Tutorial presentations available online

Due to popular demand, we are hosting presentations from the Histopathology Imaging Tutorial.   Download the presentations by following the "PDF" link next to the speakers' topics on the schedule page.

Registration: Closed

Registration is now closed for MICCAI 2008.

If you are registered for the Histopathology Imaging Tutorial, please make sure you also complete our simple registration form to provide an accurate head count.

Venue Info

The tutorial will be held at the NYU Kimmel Center.   A map and directions have been posted for your convenience.

Tutorial Date Confirmed

The date for all tutorials has been set for Saturday, September 6, 2008.   A detailed schedule of events for the Histopathology Imaging workshop has been posted.

Tutorial Overview

There is a rapidly growing interest in the analysis of histopathological data and the development of appropriate technology to address the processing and analysis issues associated with it. With the recent advances in whole slide scanning technology digitization of tissue histopathology specimens is rapidly becoming commonplace. Since these specimens are usually orders of magnitude larger than datasets obtained via conventional medical imaging (MRI, CT, Xray, Ultrasound), the quantitative analysis and visualization of this data requires specialized and computationally efficient tools. Histology and microscopic imaging have been getting a lot more exposure recently at MICCAI. At MICCAI 2006 the first tutorial on microscopic image analysis, while not specifically dedicated to tissue imaging, drew approximately 50 people. We believe that the proposed tutorial will attract at least as many people.

This tutorial aims to bring together clinical pathologists, oncologists, computer scientists and industrial vendors of tissue imaging equipments to discuss (1) the clinical challenges and open problems, (2) present the state-of-the-art research in quantitative histopathological image analysis and visualization, and (3) advances in whole slide tissue and multi-spectral imaging technology. The tutorial aims to acquaint clinical pathologists on the role that quantitative and automated image analysis can play in tissue diagnosis and also for imaging scientists to understand the most pressing clinical problems.

Abstract and Outline

The processing and analysis of histopathological data is a task considered to be very challenging due to the high density of the data compared to conventional medical imaging such as MRI, CT, XRay, and Ultrasound. The program will comprise short invited talks (15 minutes followed by 5 minutes of Q&A) within each of 3 sessions — Clinical, Image Analysis, and Industrial Innovation. Each session will comprise approximately 3-4 leaders in the field. Following the invited talks within each of the sessions a short panel discussion with audience participation will follow. Session A will be followed by a 20 minute break. Session B will be split on either side of lunch (1.5 hour break) and Session C will follow Session B, post-lunch.

Panel Discussion

Panel discussion: Three panel discussions focusing on (1) clinical problems, (2) Computer-aided diagnosis, and (3) Industrial innovation will be organized. These will be will be lead respectively by Dr. Michael Feldman (Pathology, UPENN), Dr. Anant Madabhushi (BME, Rutgers), and Dr. Metin Gurcan (Biomedical Informatics, OSU).

Format

Lectures by representatives from leading institutions identified above in the field of (a) oncology, (b) clinical histopathology, (c) computer-aided diagnosis, (d) large scale visualization, (e) multi-spectral imaging. Lectures will be inter-twined and collaborative, ideally representing a tutorial that will cover all aspects of histopathology imaging. The panel discussion will aim at elucidating clinical issues and ways in which automated CAD and image analysis can alleviate these problems.

Expected Audience

We expect get at least 40 to 50 full paying MICCAI attendees for such a tutorial judging from the success of the tutorial on microscopic image analysis at MICCAI 2006 which had a similar number of participants. The venue being NYC, the participation is expected to go up. In addition we anticipate this tutorial will attract interest from both the clinical pathology and oncology community, apart from the image analysis and CAD community.

Organizers


Anant Madabhushi
Rutgers University

Michael Feldman
University of Pennsylvania

Metin Gurcan
Ohio State University

K. Palaniappan
University of Missouri-Columbia