University of Heidelberg
Faculty of Medicine Mannheim
University Hospital Mannheim
CKM receives DFG funding for Project "Prdiktion von Therapieansprechen und Outcome beim lokal fortgeschrittenen Rektum-Karzinom mittels Radiomics und Deep Learning: eine beispielhafte Anwendung fr eine allgemein verwendbare, Deep Learning basierte Prozessierungs-Pipeline fr die Bild-Klassifikation" read more.
Alena-Kathrin Schnurr presented on our research on AI in medical imaging @ Research Plus forum
read more
Dr. Mathias Davids wins the I. I. Rabi Award of the International Society for Magnetic Resonance in Medicine (ISMRM),
read more, article in local newspaper (Mannheimer Morgen)

If you have questions concerning a specific publication please use this form with subject 'information about publications' and giving the full citation in the message body.

Collaborate Research Projects
Home > Publications > Abstract >

Q-space imaging of abdominal tumor

A. Lemke, F. Laun, B. Stieltjes and L. Schad

Proceedings 17th Scientific Meeting, International Society for Magnetic Resonance in Medicine, Honolulu,, p.2066

In this study, we demonstrate the first implementation of q-space imaging of the abdomen and evaluate its potential to improve the delineation of malignancies in comparison to conventional ADC-maps. We show that the implemented q-space sequence provides good image quality notwithstanding the abdominal motion. We also show that there is a substantial difference in signal decay between healthy pancreatic tissue and pancreatic tumor. In the resulting q-space derived maps, especially in the P(0) map, tumor delineation is clearly superior to conventional ADC maps

Contact: Prof. Dr. Frank Zöllner last modified: 21.09.2020
to top of page