantification." J. Imaging 3, no. 4: 41.
Note that from the first issue of 2016, MDPI journals use article numbers instead of page numbers. See further details here.