DOAJ Open Access 2017

Towards a Novel Approach for Tumor Volume Quantification

Amina Kharbach Benaissa Bellach Mohammed Rahmoune Mohammed Rahmoun Hanane Hadj Kacem

Lihat Sumber DOI

Abstrak

In 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.

Topik & Kata Kunci

Photography Computer applications to medicine. Medical informatics Electronic computers. Computer science

Penulis (5)

Amina Kharbach

Benaissa Bellach

Mohammed Rahmoune

Mohammed Rahmoun

Hanane Hadj Kacem

Format Sitasi

APA MLA BibTeX

Kharbach, A., Bellach, B., Rahmoune, M., Rahmoun, M., Kacem, H.H. (2017). Towards a Novel Approach for Tumor Volume Quantification. https://doi.org/10.3390/jimaging3040041

Akses Cepat

Lihat di Sumber doi.org/10.3390/jimaging3040041

Informasi Jurnal

Tahun Terbit: 2017
Sumber Database: DOAJ
DOI: 10.3390/jimaging3040041
Akses: Open Access ✓